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Tasks / Strategy

Call product-market fit

Can the model tell real product-market fit from a blended survey, a launch spike or a flattering metric, and say where to scale?

Task type v1.1 · 2 tasksLast changed 6 Oct 2026 · ChangelogDifficulty

What AI gets right here, and what you’ll still have to catch

From 18 graded outputs by 9 models. 50% were usable with at most a quick edit.

Reliably right

  1. Respects explicit constraints100% pass
    The output is a memo addressed to Sam, within 1,200 words, and respects the form and length requirements.
    GPT-6 Astra · ChatGPT · 38%, and the retention that isn't
  2. Finds who it's a must-have for100% pass
    It identifies recruiters as the must-have segment, noting what they value (candidate summaries, ATS scorecards, focus on the candidate) and builds the plan around them.
    GPT-6 Astra · ChatGPT · 38%, and the retention that isn't
  3. Spots false fit100% pass
    The memo calls out the August promotional MRR spike, the active-definition change, and the early erosion as misleading signs of fit.
    GPT-6 Astra · ChatGPT · 38%, and the retention that isn't

Where it slips

  1. Uses the supplied evidence correctly31% pass
    The claim that the cohort jumps line up with the August 3 definition change is not supported; the jumps occur in the week of July 27–August 2, one week before the change, so the evidence is misused.
    GPT-6.1 Sol · API · 38%, and the retention that isn't
  2. Gets the base of every number right47% pass
    The month-6 retention percentages are computed from incorrect sums and denominators, so the base is wrong.
    GPT-6 Luna · API · Do we have fit, or a spike?
  3. Avoids unsupported claims50% pass
    The output presents the jump alignment with the calendar change as fact, but the data shows the jump a week earlier, making it an unsupported claim.
    GPT-6.1 Sol · API · 38%, and the retention that isn't

How it’s graded

Each check is built on how world-class product and growth leaders do this work, as they’ve described it on Lenny’s Podcast, and names the leader it comes from.

  1. Judges fit by retention, not sign-ups

    Does the call on product-market fit rest on whether retention curves flatten, segment by segment, rather than on sign-ups, revenue growth or a survey alone?

    Passes when Reads retention by segment from the data and lets it decide where fit exists, with the survey as supporting evidence.

    Todd JacksonLenny’s PodcastSean EllisLenny’s Podcast

  2. Finds who it's a must-have for

    Does the output profile the users who would be very disappointed without the product, and aim the plan at them and at the users closest to them?

    Passes when Names the segment or persona where the product is a must-have, what they value, and builds the plan around them.

    Rahul VohraLenny’s Podcast

  3. Spots false fit

    Does the output catch evidence that looks like fit but isn't, such as revenue won through custom work, a launch spike, a promotion, or a metric whose definition changed?

    Passes when Names each piece of flattering evidence in the material and explains why it isn't fit.

    Product and growth leadersOn Lenny’s Podcast

  4. Doesn't scale before fit

    Does the recommendation avoid pouring spend or headcount into segments that haven't shown fit, and say what would justify scaling them later?

    Passes when Scales only where fit is shown, and sets the evidence that would justify widening.

    Todd JacksonLenny’s Podcast

Plus our standard checks

Uses the supplied evidence correctly · Addresses the actual decision · Respects explicit constraints · Identifies material uncertainty · Avoids unsupported claims · Produces the required deliverable · Gets the base of every number right · and 3 written for each task, which you’ll see in the tasks below.

The tasks

Read the brief, then compare up to three outputs, each with the LLM judge’s verdict on every check. Highlights mark what a PM had to fix.

The brief

You're the VP Product at Minutely. Our CEO, Sam Okafor, plans to send the draft investor update below next week to open our Series A, and to hire six account executives with the money. Sam has asked you to check it. Write a memo for Sam of no more than 1,200 words: do we have product-market fit, and for whom; what in the draft is right and what isn't; what we should tell investors instead; and where the new money should go. Everything we have is attached. The files are as the teams exported them.

What the model was given8 items: About Minutely, draft_investor_update.md, pmf_survey.csv (in-app survey, September), weekly_active_by_cohort.csv (product analytics dashboard export), core_action_by_persona.csv (share of each sign-up month who shared a summary in week 4 and week 8), mrr.csv, analytics_changelog.md, market_notes.md
About MinutelyAI meeting notes: joins your calls, writes the summary, and pushes it to your tools. Free plan, Pro ($18 per user per month) and Team ($30). 41,000 weekly active users.
draft_investor_update.md5 lines · Download
# Draft investor update (CEO)

We've hit product-market fit. 38% of users say they'd be very disappointed without Minutely, right at the 40% bar, and retention is improving fast: our newest cohorts are far stickier than June's. MRR grew 28% in August.

Plan for the round: hire six account executives to sell Team plans into enterprise engineering organisations, where the seat counts are biggest.
pmf_survey.csv (in-app survey, September)response_id,persona,plan,weeks_active,answer,would_use_instead,what_they_value M2001,Engineer,Free,14,somewhat disappointed,Zoom's notes,Standup summaries M2002,Recruiter,Pro,5,very disappointed,Back to typing notes,Candidate summaries straight into our ATS M2003,Sales,Free,8,somewhat disappointed,Gong,Saves an hour a day M2004,Recruiter,Free,1,not disappointed,Our ATS notes,Scorecards fill themselves M2005,Founder,Team,12,not disappointed,Zoom's notes,Nice to have M2006,Recruiter,Pro,10,very disappointed,Nothing does this as well,I can focus on the candidate M2007,Recruiter,Free,1,not disappointed,Back to typing notes,I can focus on the candidate M2008,Sales,Pro,6,very disappointed,Back to typing notes,CRM notes after every call M2009,Founder,Free,7,somewhat disappointed,"Nothing, I'd manage",Board meeting summaries M2010,Recruiter,Team,10,very disappointed,Nothing does this as well,I can focus on the candidate M2011,Recruiter,Team,21,very disappointed,Our ATS notes,I can focus on the candidate M2012,Recruiter,Pro,4,very disappointed,Back to typing notes,Scorecards fill themselves M2013,Engineer,Pro,18,somewhat disappointed,I don't really need notes,Standup summaries M2014,Recruiter,Pro,3,very disappointed,Nothing does this as well,Scorecards fill themselves M2015,Sales,Pro,4,very disappointed,Our CRM's notes,CRM notes after every call M2016,Recruiter,Team,6,very disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2017,Founder,Pro,13,not disappointed,Zoom's notes,Board meeting summaries M2018,Recruiter,Free,18,very disappointed,Back to typing notes,Candidate summaries straight into our ATS M2019,Recruiter,Team,15,very disappointed,Back to typing notes,I can focus on the candidate M2020,Recruiter,Free,21,very disappointed,Back to typing notes,Candidate summaries straight into our ATS M2021,Engineer,Free,18,very disappointed,Zoom's notes,Not much M2022,Sales,Free,1,somewhat disappointed,Our CRM's notes,Follow-up emails drafted M2023,Engineer,Free,5,very disappointed,Zoom's notes,Not much M2024,Recruiter,Pro,20,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2025,Recruiter,Pro,10,very disappointed,Our ATS notes,I can focus on the candidate M2026,Sales,Team,14,not disappointed,Our CRM's notes,CRM notes after every call M2027,Sales,Free,12,very disappointed,Our CRM's notes,Saves an hour a day M2028,Recruiter,Team,12,somewhat disappointed,Nothing does this as well,I can focus on the candidate M2029,Recruiter,Pro,3,somewhat disappointed,Nothing does this as well,Scorecards fill themselves M2030,Founder,Pro,8,very disappointed,"Nothing, I'd manage",Investor call notes M2031,Recruiter,Free,18,very disappointed,Back to typing notes,Scorecards fill themselves M2032,Recruiter,Team,16,somewhat disappointed,Back to typing notes,I can focus on the candidate M2033,Founder,Pro,20,somewhat disappointed,"Nothing, I'd manage",Board meeting summaries M2034,Recruiter,Free,1,somewhat disappointed,Nothing does this as well,I can focus on the candidate M2035,Sales,Team,6,somewhat disappointed,Our CRM's notes,Saves an hour a day M2036,Engineer,Pro,13,not disappointed,I don't really need notes,Not much M2037,Recruiter,Free,19,very disappointed,Our ATS notes,Scorecards fill themselves M2038,Recruiter,Pro,5,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2039,Founder,Team,21,somewhat disappointed,"Nothing, I'd manage",Board meeting summaries M2040,Recruiter,Pro,3,very disappointed,Nothing does this as well,Scorecards fill themselves M2041,Sales,Pro,2,somewhat disappointed,Our CRM's notes,CRM notes after every call M2042,Sales,Pro,8,very disappointed,Gong,Saves an hour a day M2043,Recruiter,Free,11,very disappointed,Our ATS notes,I can focus on the candidate M2044,Sales,Pro,20,very disappointed,Our CRM's notes,Saves an hour a day M2045,Sales,Pro,5,not disappointed,Our CRM's notes,Follow-up emails drafted M2046,Founder,Free,1,not disappointed,"Nothing, I'd manage",Investor call notes M2047,Sales,Team,2,very disappointed,Back to typing notes,CRM notes after every call M2048,Engineer,Team,15,somewhat disappointed,I don't really need notes,Standup summaries M2049,Sales,Team,4,somewhat disappointed,Back to typing notes,Follow-up emails drafted M2050,Sales,Free,5,somewhat disappointed,Gong,Follow-up emails drafted M2051,Sales,Pro,13,not disappointed,Back to typing notes,Saves an hour a day M2052,Recruiter,Pro,5,very disappointed,Our ATS notes,Candidate summaries straight into our ATS M2053,Founder,Free,12,not disappointed,Zoom's notes,Investor call notes M2054,Founder,Pro,14,somewhat disappointed,Zoom's notes,Board meeting summaries M2055,Recruiter,Free,0,not disappointed,Nothing does this as well,I can focus on the candidate M2056,Recruiter,Team,4,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2057,Founder,Pro,16,very disappointed,Otter,Investor call notes M2058,Recruiter,Pro,17,very disappointed,Nothing does this as well,Scorecards fill themselves M2059,Engineer,Free,1,somewhat disappointed,Nothing,Standup summaries M2060,Sales,Team,3,somewhat disappointed,Our CRM's notes,Saves an hour a day M2061,Engineer,Pro,18,somewhat disappointed,Nothing,Occasionally useful M2062,Founder,Free,10,very disappointed,"Nothing, I'd manage",Board meeting summaries M2063,Sales,Free,0,not disappointed,Our CRM's notes,CRM notes after every call M2064,Recruiter,Pro,18,very disappointed,Back to typing notes,Candidate summaries straight into our ATS M2065,Recruiter,Free,19,very disappointed,Nothing does this as well,I can focus on the candidate M2066,Founder,Free,19,very disappointed,Zoom's notes,Board meeting summaries M2067,Sales,Pro,9,not disappointed,Gong,Saves an hour a day M2068,Founder,Team,6,somewhat disappointed,Zoom's notes,Nice to have M2069,Sales,Free,11,very disappointed,Our CRM's notes,Follow-up emails drafted M2070,Sales,Pro,16,very disappointed,Back to typing notes,Saves an hour a day M2071,Sales,Free,14,very disappointed,Our CRM's notes,Follow-up emails drafted M2072,Founder,Pro,17,very disappointed,"Nothing, I'd manage",Board meeting summaries M2073,Sales,Free,1,somewhat disappointed,Back to typing notes,Follow-up emails drafted M2074,Engineer,Pro,18,very disappointed,Nothing,Standup summaries M2075,Sales,Free,1,not disappointed,Our CRM's notes,Saves an hour a day M2076,Recruiter,Free,17,very disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2077,Recruiter,Free,10,very disappointed,Our ATS notes,Scorecards fill themselves M2078,Engineer,Free,0,not disappointed,Zoom's notes,Standup summaries M2079,Founder,Pro,10,not disappointed,Zoom's notes,Board meeting summaries M2080,Recruiter,Free,1,not disappointed,Back to typing notes,Candidate summaries straight into our ATS M2081,Recruiter,Free,7,very disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2082,Founder,Pro,17,very disappointed,Otter,Board meeting summaries M2083,Engineer,Team,12,somewhat disappointed,I don't really need notes,Standup summaries M2084,Sales,Pro,15,very disappointed,Back to typing notes,Saves an hour a day M2085,Recruiter,Free,0,very disappointed,Our ATS notes,Candidate summaries straight into our ATS M2086,Sales,Pro,21,very disappointed,Back to typing notes,Saves an hour a day M2087,Founder,Pro,13,very disappointed,Otter,Nice to have M2088,Engineer,Free,20,very disappointed,Nothing,Not much M2089,Recruiter,Free,0,very disappointed,Our ATS notes,I can focus on the candidate M2090,Sales,Team,5,very disappointed,Gong,Follow-up emails drafted M2091,Engineer,Pro,6,not disappointed,I don't really need notes,Not much M2092,Recruiter,Free,18,very disappointed,Back to typing notes,I can focus on the candidate M2093,Sales,Pro,6,somewhat disappointed,Gong,CRM notes after every call M2094,Recruiter,Pro,4,very disappointed,Back to typing notes,I can focus on the candidate M2095,Sales,Free,0,somewhat disappointed,Our CRM's notes,Saves an hour a day M2096,Recruiter,Free,15,very disappointed,Our ATS notes,Candidate summaries straight into our ATS M2097,Recruiter,Pro,2,very disappointed,Nothing does this as well,I can focus on the candidate M2098,Engineer,Pro,13,not disappointed,Zoom's notes,Standup summaries M2099,Recruiter,Pro,5,somewhat disappointed,Back to typing notes,I can focus on the candidate M2100,Recruiter,Pro,16,very disappointed,Our ATS notes,I can focus on the candidate M2101,Sales,Pro,19,very disappointed,Back to typing notes,Saves an hour a day M2102,Sales,Free,1,very disappointed,Gong,CRM notes after every call M2103,Engineer,Pro,4,somewhat disappointed,Nothing,Standup summaries M2104,Recruiter,Free,0,somewhat disappointed,Our ATS notes,Candidate summaries straight into our ATS M2105,Founder,Free,0,not disappointed,Zoom's notes,Investor call notes M2106,Recruiter,Team,16,very disappointed,Our ATS notes,I can focus on the candidate M2107,Sales,Free,14,very disappointed,Gong,Follow-up emails drafted M2108,Sales,Free,1,somewhat disappointed,Gong,Follow-up emails drafted M2109,Engineer,Free,1,somewhat disappointed,Nothing,Not much M2110,Founder,Team,19,not disappointed,"Nothing, I'd manage",Nice to have M2111,Sales,Pro,4,not disappointed,Back to typing notes,CRM notes after every call M2112,Sales,Free,0,somewhat disappointed,Gong,Saves an hour a day M2113,Sales,Pro,10,very disappointed,Our CRM's notes,CRM notes after every call M2114,Engineer,Team,14,somewhat disappointed,Nothing,Not much M2115,Founder,Pro,17,not disappointed,"Nothing, I'd manage",Nice to have M2116,Engineer,Free,0,not disappointed,I don't really need notes,Not much M2117,Founder,Free,0,not disappointed,Otter,Nice to have M2118,Founder,Pro,5,very disappointed,Zoom's notes,Nice to have M2119,Sales,Free,1,not disappointed,Gong,Saves an hour a day M2120,Engineer,Pro,13,somewhat disappointed,I don't really need notes,Not much M2121,Recruiter,Team,6,very disappointed,Back to typing notes,I can focus on the candidate M2122,Sales,Pro,8,very disappointed,Back to typing notes,CRM notes after every call M2123,Engineer,Pro,3,not disappointed,I don't really need notes,Standup summaries M2124,Recruiter,Team,12,very disappointed,Our ATS notes,I can focus on the candidate M2125,Recruiter,Free,1,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2126,Sales,Team,21,somewhat disappointed,Back to typing notes,Follow-up emails drafted M2127,Recruiter,Pro,17,not disappointed,Our ATS notes,I can focus on the candidate M2128,Sales,Pro,15,somewhat disappointed,Back to typing notes,CRM notes after every call M2129,Sales,Team,7,very disappointed,Our CRM's notes,CRM notes after every call M2130,Sales,Free,10,very disappointed,Gong,Saves an hour a day M2131,Engineer,Free,0,not disappointed,I don't really need notes,Occasionally useful M2132,Recruiter,Team,11,somewhat disappointed,Our ATS notes,I can focus on the candidate M2133,Recruiter,Pro,5,very disappointed,Our ATS notes,Scorecards fill themselves M2134,Engineer,Pro,4,not disappointed,I don't really need notes,Standup summaries M2135,Founder,Free,1,somewhat disappointed,Otter,Investor call notes M2136,Recruiter,Free,0,not disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2137,Sales,Free,13,very disappointed,Gong,Saves an hour a day M2138,Recruiter,Pro,4,very disappointed,Nothing does this as well,Scorecards fill themselves M2139,Recruiter,Free,13,somewhat disappointed,Back to typing notes,Scorecards fill themselves M2140,Sales,Team,11,very disappointed,Back to typing notes,Follow-up emails drafted M2141,Engineer,Pro,7,not disappointed,Nothing,Standup summaries M2142,Engineer,Free,7,somewhat disappointed,Nothing,Not much M2143,Engineer,Free,0,not disappointed,Zoom's notes,Standup summaries M2144,Founder,Pro,8,not disappointed,Otter,Nice to have M2145,Sales,Free,6,somewhat disappointed,Our CRM's notes,Saves an hour a day M2146,Engineer,Free,2,somewhat disappointed,I don't really need notes,Not much M2147,Sales,Pro,8,somewhat disappointed,Our CRM's notes,Saves an hour a day M2148,Recruiter,Free,0,somewhat disappointed,Back to typing notes,Scorecards fill themselves M2149,Sales,Pro,2,somewhat disappointed,Our CRM's notes,CRM notes after every call M2150,Recruiter,Pro,5,very disappointed,Nothing does this as well,I can focus on the candidate M2151,Founder,Free,1,not disappointed,Otter,Board meeting summaries M2152,Recruiter,Pro,18,very disappointed,Nothing does this as well,Scorecards fill themselves M2153,Sales,Pro,20,very disappointed,Back to typing notes,Follow-up emails drafted M2154,Recruiter,Pro,20,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2155,Engineer,Free,0,not disappointed,Nothing,Standup summaries M2156,Recruiter,Free,1,somewhat disappointed,Nothing does this as well,I can focus on the candidate M2157,Engineer,Free,0,somewhat disappointed,Zoom's notes,Standup summaries M2158,Founder,Free,1,not disappointed,Zoom's notes,Board meeting summaries M2159,Sales,Pro,6,somewhat disappointed,Back to typing notes,CRM notes after every call M2160,Engineer,Free,16,somewhat disappointed,I don't really need notes,Occasionally useful M2161,Founder,Free,10,not disappointed,Zoom's notes,Investor call notes M2162,Sales,Free,1,not disappointed,Gong,Saves an hour a day M2163,Founder,Free,1,somewhat disappointed,Zoom's notes,Investor call notes M2164,Engineer,Team,3,somewhat disappointed,Nothing,Standup summaries M2165,Recruiter,Pro,7,not disappointed,Nothing does this as well,Scorecards fill themselves M2166,Recruiter,Pro,13,very disappointed,Back to typing notes,Scorecards fill themselves M2167,Engineer,Team,5,very disappointed,Zoom's notes,Not much M2168,Sales,Team,18,not disappointed,Our CRM's notes,Follow-up emails drafted M2169,Sales,Free,0,somewhat disappointed,Our CRM's notes,Follow-up emails drafted M2170,Sales,Free,10,very disappointed,Gong,Saves an hour a day M2171,Sales,Pro,17,somewhat disappointed,Gong,Saves an hour a day M2172,Founder,Pro,7,somewhat disappointed,Otter,Board meeting summaries M2173,Founder,Free,7,somewhat disappointed,Zoom's notes,Investor call notes M2174,Founder,Team,16,very disappointed,Zoom's notes,Investor call notes M2175,Sales,Free,0,very disappointed,Our CRM's notes,Saves an hour a day M2176,Sales,Pro,6,very disappointed,Gong,Follow-up emails drafted M2177,Recruiter,Pro,9,very disappointed,Our ATS notes,Scorecards fill themselves M2178,Founder,Free,14,somewhat disappointed,Otter,Board meeting summaries M2179,Recruiter,Pro,12,somewhat disappointed,Back to typing notes,I can focus on the candidate M2180,Sales,Pro,10,very disappointed,Gong,CRM notes after every call M2181,Founder,Team,7,somewhat disappointed,Otter,Nice to have M2182,Engineer,Free,20,not disappointed,Zoom's notes,Not much M2183,Engineer,Free,1,not disappointed,I don't really need notes,Not much M2184,Sales,Pro,9,not disappointed,Our CRM's notes,CRM notes after every call M2185,Recruiter,Free,1,somewhat disappointed,Nothing does this as well,Scorecards fill themselves M2186,Founder,Pro,6,very disappointed,"Nothing, I'd manage",Investor call notes M2187,Engineer,Pro,11,not disappointed,I don't really need notes,Standup summaries M2188,Sales,Pro,11,very disappointed,Gong,Follow-up emails drafted M2189,Founder,Free,16,somewhat disappointed,"Nothing, I'd manage",Nice to have M2190,Recruiter,Pro,4,somewhat disappointed,Our ATS notes,Candidate summaries straight into our ATS M2191,Founder,Pro,5,somewhat disappointed,"Nothing, I'd manage",Nice to have M2192,Recruiter,Pro,4,somewhat disappointed,Nothing does this as well,Scorecards fill themselves M2193,Sales,Free,0,very disappointed,Gong,Follow-up emails drafted M2194,Founder,Team,12,not disappointed,Zoom's notes,Nice to have M2195,Sales,Free,4,somewhat disappointed,Our CRM's notes,Follow-up emails drafted M2196,Sales,Pro,14,very disappointed,Back to typing notes,Saves an hour a day M2197,Founder,Free,1,not disappointed,"Nothing, I'd manage",Nice to have M2198,Founder,Pro,12,very disappointed,Otter,Nice to have M2199,Recruiter,Free,15,very disappointed,Nothing does this as well,I can focus on the candidate M2200,Founder,Free,3,very disappointed,"Nothing, I'd manage",Nice to have M2201,Recruiter,Team,13,not disappointed,Our ATS notes,Candidate summaries straight into our ATS M2202,Recruiter,Free,1,not disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2203,Recruiter,Free,1,somewhat disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2204,Recruiter,Team,3,somewhat disappointed,Nothing does this as well,I can focus on the candidate M2205,Sales,Free,1,somewhat disappointed,Back to typing notes,CRM notes after every call M2206,Sales,Pro,2,not disappointed,Our CRM's notes,Saves an hour a day M2207,Founder,Team,3,not disappointed,"Nothing, I'd manage",Board meeting summaries M2208,Founder,Free,0,somewhat disappointed,Otter,Nice to have M2209,Founder,Free,1,very disappointed,"Nothing, I'd manage",Nice to have M2210,Sales,Pro,14,not disappointed,Gong,Saves an hour a day M2211,Sales,Team,5,very disappointed,Our CRM's notes,CRM notes after every call M2212,Recruiter,Team,8,somewhat disappointed,Back to typing notes,Scorecards fill themselves M2213,Recruiter,Pro,9,very disappointed,Our ATS notes,Scorecards fill themselves M2214,Engineer,Team,2,not disappointed,I don't really need notes,Occasionally useful M2215,Sales,Pro,2,very disappointed,Gong,CRM notes after every call M2216,Sales,Free,1,not disappointed,Our CRM's notes,Follow-up emails drafted M2217,Founder,Free,16,somewhat disappointed,Otter,Nice to have M2218,Engineer,Free,0,not disappointed,I don't really need notes,Occasionally useful M2219,Founder,Free,1,not disappointed,Zoom's notes,Nice to have M2220,Recruiter,Team,7,very disappointed,Back to typing notes,Candidate summaries straight into our ATS M2221,Sales,Team,13,somewhat disappointed,Our CRM's notes,CRM notes after every call M2222,Founder,Free,0,somewhat disappointed,"Nothing, I'd manage",Investor call notes M2223,Founder,Free,6,very disappointed,Otter,Board meeting summaries M2224,Engineer,Pro,13,not disappointed,Zoom's notes,Standup summaries M2225,Recruiter,Free,13,not disappointed,Our ATS notes,I can focus on the candidate M2226,Engineer,Pro,18,not disappointed,I don't really need notes,Not much M2227,Founder,Free,5,very disappointed,Otter,Nice to have M2228,Sales,Pro,4,not disappointed,Gong,CRM notes after every call M2229,Engineer,Pro,9,very disappointed,Zoom's notes,Standup summaries M2230,Sales,Pro,15,very disappointed,Back to typing notes,CRM notes after every call M2231,Founder,Team,21,very disappointed,"Nothing, I'd manage",Nice to have M2232,Founder,Free,1,somewhat disappointed,Zoom's notes,Nice to have M2233,Recruiter,Free,6,somewhat disappointed,Nothing does this as well,I can focus on the candidate M2234,Recruiter,Free,15,very disappointed,Our ATS notes,Candidate summaries straight into our ATS M2235,Sales,Pro,21,somewhat disappointed,Gong,CRM notes after every call M2236,Founder,Team,4,somewhat disappointed,Otter,Nice to have M2237,Recruiter,Free,20,somewhat disappointed,Back to typing notes,I can focus on the candidate M2238,Recruiter,Pro,8,not disappointed,Back to typing notes,Candidate summaries straight into our ATS M2239,Sales,Free,2,very disappointed,Back to typing notes,CRM notes after every call M2240,Recruiter,Pro,4,somewhat disappointed,Back to typing notes,I can focus on the candidate M2241,Founder,Pro,13,somewhat disappointed,Otter,Nice to have M2242,Recruiter,Team,18,very disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2243,Founder,Free,0,very disappointed,Otter,Investor call notes M2244,Founder,Free,10,very disappointed,Otter,Nice to have M2245,Sales,Free,5,somewhat disappointed,Gong,Follow-up emails drafted M2246,Founder,Team,18,very disappointed,"Nothing, I'd manage",Board meeting summaries M2247,Recruiter,Free,17,very disappointed,Our ATS notes,Scorecards fill themselves M2248,Recruiter,Pro,10,somewhat disappointed,Back to typing notes,I can focus on the candidate M2249,Sales,Free,1,not disappointed,Gong,Follow-up emails drafted M2250,Recruiter,Free,1,very disappointed,Our ATS notes,Candidate summaries straight into our ATS M2251,Engineer,Free,0,not disappointed,Zoom's notes,Not much M2252,Sales,Pro,21,very disappointed,Our CRM's notes,Saves an hour a day M2253,Sales,Free,0,not disappointed,Back to typing notes,Saves an hour a day M2254,Sales,Free,1,somewhat disappointed,Our CRM's notes,Follow-up emails drafted M2255,Engineer,Pro,5,not disappointed,Zoom's notes,Not much M2256,Sales,Pro,2,somewhat disappointed,Gong,Saves an hour a day M2257,Sales,Free,2,somewhat disappointed,Our CRM's notes,Follow-up emails drafted M2258,Sales,Pro,8,very disappointed,Back to typing notes,CRM notes after every call M2259,Sales,Free,1,not disappointed,Our CRM's notes,CRM notes after every call M2260,Founder,Free,1,somewhat disappointed,Zoom's notes,Investor call notes M2261,Sales,Free,0,not disappointed,Gong,CRM notes after every call M2262,Sales,Pro,18,somewhat disappointed,Back to typing notes,CRM notes after every call M2263,Founder,Free,18,somewhat disappointed,"Nothing, I'd manage",Investor call notes M2264,Recruiter,Pro,4,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2265,Engineer,Free,1,somewhat disappointed,Zoom's notes,Occasionally useful M2266,Sales,Free,0,somewhat disappointed,Our CRM's notes,Saves an hour a day M2267,Engineer,Free,18,very disappointed,Nothing,Standup summaries M2268,Recruiter,Free,10,very disappointed,Our ATS notes,Scorecards fill themselves M2269,Sales,Free,1,not disappointed,Our CRM's notes,Follow-up emails drafted M2270,Sales,Pro,3,not disappointed,Gong,CRM notes after every call M2271,Sales,Pro,7,very disappointed,Our CRM's notes,Saves an hour a day M2272,Engineer,Free,0,not disappointed,Zoom's notes,Occasionally useful M2273,Founder,Free,1,not disappointed,Otter,Board meeting summaries M2274,Founder,Free,1,not disappointed,Otter,Investor call notes M2275,Sales,Team,19,very disappointed,Gong,Saves an hour a day M2276,Sales,Pro,6,somewhat disappointed,Gong,Follow-up emails drafted M2277,Recruiter,Pro,7,not disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2278,Sales,Free,0,not disappointed,Back to typing notes,Saves an hour a day M2279,Sales,Free,1,not disappointed,Back to typing notes,CRM notes after every call M2280,Recruiter,Free,1,somewhat disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2281,Recruiter,Team,3,somewhat disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2282,Engineer,Free,0,somewhat disappointed,Zoom's notes,Standup summaries M2283,Sales,Free,0,somewhat disappointed,Back to typing notes,CRM notes after every call M2284,Founder,Free,0,not disappointed,Otter,Nice to have M2285,Sales,Pro,5,very disappointed,Back to typing notes,Follow-up emails drafted M2286,Sales,Pro,16,very disappointed,Our CRM's notes,Saves an hour a day M2287,Sales,Pro,18,somewhat disappointed,Back to typing notes,Saves an hour a day M2288,Founder,Free,0,somewhat disappointed,Zoom's notes,Investor call notes M2289,Engineer,Free,1,not disappointed,I don't really need notes,Not much M2290,Sales,Team,21,very disappointed,Back to typing notes,CRM notes after every call M2291,Engineer,Free,1,somewhat disappointed,Nothing,Not much M2292,Sales,Pro,11,somewhat disappointed,Gong,Follow-up emails drafted M2293,Founder,Pro,19,somewhat disappointed,Otter,Nice to have M2294,Engineer,Pro,21,somewhat disappointed,I don't really need notes,Not much M2295,Sales,Free,19,somewhat disappointed,Our CRM's notes,CRM notes after every call M2296,Sales,Free,1,somewhat disappointed,Back to typing notes,CRM notes after every call M2297,Engineer,Pro,8,not disappointed,I don't really need notes,Not much M2298,Sales,Free,1,not disappointed,Gong,CRM notes after every call M2299,Sales,Team,7,very disappointed,Back to typing notes,CRM notes after every call M2300,Founder,Team,9,very disappointed,Zoom's notes,Nice to have M2301,Engineer,Pro,21,very disappointed,Nothing,Not much M2302,Engineer,Free,7,very disappointed,Zoom's notes,Standup summaries M2303,Recruiter,Free,1,somewhat disappointed,Back to typing notes,Scorecards fill themselves M2304,Sales,Free,0,not disappointed,Our CRM's notes,CRM notes after every call M2305,Recruiter,Free,8,not disappointed,Our ATS notes,Scorecards fill themselves M2306,Sales,Pro,10,not disappointed,Back to typing notes,Saves an hour a day M2307,Recruiter,Pro,2,very disappointed,Nothing does this as well,I can focus on the candidate M2308,Recruiter,Pro,13,very disappointed,Nothing does this as well,Scorecards fill themselves M2309,Recruiter,Pro,5,not disappointed,Back to typing notes,I can focus on the candidate M2310,Sales,Team,21,somewhat disappointed,Gong,Saves an hour a day M2311,Engineer,Pro,15,not disappointed,I don't really need notes,Occasionally useful M2312,Sales,Pro,7,somewhat disappointed,Back to typing notes,Saves an hour a day M2313,Engineer,Pro,2,very disappointed,Zoom's notes,Occasionally useful M2314,Engineer,Team,12,not disappointed,Zoom's notes,Not much M2315,Founder,Free,15,very disappointed,"Nothing, I'd manage",Investor call notes M2316,Founder,Free,10,very disappointed,"Nothing, I'd manage",Nice to have M2317,Sales,Free,0,somewhat disappointed,Our CRM's notes,Saves an hour a day M2318,Sales,Pro,17,somewhat disappointed,Gong,Follow-up emails drafted M2319,Engineer,Free,12,somewhat disappointed,I don't really need notes,Standup summaries M2320,Sales,Free,16,somewhat disappointed,Gong,Saves an hour a day M2321,Engineer,Pro,12,very disappointed,Nothing,Not much M2322,Recruiter,Team,7,somewhat disappointed,Our ATS notes,Scorecards fill themselves M2323,Engineer,Pro,3,not disappointed,I don't really need notes,Occasionally useful M2324,Sales,Pro,8,somewhat disappointed,Our CRM's notes,Follow-up emails drafted M2325,Engineer,Pro,15,not disappointed,Nothing,Not much M2326,Sales,Team,14,very disappointed,Back to typing notes,Follow-up emails drafted M2327,Founder,Team,21,somewhat disappointed,Zoom's notes,Investor call notes M2328,Sales,Team,14,very disappointed,Gong,CRM notes after every call M2329,Sales,Free,9,very disappointed,Gong,Saves an hour a day M2330,Founder,Free,14,not disappointed,Otter,Nice to have M2331,Sales,Pro,19,somewhat disappointed,Gong,Saves an hour a day M2332,Engineer,Pro,4,somewhat disappointed,Zoom's notes,Not much M2333,Sales,Free,0,not disappointed,Back to typing notes,Saves an hour a day M2334,Sales,Pro,7,very disappointed,Our CRM's notes,Saves an hour a day M2335,Sales,Free,9,somewhat disappointed,Our CRM's notes,CRM notes after every call M2336,Engineer,Free,1,not disappointed,Nothing,Not much M2337,Sales,Free,3,not disappointed,Our CRM's notes,CRM notes after every call M2338,Founder,Free,4,very disappointed,Zoom's notes,Board meeting summaries M2339,Engineer,Pro,18,not disappointed,I don't really need notes,Occasionally useful M2340,Engineer,Free,0,somewhat disappointed,Zoom's notes,Not much M2341,Recruiter,Free,13,very disappointed,Our ATS notes,Scorecards fill themselves M2342,Sales,Team,5,very disappointed,Back to typing notes,CRM notes after every call M2343,Engineer,Team,4,somewhat disappointed,Zoom's notes,Not much M2344,Founder,Pro,5,very disappointed,Zoom's notes,Nice to have M2345,Founder,Pro,15,somewhat disappointed,"Nothing, I'd manage",Investor call notes M2346,Founder,Team,4,somewhat disappointed,"Nothing, I'd manage",Investor call notes M2347,Engineer,Free,1,very disappointed,I don't really need notes,Not much M2348,Recruiter,Pro,11,very disappointed,Back to typing notes,Scorecards fill themselves M2349,Founder,Free,21,not disappointed,"Nothing, I'd manage",Board meeting summaries M2350,Recruiter,Free,0,not disappointed,Our ATS notes,Candidate summaries straight into our ATS M2351,Recruiter,Pro,17,very disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2352,Recruiter,Pro,12,very disappointed,Back to typing notes,I can focus on the candidate M2353,Sales,Free,5,not disappointed,Gong,Follow-up emails drafted M2354,Engineer,Free,1,not disappointed,I don't really need notes,Standup summaries M2355,Founder,Pro,4,somewhat disappointed,Zoom's notes,Nice to have M2356,Sales,Free,13,very disappointed,Gong,Follow-up emails drafted M2357,Recruiter,Free,0,very disappointed,Back to typing notes,Candidate summaries straight into our ATS M2358,Recruiter,Team,8,very disappointed,Nothing does this as well,Candidate summaries straight into our ATS M2359,Founder,Free,8,not disappointed,Otter,Investor call notes M2360,Founder,Free,0,somewhat disappointed,Zoom's notes,Board meeting summaries
weekly_active_by_cohort.csv (product analytics dashboard export)cohort_week_starting,signups,week_1_active_pct,week_2_active_pct,week_3_active_pct,week_4_active_pct,week_5_active_pct,week_6_active_pct,week_7_active_pct,week_8_active_pct,week_9_active_pct,week_10_active_pct,week_11_active_pct,week_12_active_pct 2026-06-01,1491,62.5,47.4,39.6,35.5,30.9,28.7,27.3,25.7,38.6,39.4,38.2,38.5 2026-06-08,1710,62.5,48.4,40.0,35.1,30.6,28.6,27.4,39.6,39.2,39.5,38.5,38.1 2026-06-15,1424,62.4,48.1,40.6,34.8,30.7,28.9,40.7,39.9,38.5,39.1,37.9,38.1 2026-06-22,1546,61.7,48.3,39.7,34.8,31.1,42.5,40.5,39.7,39.0,38.8,38.3,37.7 2026-06-29,1672,62.6,48.1,39.4,35.0,44.5,42.5,41.1,40.5,38.8,38.8,37.4,38.2 2026-07-06,1773,61.8,48.4,39.9,48.7,44.6,43.4,40.9,40.6,39.1,38.6,37.4,38.2 2026-07-13,1638,61.8,48.5,54.3,49.3,45.3,43.4,40.7,40.5,38.7,38.9,38.4,37.9 2026-07-20,1831,62.3,61.9,54.1,49.4,44.9,43.1,41.0,40.4,38.4,38.9,38.4, 2026-07-27,1522,76.2,62.4,54.3,48.5,44.8,43.4,41.4,40.4,39.4,38.8,, 2026-08-03,1687,75.7,61.8,54.1,49.1,45.1,42.9,40.8,40.0,38.6,,, 2026-08-10,1769,76.4,62.2,53.7,48.4,45.5,43.2,41.0,39.4,,,, 2026-08-17,1731,75.6,61.6,53.9,48.5,44.4,43.4,41.5,,,,, 2026-08-24,1453,76.1,62.3,54.3,49.6,44.9,43.0,,,,,, 2026-08-31,1603,76.5,61.6,54.1,48.5,45.4,,,,,,, 2026-09-07,1765,66.5,54.2,48.3,44.0,,,,,,,, 2026-09-14,1652,67.2,54.5,47.7,,,,,,,,,
core_action_by_persona.csv (share of each sign-up month who shared a summary in week 4 and week 8)persona,signup_month,week_4_shared_a_summary_pct,week_8_shared_a_summary_pct Recruiter,2026-06,66,58 Recruiter,2026-07,65,57 Recruiter,2026-08,66,58 Recruiter,2026-09,57, Sales,2026-06,50,41 Sales,2026-07,49,40 Sales,2026-08,51,42 Sales,2026-09,44, Founder,2026-06,39,30 Founder,2026-07,38,29 Founder,2026-08,40,31 Founder,2026-09,34, Engineer,2026-06,19,13 Engineer,2026-07,18,12 Engineer,2026-08,18,12 Engineer,2026-09,15,
mrr.csv4 rows · Download
month,mrr_usd,new_mrr_usd,churned_mrr_usd,note
2026-06,182000,21000,7400,
2026-07,196000,22100,8100,
2026-08,251000,63800,8800,"Team plan annual prepay promotion, 40% off, ran 1-31 Aug"
2026-09,262000,21500,10500,
analytics_changelog.md5 lines · Download
# Analytics changelog

- 2026-07-14: Added persona to sign-up (self-reported).
- 2026-08-03: "Active user" now includes opening the daily summary email, as well as recording, opening or sharing a summary in the app. Requested by Growth so email engagement counts.
- 2026-09-01: Added "shared a summary" as a tracked core action; backfilled to June from event logs.
market_notes.md5 lines · Download
# Market notes (from the CEO's chief of staff)

- 8 Sep 2026: Zoom announced free AI meeting notes for every paid Zoom plan.
- Two Team-plan customers asked in September whether they still need us "now that Zoom does this".
- Our closest paid competitors (Otter, Fathom) haven't changed pricing.
What a strong answer doesThe answer key the graders mark against

Says Minutely has fit with recruiters and probably sales teams, not with everyone, and that the draft overstates it in three ways. (1) The survey: 38% is a blend that includes 90 people who've used Minutely for under two weeks (11% very disappointed); among established users it's 47%, and by persona 62% of recruiters and 49% of sales users against 24% of engineers. The case for fit is stronger and narrower than the draft says. (2) Retention isn't 'improving fast': from 3 August 'active' includes opening the summary email, so every cohort's curve jumps about 14 points that week, and August cohorts only look stickier because of the definition. On the consistent core action (shared a summary), week-8 retention is flat across June to August for each persona, and September cohorts' week-4 retention fell (recruiters 66 to 57, sales 51 to 44) after Zoom launched free notes on 8 September: an early erosion signal the draft ignores. (3) August's 28% MRR growth is mostly the Team annual prepay promotion at 40% off (new MRR $63,800 against about $21,500 in a normal month), not demand. Recommends not hiring AEs to sell into enterprise engineering, the persona with the weakest fit and the most exposure to Zoom; put the money into recruiters and sales teams (integrations with ATS and CRM, where value is specific). Rewrites the investor message honestly (strong fit in a named segment, with the consistent retention numbers) and fixes the active-user definition.

Critical failures (cap the score at 40)
  • Endorses sending the draft's claim that retention is improving fast
  • Recommends hiring the six AEs to sell into enterprise engineering organisations
Task

Staff-level · v1.1

The outputs

9 setups answered this brief.

GPT-6 AstraChatGPT100Usable with a quick editGPT-6.1 SolAPI87Needs more workHaiku 5.5API85Usable with a quick editOpus 5.5Claude80Usable with a quick editSonnet 5.5API80Usable with a quick editGPT-6 LunaAPI78Needs more workGemini 4 ArgonAPI77Usable with a quick editGemini 3.8 FlashAPI60Needs more workGemini 3.5 Flash-LiteGemini50Needs more work
Gemini 4 ArgonAPI

Usable with a quick edit9 of 14 checks passed

The output is substantively correct and structured, and a PM could add a sentence on uncertainty and a trigger for future scaling with a quick edit, without rechecking the underlying data.

Output

MEMO

To: Sam Okafor, CEO From: VP Product Date: October 2, 2026 Subject: Urgent Review: Series A Investor Update & Capital Allocation Plan

Sam,

I reviewed the draft investor update and the underlying data exports across Product, Growth, and Finance. We should not send this update as written, nor should we hire six enterprise AEs to target engineering.

If we pitch the metrics in your draft, a Series A diligence team will quickly uncover that our recent retention and MRR spikes were driven by an analytics definition change and a temporary discount—and that our retention actually dropped in September after Zoom launched free AI meeting notes.

However, beneath the blended averages, we have undeniable, world-class product-market fit in a different segment: Recruiting, followed closely by Sales. We have a strong Series A story, provided we pivot our narrative and capital toward the users who truly need us.

---

1. Do We Have Product-Market Fit, and For Whom?

Blended across all 360 responses, our Superhuman PMF score (“very disappointed” without Minutely) is 38.3% (138/360). Because 24% of our survey respondents are in their first week (0–1 weeks active), filtering for active users who have actually experienced the product (2+ weeks tenure, n=273) pushes our overall score to 46.2% (126/273). Among paying users (Pro/Team, n=187), it is 50.3%.

However, averaging across personas hides a massive divergence. We do not have a horizontal product; we have a vertical workflow product:

PersonaAll Respondents (n=360)Tenure 2+ Weeks (n=273)Paying Users: Pro/Team (n=187)Wk 4 / Wk 8 Core Action (Jun–Aug)Primary Value / Alternative
:---:---:---:---:---:---
Recruiter55.7% (54/97)67.6% (50/74)67.9% (38/56)66% / 58%Auto-filling ATS scorecards; focusing on candidates. ("Nothing does this as well")
Sales37.8% (45/119)48.3% (42/87)51.6% (32/62)50% / 41%Pushing notes to CRM; saving 1 hr/day. Alternatives: CRM notes, Gong.
Founder29.7% (22/74)35.8% (19/53)44.1% (15/34)39% / 30%Board/investor notes; "Nice to have". Alternatives: Zoom, Otter, "I'd manage".
Engineer24.3% (17/70)25.4% (15/59)25.7% (9/35)18% / 12%Standup summaries; "Not much". Alternatives: "I don't really need notes", Zoom.
  • We have exceptional PMF with Recruiters (67.6% among 2+ week users) and strong PMF with Sales (48.3%). Why? Because their jobs require pushing structured data into an external system of record (ATS or CRM) immediately after a call.
  • We do NOT have PMF with Engineers (24.3%) or Founders (29.7%). For them, Minutely is a passive transcription tool. Over half of engineers say they value "not much" or find it only "occasionally useful," and their core action rate (sharing a summary) is just 12% by Week 8.

---

2. What in the Draft is Right—and What Isn’t

What is right: * We are right at the 40% PMF bar overall (38.3% raw, 46.2% tenured), and our paying users love the product (50.3% PMF).

What is wrong (and dangerous in diligence): 1. “Retention is improving fast: our newest cohorts are far stickier than June's.” False. On August 3, Growth changed the definition of an "Active User" to include opening the daily summary email alongside app actions. In `weeklyactivebycohort.csv`, this created an artificial ~13–14 percentage point step-up across every single cohort simultaneously on the exact diagonal corresponding to August 3 (Week 9 for the June 1 cohort jumps from 25.7% to 38.6%; Week 8 for June 8 jumps from 27.4% to 39.6%; Week 1 for July 27 jumps from 62.3% to 76.2%). Looking at our backfilled, clean metric (`coreactionbypersona.csv`—sharing a summary), cohort retention was completely flat from June through August. 2. September retention and the "Zoom Effect" are missing. On September 8, Zoom announced free AI meeting notes for all paid plans. Immediately, our September 7 and September 14 cohorts dropped by ~9.5 percentage points in Week 1 active rates (from ~76% down to ~66.8%) and ~7.5 points in Week 2 (from ~62% to ~54.3%). Furthermore, Week 4 core action rates fell across all personas in September—most severely in Engineers (-19% relative drop) and Founders (-14%). Generic note-taking is now commoditized by Zoom. 3. “MRR grew 28% in August.” Misleading without context. MRR grew from $196k to $251k (+28.1%) in August solely because we ran a 40%-off annual prepay promotion on Team plans, spiking New MRR to $63.8k. In September, New MRR reverted to $21.5k (inline with June's $21.0k and July's $22.1k), while Churned MRR rose to $10.5k (from $7.4k in June). September net MRR growth was just 4.4% ($262k total). 4. “Hire six AEs to sell Team plans into enterprise engineering.” Fatal strategy. Engineering has our lowest PMF (24%), lowest usage (12% Wk 8 sharing), and highest vulnerability to free bundled tools like Zoom. Hiring six AEs to sell a $30/seat tool to engineers who explicitly say "I don't really need notes" will burn our Series A cash with zero return.

---

3. What We Should Tell Investors Instead

Investors will respect us if we proactively separate the commodity market (generic notes) from our high-margin moat (automated workflow execution into systems of record).

Proposed Revised Investor Update: > "Minutely has reached $262k MRR ($3.14M ARR) and 41,000 WAUs, and our September data shows exactly where our moat lies. While our blended PMF survey score is 38% (and 46% among users active 2+ weeks), disaggregating by persona reveals massive pull in workflow-heavy roles: 68% of tenured Recruiters and 48% of Sales users would be 'very disappointed' without Minutely, compared to 25% of Engineers. > > Why? On September 8, Zoom bundled free AI notes into paid plans. While this compressed September activation among casual, internal-meeting note-takers (like Engineers), our core power users remain locked in because Zoom cannot auto-populate an ATS scorecard or update custom CRM fields. From June through August, 58% of Recruiters and 41% of Sales reps actively shared summaries in Week 8. > > After a promotional test in August boosted MRR by 28% (to $251k), organic net MRR grew to $262k in September. We are raising our Series A to double down on where we win: transitioning from a horizontal meeting note-taker into the default AI workflow engine for Recruiting and Revenue teams."

---

4. Where the New Money Should Go

Instead of six enterprise engineering AEs, we should allocate the Series A capital across three areas:

1. Product & Integrations (50% of new hires — Integrations & AI Engineers): * Deepen the ATS/CRM Moat: Recruiters value "Scorecards fill themselves" and "Candidate summaries straight into our ATS." Sales reps value "CRM notes after every call" and "Follow-up emails drafted." We must build deep, bi-directional, two-click integrations with Greenhouse, Lever, Ashby, Workday, Salesforce, and HubSpot. * Persona-Specific Onboarding: Drop generic sign-up flows. Route Recruiters and Sales users directly into connecting their ATS/CRM during onboarding to reverse the September activation dip. 2. Focused Go-To-Market (30% of capital — 2 Mid-Market AEs + PLG/Partner Marketing): * Hire two AEs focused strictly on converting existing Pro Recruiting and Sales users into Team accounts (we already have dozens of Pro advocates inside companies who can champion Team rollouts). * Invest in ecosystem marketing within ATS/CRM marketplaces rather than cold outbound to engineering leaders. 3. Fix Analytics & Pricing Architecture (20% of capital / Immediate Operational Priority): * Revert the "Active User" metric immediately to exclude passive email opens so our dashboards reflect real product health. * Stop 40% discounting on Team plans. Instead, gate deep ATS scorecard automation and CRM field-mapping at the Pro/Team tiers. Recruiters and Sales reps are comparing us to manual data entry or Gong ($100+/seat/month)—at $30/seat, we have immense pricing power if we own their post-call workflow.

Let’s discuss this afternoon so we can adjust the deck and metrics before next week's outreach.

Grades and run details

Decision model 71 · LLM judge 80
Decision model checks
  • failUses the supplied evidence correctly35%
  • passAddresses the actual decision70%
  • passRespects explicit constraints35%
  • failIdentifies material uncertainty56%
  • partialAvoids unsupported claims34%
  • passProduces the required deliverable88%
  • passCatches the redefined metric100%
  • passUnpicks the 38%73%
  • passSees the early erosion85%
  • partialJudges fit by retention, not sign-ups45%
  • failGets the base of every number right19%
  • passFinds who it's a must-have for100%
  • passSpots false fit97%
  • passDoesn't scale before fit41%
Run
Run
#1
API response time
25 s
Submitted
13 Oct 2026
Sonnet 5.5API

Usable with a quick edit11 of 14 checks passed

The memo is well-structured and actionable; the only inaccuracy is the overstatement about the share-of-summary drop for engineers, which can be fixed with a quick edit.

Output

To: Sam Okafor From: VP Product Re: Draft investor update and Series A plan

Bottom line

We have product-market fit with recruiters, probably with sales, and not with engineers or founders. The draft's three claims fail in different ways. The 38% figure is correct but hides the real story. "Retention is improving fast" is an artefact of a metric change. The August MRR jump is mostly a promotion. The six-AE plan targets our weakest segment, just as Zoom starts giving away what that segment uses us for. I would not send the draft, and I would not hire six AEs.

Product-market fit, and for whom

The September survey has 360 responses. 137 said "very disappointed", which is 38.1%, so the draft's number is right. It is below the 40% bar, not "right at" it, and it is a blend of very different groups:

PersonanVery disappointedShared a summary, wk 4 → wk 8 (Jun–Aug signups)What they'd do instead
Recruiter10054%66% → 58%Type notes, ATS notes, "nothing does this as well" (none mention Zoom)
Sales12039%~50% → ~41%CRM notes, Gong, typing (none mention Zoom)
Founder7532%~39% → ~30%Zoom, Otter, "I'd manage"
Engineer6518%~18% → ~12%Zoom, nothing, "don't need notes"
  • Recruiters: 54% on n=100 is roughly 44–64% at 95% confidence, so even the low end clears 40%. Their stated value is workflow output: "candidate summaries straight into our ATS" and "scorecards fill themselves". Paying recruiters look the same as free ones (10 of 19 Team recruiters are "very disappointed"). Their week-8 sharing rate is the best we have, and it is stable across June, July and August signups.
  • Sales: 39% on n=120 is borderline. They value time saved and CRM notes, but Gong and CRM-native notes are real substitutes.
  • Engineers: Only 1 of the 8 Team-plan engineers is "very disappointed". The most common value they give is "not much". Their fallback is Zoom's notes, which is now free.

Caveats: - The survey is in-app, so churned users never saw it. Every number is somewhat flattering. - Persona is self-reported and was only added on 14 July. - I don't know the persona mix of our 41,000 WAU, so the pooled 38% could move either way.

The draft, claim by claim

"38%, right at the 40% bar." The arithmetic is right, but the framing is wrong. Investors who ask for the segment cut will see 54% / 39% / 32% / 18% immediately. Better that we show it first.

"Retention is improving fast: newest cohorts far stickier than June's." This is not true. On 3 August we changed "active user" to include opening the daily summary email (Growth's request). Every cohort measured from that date jumped by about 14 points at every week. You can see it as a diagonal in the cohort table: - The June 1 cohort goes from 25.7% at week 8 to 38.6% at week 9. - Each later cohort jumps in the same calendar week. - Cohorts measured entirely before the change match June's: week 3 is 39.9% for the 6 July cohort versus 39.6% for 1 June. - On a like-for-like basis, retention is flat from June to August.

The newest cohorts are actually weaker. The two September cohorts (7 and 14 Sept) are 4–10 points below August's on the same definition: week 1 is 67% versus 76%, and week 4 is 44% versus 48.5%. Share-of-summary also dropped about 6–9 points in every persona for September signups. Zoom announced free notes on 8 September, and the first affected cohort is the week of 7 September. That is two cohorts and may not hold, but it is the right thing to worry about.

The same definition change affects the 41,000 WAU headline. Any WAU figure from August onward is not comparable with earlier figures. Data should restate it on the old definition before an investor does.

"MRR grew 28% in August." The arithmetic is right (196k to 251k). But new MRR was $63.8k, against a normal $21–22k, during a 40%-off annual-prepay Team promotion that ran only in August. Roughly $42k of the $55k net add looks promotion-driven. Excluding it, August growth was about 7%, in line with June–July. September then slowed to 4.4% ($21.5k new, $10.5k churned). Churned MRR has risen every month and is at its highest in September. The promo accounts also won't face a full-price renewal for a year. The cash is real, but it is not evidence of demand.

"Six AEs to sell Team into enterprise engineering orgs." Engineers are our lowest-conviction persona (18%). They are also the group whose alternative is free Zoom notes, and two Team customers have already asked whether they still need us. Enterprise engineering seat counts are big, but we have no evidence these buyers want the product.

What to tell investors instead

Suggested replacement:

> "Minutely has clear product-market fit with recruiters: 54% would be very disappointed without us (n=100), and 58% still share summaries at week 8. Sales is promising at 39%. Across all users the figure is 38%, because engineers (18%) and founders (32%) are weaker. We're focusing the company on recruiting first. Retention is stable across cohorts (we changed our active-user definition in August and have restated). MRR is $262k. August's 28% included a one-off Team annual-prepay promotion; underlying growth is roughly 5–7% a month. Zoom's free notes launched 8 September. Our early September cohorts are softer and we're tracking it. Our advantage is in delivering output into the ATS and CRM, not in generating summaries."

Investors will see the definition change and the promotion in diligence anyway. Disclosing them ourselves protects our credibility, and the recruiter result is a strong story.

Where the money should go

I'd stage this rather than commit to the full hiring plan up front. I haven't seen the round size, so these are proportions.

  1. Recruiter product depth (largest share). This means more ATS integrations, scorecard accuracy and reliability of pushing summaries into the ATS. It is the thing recruiters value most and Zoom can't easily copy.
  2. Recruiter go-to-market (second share). Hire 1–2 sellers focused on talent-acquisition teams and recruiting agencies, plus lifecycle marketing. The test is whether Team sells to recruiting teams at full price. Add more AEs only once that works.
  3. Sales persona. Make CRM write-back clearly better than CRM-native notes and Gong's. Decide in two quarters whether it is a second wedge.
  4. Measurement. One analytics owner to run a stable activity definition, retention by persona and plan, and revenue and churn by persona.
  5. Engineers and founders. Keep them on self-serve and free plans. No enterprise sales spend.

Open items before this goes out

  • Restated WAU and retention on the old definition (Data).
  • MRR, conversion and churn by persona, which we don't have yet. This decides whether recruiters pay at the rate their love of the product suggests.
  • A weekly read on the September cohorts and on Zoom-related churn or downgrades, starting with the two Team accounts that asked.
  • Survey response rate and how users were selected for the prompt.
  • A check on persona coverage for June signups. Persona was added on 14 July, so the June figures in the core-action table need a note on how they were backfilled.

I'm happy to rewrite the update with you this week.

Claims the judge couldn’t find in the brief

  • Share-of-summary dropped about 6–9 points in every persona for September signups.

Grades and run details

Decision model 79 · LLM judge 80
Decision model checks
  • failUses the supplied evidence correctly34%
  • passAddresses the actual decision85%
  • passRespects explicit constraints51%
  • passIdentifies material uncertainty92%
  • passAvoids unsupported claims16%
  • passProduces the required deliverable74%
  • passCatches the redefined metric100%
  • partialUnpicks the 38%95%
  • passSees the early erosion94%
  • partialJudges fit by retention, not sign-ups56%
  • failGets the base of every number right20%
  • passFinds who it's a must-have for100%
  • passSpots false fit95%
  • passDoesn't scale before fit97%
Run
Run
#1
API response time
2.2 min
Submitted
5 Oct 2026
Gemini 3.8 FlashAPI

Needs more than a quick edit9 of 14 checks passed

The persona PMF percentages are inaccurate and the tenure breakdown of the 38% is missing, so a PM would need to recheck the survey data and correct the numbers.

Output

MEMORANDUM

TO: Sam Okafor, CEO FROM: VP Product DATE: September 28, 2026 SUBJECT: Series A Strategy: PMF Reality, Narrative Audit, and Capital Allocation

*

Executive Summary

We should not send the draft investor update in its current form, nor should we hire six enterprise engineering account executives.

While our top-line metrics look promising at a surface glance, digging into the cohort logs, survey responses, and changelogs reveals three critical truths: 1. We do not have product-market fit across the board, and we have virtually none in engineering. Our true PMF is concentrated almost entirely in Recruiting and Talent Acquisition, with secondary traction in Sales. 2. Our retention "improvement" is an analytics illusion, and our August MRR surge was a one-time promo. Re-defining active users to include email opens artificially lifted August cohort curves, while underlying core engagement fell in September following Zoom’s bundled AI release. 3. Targeting enterprise engineering orgs will burn our Series A. Engineers neither need nor value meeting notes (12% 8-week core engagement).

If we pitch engineering seat expansion, sophisticated Series A diligence will tear our metrics apart. Instead, we must present Minutely as the vertical AI workflow platform for recruiting, where we have undeniable PMF, defensibility against Zoom, and rapid organic adoption.

---

1. Product-Market Fit: Who Loves Us (and Who Doesn’t)

Our overall survey PMF score sits at 38% ("very disappointed"), just shy of Sean Ellis’s 40% rule of thumb. However, aggregate PMF is misleading because our user base is segmented across four distinct personas with starkly different realities:

``` Persona Survey PMF ("Very Disappointed") W8 Core Action Retention (Summary Shared) Recruiter ~58% 58% Sales ~42% 41% Founder ~28% 30% Engineer ~16% 12% ```

  • Recruiters (Clear PMF): Over 58% of surveyed recruiters would be very disappointed without Minutely. They share summaries at an astonishing 58% rate in Week 8. Their qualitative answers are unambiguous: "Candidate summaries straight into our ATS," "Scorecards fill themselves," and "I can focus on the candidate." When asked what they’d use instead, their top answer is "Nothing does this as well" or "Back to typing notes." They don't view us as a transcription gadget; we are their candidate evaluation workflow.
  • Sales (Moderate PMF, High Competition): Sales reps value our CRM syncing and follow-up drafting, but they actively view Gong and native CRM notes as direct substitutes.
  • Founders (Weak PMF): Founders find board and investor notes "nice to have," but easily substitute us with Otter or Zoom.
  • Engineers (No PMF): Half of all engineers report they would not be disappointed if Minutely disappeared. Only 12% share a summary by Week 8. Their most common feedback is "I don't really need notes," "Not much," or "Zoom's notes." Daily standups are brief, and code commits/Jira tickets are their source of truth.

---

2. Audit of the Draft Update: What’s Right vs. What Isn’t

Draft ClaimAssessmentReality & Diligence Risk
:---:---:---
"We've hit product-market fit (38%... right at the 40% bar)."Misleading38% aggregate conceals that half our base has zero fit, while one vertical (Recruiting) is well past PMF (>58%). Pitching aggregate PMF invites investors to slice the data and find engineering churn.
"Retention is improving fast: our newest cohorts are far stickier than June's."Factually FalseOn August 3, Growth changed the active user definition to include opening the daily summary email. That single instrument change caused every active cohort to instantly jump ~13 percentage points in calendar week 32. True engagement (sharing summaries) actually declined in September.
"MRR grew 28% in August."Contextually MisleadingAugust MRR jumped from $196k to $251k driven by a 40% off annual prepay promotion. In September, MRR growth collapsed to 4.4% ($262k), New MRR reverted to baseline ($21.5k), and churn reached an all-time high of $10.5k. Presenting August as baseline growth will be flagged in diligence as revenue pull-forward.
"Hire six AEs to sell Team plans into enterprise engineering organisations."Disastrous StrategyEnterprise engineering has the lowest core action retention (12%), lowest PMF (16%), and lowest willingness to pay. Selling here guarantees prolonged sales cycles, heavy discounts, and catastrophic net revenue retention (NRR).

---

3. The Elephant in the Room: Zoom’s Free AI Notes

On September 8, Zoom released free AI notes for all paid tiers. The fallout was immediate: * Our Week 1 cohort retention dropped from ~76% in August to 66.5% in September. * Week 4 core action sharing dropped across all personas in September (Recruiters fell from 66% to 57%; Engineers fell to 15%). * Multiple Team accounts are already questioning renewals.

Strategic takeaway: Generic AI transcription and summarization is now a zero-price commodity. Zoom has won standups and generic team catch-ups. Our only defensible moat is vertical workflow integration where Zoom cannot compete. Zoom will not map candidate interview responses to a structured scorecard in Greenhouse or Ashby. Recruiters will pay $30/seat for that alone.

---

4. What We Should Tell Investors Instead

We should reframe our Series A narrative around an intentional, data-backed strategic pivot:

  1. The Headline: Minutely is transitioning from a horizontal meeting assistant into the AI-powered intelligence platform for Recruiting and Talent Acquisition.
  2. The Traction: In our recruiter wedge, we have elite SaaS fundamentals: 58% PMF score, 58% Week 8 workflow retention, and a bottom-up PLG flywheel (interview scorecards shared with hiring managers create inbound demand across the enterprise).
  3. The Competitive Moat: Address Zoom head-on. While Zoom commoditizes generic notes, Minutely captures high-value recruiting workflows: automated ATS enrichment, scorecard completion, bias-audited interview transcription, and candidate tracking.
  4. Honest Unit Economics: Frame the August promotion transparently: it proved strong willingness for teams to lock in annual contracts, establishing that our future lies in annual enterprise Team packages centered around talent teams.

---

5. Where the Series A Money Should Go

Cancel the plan to hire six engineering-focused AEs. Instead, allocate the capital across three pillars:

#### A. Product & Integrations (50% of budget) * Deep ATS Integrations: Build two-way sync for Greenhouse, Lever, Ashby, and Workday. Summaries and competency ratings must populate directly into ATS candidate profiles. * Structured Scorecard Automation: Convert interview transcripts into tailored rubric evaluations based on company-specific job scorecards. * Enterprise Compliance & Redaction: Automated PII and bias masking (EEO compliance), which talent leaders require before purchasing Team plans.

#### B. Verticalized Go-To-Market (35% of budget) * Hire 2 Enterprise AEs + 1 SDR specializing in HR Tech / Talent Acquisition: Target Heads of Talent, VP of People, and Recruiting Ops where deal velocity and ACVs are high. * PLG Viral Expansion Loop: When recruiters share candidate evaluation scorecards with engineering hiring managers, use that touchpoint as an organic acquisition funnel to expand Minutely seats across hiring teams.

#### C. Customer Success & Implementation (15% of budget) * Hire 1 Dedicated Solutions Engineer / Implementation Lead: Help talent orgs configure ATS webhooks and custom scorecards within 48 hours of onboarding, ensuring high Day-30 retention and zero churn.

---

Summary Recommendation

Let’s revise the draft update this week. We have a compelling, authentic story for Series A investors: we discovered a massive, high-margin, sticky vertical in Recruiting that insulates us from Big Tech commoditization. Let's raise our Series A on that winning wedge.

Claims the judge couldn’t find in the brief

  • Recruiter PMF is ~58%.
  • Sales PMF is ~42%.
  • Engineer PMF is ~16%.
  • Founder PMF is ~28%.
  • Enterprise engineering has the lowest willingness to pay.

Grades and run details

Decision model 64 · LLM judge 60
Decision model checks
  • failUses the supplied evidence correctly48%
  • passAddresses the actual decision52%
  • passRespects explicit constraints31%
  • failIdentifies material uncertainty67%
  • failAvoids unsupported claims34%
  • passProduces the required deliverable67%
  • passCatches the redefined metric100%
  • partialUnpicks the 38%94%
  • passSees the early erosion100%
  • passJudges fit by retention, not sign-ups27%
  • failGets the base of every number right41%
  • passFinds who it's a must-have for100%
  • passSpots false fit82%
  • partialDoesn't scale before fit49%
Run
Run
#1
API response time
63 s
Submitted
6 Oct 2026

Check by check

Where the outputs differ comes first. Open a check to read the judge’s reasons. “Mixed” means the two graders disagreed.

Where they differ 6

Uses the supplied evidence correctlyMixedWrongWrong
Gemini 4 Argon · API

All factual statements about the current situation are taken from the supplied data or calculated directly from it.

Sonnet 5.5 · API

The claim that share-of-summary dropped 6-9 points in every persona is inaccurate for Engineers (drop is 3 points), so not all statements about the current situation are fully supported.

Gemini 3.8 Flash · API

Persona PMF percentages are incorrect (e.g., Recruiter 54% not 58%) and the claim about engineering willingness to pay is unsupported.

Identifies material uncertaintyWrongRightWrong
Gemini 4 Argon · API

It does not name the unknowns (e.g., whether the September cohort erosion is lasting, how much of the drop is seasonal vs. Zoom) or state what result would change the recommendation.

Sonnet 5.5 · API

It names unknowns (persona mix of WAU, survey response rate, September cohort durability, MRR by persona) and says what would change the call (e.g., add AEs only once recruiter Team sales work).

Gemini 3.8 Flash · API

The memo does not name specific unknowns that could change the decision or say how they would be resolved.

Avoids unsupported claimsWrongRightWrong
Gemini 4 Argon · API

It presents the September retention drop and Zoom's launch as a causal story ('commoditized by Zoom') without labelling the interpretation, and does not hedge the promotional MRR spike as a likely cause rather than an established sole cause.

Sonnet 5.5 · API

Interpretations and causes are labelled as such (e.g., 'may not hold', 'looks promotion-driven'), and confident claims are backed by data.

Gemini 3.8 Flash · API

Interpretations like 'lowest willingness to pay' and 'Zoom has won standups' are presented as fact without being labelled as hypotheses.

Unpicks the 38%RightWrongWrong
Gemini 4 Argon · API

It separates new users (0-1 weeks) from tenured users and breaks the PMF score down by persona, showing 68% for recruiters vs. 25% for engineers.

Sonnet 5.5 · API

The memo breaks down 38% by persona but does not separate users by tenure (under two weeks vs established) to show how new users dilute the figure.

Gemini 3.8 Flash · API

The memo does not separate users by tenure (e.g., under two weeks vs. established) to show how new users dilute the 38%.

Gets the base of every number rightMixedWrongWrong
Gemini 4 Argon · API

All derived percentages are computed correctly from the data (e.g., 138/360 = 38.3%, 126/273 = 46.2%, step‑change percentages match the table).

Sonnet 5.5 · API

The claim that share-of-summary dropped 6-9 points in every persona is incorrect for Engineers (drop is 3 points), so a derived figure is not accurate.

Gemini 3.8 Flash · API

Persona PMF percentages are miscalculated (e.g., Recruiter 54% not 58%), so derived figures do not check out.

Doesn't scale before fitMixedRightRight
Gemini 4 Argon · API

While it avoids scaling into engineering, it never states what evidence would later justify targeting that segment or under what conditions scaling there would be safe.

Sonnet 5.5 · API

It recommends not scaling AEs into enterprise engineering, and says to add AEs only once recruiter Team sales work at full price.

Gemini 3.8 Flash · API

The memo recommends against scaling AEs into engineering and instead scales only in recruiting where fit is shown.

All got right 8

Addresses the actual decisionRightRightRight
Gemini 4 Argon · API

The memo unambiguously recommends not sending the draft as written, not hiring six enterprise AEs, and redirecting capital toward recruiting and sales.

Sonnet 5.5 · API

The memo commits clearly to PMF with recruiters, probably sales, not engineers or founders, and says not to send the draft or hire six AEs, with conditions to scale later.

Gemini 3.8 Flash · API

The memo clearly recommends not sending the draft, not hiring the six AEs, and reallocating capital to recruiting.

Respects explicit constraintsRightRightRight
Gemini 4 Argon · API

The output is a memo addressed to Sam, well under 1,200 words, and covers the requested topics.

Sonnet 5.5 · API

The memo is addressed to Sam, is well under 1,200 words, and is a complete, actionable memo.

Gemini 3.8 Flash · API

The memo is addressed to Sam, is under 1,200 words, and is in the requested memo format.

Produces the required deliverableRightRightRight
Gemini 4 Argon · API

The memo is complete, in the right format, under the word limit, and Sam could act on it with minor wording tweaks.

Sonnet 5.5 · API

The memo is the requested form, for the CEO, within word limit, and includes a suggested replacement investor message; it is usable with light edits.

Gemini 3.8 Flash · API

The memo is complete, usable, and within the word limit.

Catches the redefined metricRightRightRight
Gemini 4 Argon · API

It links the 3 August analytics change to the simultaneous jump in every cohort's curve and uses the consistent core-action data instead.

Sonnet 5.5 · API

It links the 3 August changelog entry to the cohort-curve jumps, says the 'improvement' is the definition, and uses the shared-a-summary data for consistent retention.

Gemini 3.8 Flash · API

The memo links the August 3 changelog to the cohort curve jump, explains the improvement is the definition, and uses shared-a-summary data.

Sees the early erosionRightRightRight
Gemini 4 Argon · API

It notes the September week‑4 core-action drop, ties it to Zoom's free notes launch, and uses it to advise against scaling in the weakest persona.

Sonnet 5.5 · API

It notes the September drop in week-4 core-action retention, ties it to Zoom's 8 September launch, and factors it into advice to avoid enterprise engineering spend.

Gemini 3.8 Flash · API

The memo notes the September drop in week-4 core-action retention, ties it to Zoom's launch, and uses it to advise focusing on recruiters.

Judges fit by retention, not sign-upsRightRightRight
Gemini 4 Argon · API

The call on fit rests on consistent core-action retention by persona, with the survey as supporting evidence, not on sign-ups or the August revenue bump.

Sonnet 5.5 · API

The call on fit rests on retention curves flattening by segment (shared-a-summary data), with the survey as supporting evidence.

Gemini 3.8 Flash · API

The call on fit rests on retention curves and core-action retention by persona, not just the survey or revenue.

Finds who it's a must-have forRightRightRight
Gemini 4 Argon · API

It profiles recruiters and sales as the must‑have segment, highlights what they value (ATS/CRM automation), and builds the plan around them.

Sonnet 5.5 · API

It names recruiters as the must-have segment, identifies what they value (ATS integration, scorecards), and builds the plan around them.

Gemini 3.8 Flash · API

The memo identifies recruiters as the must-have segment, cites their value (ATS integration, scorecards), and builds the plan around them.

Spots false fitRightRightRight
Gemini 4 Argon · API

It calls out the artificially inflated retention from the definition change, the one‑off MRR spike from the Team prepay promotion, and the survey blend that masks weak personas.

Sonnet 5.5 · API

It catches the August MRR promotion, the active-user definition change, and the blended 38% as false signals of fit.

Gemini 3.8 Flash · API

The memo flags the August promotion, the active-user definition change, and the survey blend as misleading signals of fit.

Results

Every setup we’ve tested on this task type, across all its tasks and repeats, graded on the current checklist. Calibrated.

#Model · HarnessTask scoreDecision modelLLM judgeRunsCritical failures
1GPT-6 AstraChatGPT96.2100.02None
2Sonnet 5.5API79.790.02None
3Haiku 5.5API81.786.02None
4Opus 5.5Claude79.782.92None
5GPT-6.1 SolAPI92.375.72None
6GPT-6 LunaAPI92.772.42None
7Gemini 4 ArgonAPI74.272.12None
8Gemini 3.8 FlashAPI68.762.12None
9Gemini 3.5 Flash-LiteGemini69.051.92None

What you get for the cost

No setup scores within 5 points of the leader at half its cost or less here, so the leader is also the best value.

Task score against relative cost for each setup. The table below has the same figures.50607080901001×3×10×30×100×Cost per output, relative to the cheapest setup (log scale) →↑ Task scoreGPT-6 Astra · ChatGPT: task score 98, 118× the cheapestSonnet 5.5 · API: task score 86, 81× the cheapestHaiku 5.5 · API: task score 83, 6.1× the cheapestOpus 5.5 · Claude: task score 82, 118× the cheapestGPT-6.1 Sol · API: task score 81, 25× the cheapestGPT-6 Luna · API: task score 79, the cheapestGemini 4 Argon · API: task score 72, 16× the cheapestGemini 3.8 Flash · API: task score 65, 16× the cheapestGemini 3.5 Flash-Lite · Gemini: task score 58, 2.8× the cheapestGPT-6 Astra · ChatGPTSonnet 5.5 · APIHaiku 5.5 · APIOpus 5.5 · ClaudeGPT-6.1 Sol · APIGPT-6 Luna · APIGemini 4 Argon · APIGemini 3.8 Flash · APIGemini 3.5 Flash-Lite · Gemini
Nobody beats these on both score and cost

Cost is each output’s tokens at the model’s list price, shown relative to the cheapest setup. Runs done in an app have no usage meter, so theirs are estimated from the same setup’s measured runs. How we compare cost

The PM job

Deciding whether you have product-market fit, and for whom.

Why it matters

Scaling before fit amplifies waste. Most teams read fit from sign-ups or a blended survey, and miss the one segment where it's real.

What good looks like

  • Judges fit by retention, not sign-ups
  • Breaks the survey down by segment and tenure
  • Spots revenue and metrics that flatter
  • Scales only where fit is proven

Deliberately not measured

  • Fundraising strategy beyond what the evidence supports
Capability tested

Reading fit from evidence

The failure we’re looking for

Calling fit from a blended number or a growth spike

Grading

Decision model and LLM judge, calibrated against a blind PM review