Humanity’s Last PRD
Latest drop: Haiku 5.5 · 8 Oct
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 16 graded outputs by 8 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 correctly28% 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 right44% 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. Unpicks the 38%53% pass
    It separates by persona but does not break down the 38% by tenure into ~11% very disappointed for users under two weeks and ~47% for established users, which the criterion explicitly requires.
    Haiku 5.5 · 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 2 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 Head of Product at Relay. Our CEO, Dana Kowalski, wants to triple the sales team next quarter, "because we clearly have product-market fit", and has asked for your view before Thursday's leadership meeting. Write a memo for her of no more than 900 words: do we have product-market fit, for whom, and what should we do next quarter instead of (or as well as) tripling sales? The files are attached below. Work from the data, not from anyone's summary of it.

What the model was given5 items: About Relay, pmf_survey_responses.csv (sent in September to every paying account's admin), logo_retention_by_cohort.csv (paying accounts still active, by sign-up month and segment), signups_by_month.csv, q3_new_business.md
About RelayShift scheduling software for teams that work in shifts: healthcare clinics, hospitality, retail and others. Sold per location per month. 1,120 paying accounts.
pmf_survey_responses.csv (sent in September to every paying account's admin)response_id,segment,company_size,role,months_using,answer,main_benefit R1001,Other,10-50,Operations manager,12,very disappointed,Fine for now R1002,Hospitality,50-200,Area manager,12,somewhat disappointed,Staff like it R1003,Retail,50-200,Store manager,7,not disappointed,Staff can see the rota R1004,Healthcare clinic,50-200,Office manager,8,very disappointed,On-call swaps that follow our rules R1005,Retail,50-200,Regional manager,8,not disappointed,Shift swaps R1006,Hospitality,200-500,Owner,2,very disappointed,Not sure yet R1007,Retail,50-200,Store manager,4,very disappointed,Easier than paper R1008,Other,50-200,Owner,12,very disappointed,Fine for now R1009,Retail,10-50,Store manager,1,not disappointed,Fine for now R1010,Hospitality,10-50,Head chef,11,not disappointed,Shift swaps R1011,Hospitality,50-200,Owner,8,somewhat disappointed,Shift swaps R1012,Retail,50-200,Store manager,1,very disappointed,Shift swaps R1013,Healthcare clinic,50-200,Operations manager,12,very disappointed,"Rota done in an hour, not a day" R1014,Hospitality,50-200,Owner,12,somewhat disappointed,Easier than the spreadsheet R1015,Hospitality,200-500,Area manager,5,not disappointed,Nice app R1016,Healthcare clinic,200-500,Office manager,9,somewhat disappointed,Staff stop texting me at night R1017,Hospitality,10-50,Head chef,5,somewhat disappointed,Staff like it R1018,Hospitality,200-500,Area manager,12,somewhat disappointed,Not sure yet R1019,Healthcare clinic,50-200,Practice manager,14,very disappointed,Staff stop texting me at night R1020,Other,10-50,Team lead,6,not disappointed,Shift swaps R1021,Healthcare clinic,200-500,Operations manager,3,somewhat disappointed,Covering sick calls fast R1022,Retail,50-200,Owner,3,somewhat disappointed,Shift swaps R1023,Healthcare clinic,200-500,Office manager,4,very disappointed,Covering sick calls fast R1024,Hospitality,200-500,Owner,1,somewhat disappointed,Staff like it R1025,Other,50-200,Team lead,11,somewhat disappointed,Shift swaps R1026,Hospitality,10-50,General manager,13,very disappointed,Easier than the spreadsheet R1027,Hospitality,10-50,General manager,4,somewhat disappointed,Shift swaps R1028,Hospitality,10-50,Head chef,6,somewhat disappointed,Not sure yet R1029,Hospitality,10-50,Owner,6,somewhat disappointed,Easier than the spreadsheet R1030,Healthcare clinic,50-200,Office manager,2,not disappointed,On-call swaps that follow our rules R1031,Retail,50-200,Regional manager,14,very disappointed,Staff can see the rota R1032,Healthcare clinic,50-200,Office manager,2,somewhat disappointed,On-call swaps that follow our rules R1033,Retail,10-50,Store manager,3,somewhat disappointed,Shift swaps R1034,Hospitality,10-50,Area manager,13,not disappointed,Easier than the spreadsheet R1035,Hospitality,10-50,Area manager,9,not disappointed,Shift swaps R1036,Other,50-200,Owner,13,not disappointed,Saves time R1037,Retail,10-50,Store manager,11,very disappointed,Staff can see the rota R1038,Retail,50-200,Store manager,10,somewhat disappointed,Easier than paper R1039,Other,50-200,Owner,5,very disappointed,Shift swaps R1040,Other,50-200,Team lead,3,not disappointed,Saves time R1041,Retail,10-50,Owner,10,not disappointed,Shift swaps R1042,Other,10-50,Owner,6,somewhat disappointed,Saves time R1043,Healthcare clinic,200-500,Clinical lead,6,very disappointed,On-call swaps that follow our rules R1044,Healthcare clinic,50-200,Office manager,12,very disappointed,Credential checks before a shift R1045,Hospitality,200-500,Area manager,12,not disappointed,Not sure yet R1046,Healthcare clinic,50-200,Office manager,5,somewhat disappointed,Covering sick calls fast R1047,Healthcare clinic,50-200,Operations manager,10,somewhat disappointed,Covering sick calls fast R1048,Healthcare clinic,200-500,Clinical lead,12,not disappointed,Covering sick calls fast R1049,Hospitality,10-50,Area manager,11,somewhat disappointed,Nice app R1050,Other,50-200,Team lead,6,somewhat disappointed,Saves time R1051,Hospitality,10-50,Head chef,9,somewhat disappointed,Shift swaps R1052,Hospitality,10-50,Area manager,3,not disappointed,Shift swaps R1053,Retail,50-200,Regional manager,7,not disappointed,Fine for now R1054,Retail,10-50,Regional manager,13,somewhat disappointed,Fine for now R1055,Retail,50-200,Store manager,4,very disappointed,Fine for now R1056,Healthcare clinic,50-200,Clinical lead,4,very disappointed,Covering sick calls fast R1057,Healthcare clinic,50-200,Clinical lead,6,very disappointed,On-call swaps that follow our rules R1058,Hospitality,10-50,Area manager,11,somewhat disappointed,Nice app R1059,Healthcare clinic,200-500,Operations manager,14,somewhat disappointed,Credential checks before a shift R1060,Hospitality,10-50,Owner,5,very disappointed,Staff like it R1061,Healthcare clinic,50-200,Clinical lead,1,very disappointed,Covering sick calls fast R1062,Retail,50-200,Regional manager,6,somewhat disappointed,Easier than paper R1063,Hospitality,200-500,Area manager,7,somewhat disappointed,Nice app R1064,Other,10-50,Team lead,7,somewhat disappointed,Saves time R1065,Healthcare clinic,50-200,Clinical lead,10,very disappointed,Staff stop texting me at night R1066,Retail,10-50,Store manager,4,not disappointed,Fine for now R1067,Hospitality,10-50,General manager,8,very disappointed,Not sure yet R1068,Other,50-200,Owner,4,somewhat disappointed,Fine for now R1069,Hospitality,50-200,General manager,5,not disappointed,Nice app R1070,Healthcare clinic,50-200,Office manager,5,somewhat disappointed,Covering sick calls fast R1071,Retail,50-200,Store manager,11,not disappointed,Staff can see the rota R1072,Hospitality,10-50,Head chef,14,somewhat disappointed,Easier than the spreadsheet R1073,Healthcare clinic,50-200,Operations manager,14,somewhat disappointed,"Rota done in an hour, not a day" R1074,Hospitality,10-50,General manager,13,not disappointed,Easier than the spreadsheet R1075,Retail,50-200,Owner,7,not disappointed,Staff can see the rota R1076,Hospitality,200-500,Area manager,1,very disappointed,Shift swaps R1077,Retail,50-200,Owner,1,not disappointed,Shift swaps R1078,Healthcare clinic,50-200,Practice manager,12,somewhat disappointed,Credential checks before a shift R1079,Healthcare clinic,200-500,Operations manager,9,very disappointed,"Rota done in an hour, not a day" R1080,Hospitality,50-200,General manager,11,not disappointed,Not sure yet R1081,Retail,10-50,Regional manager,11,not disappointed,Fine for now R1082,Retail,10-50,Store manager,8,somewhat disappointed,Easier than paper R1083,Hospitality,200-500,Area manager,5,not disappointed,Shift swaps R1084,Retail,10-50,Store manager,10,somewhat disappointed,Easier than paper R1085,Hospitality,200-500,Owner,1,not disappointed,Nice app R1086,Healthcare clinic,200-500,Practice manager,14,very disappointed,Covering sick calls fast R1087,Hospitality,50-200,Owner,4,somewhat disappointed,Nice app R1088,Hospitality,10-50,General manager,4,somewhat disappointed,Staff like it R1089,Hospitality,50-200,Area manager,13,somewhat disappointed,Nice app R1090,Healthcare clinic,200-500,Clinical lead,2,very disappointed,Staff stop texting me at night R1091,Hospitality,200-500,Owner,4,not disappointed,Nice app R1092,Other,10-50,Operations manager,1,somewhat disappointed,Saves time R1093,Retail,50-200,Store manager,1,somewhat disappointed,Easier than paper R1094,Retail,50-200,Owner,3,not disappointed,Easier than paper R1095,Healthcare clinic,50-200,Practice manager,10,very disappointed,On-call swaps that follow our rules R1096,Hospitality,10-50,General manager,4,not disappointed,Easier than the spreadsheet R1097,Hospitality,10-50,General manager,10,very disappointed,Staff like it R1098,Healthcare clinic,200-500,Practice manager,8,very disappointed,Covering sick calls fast R1099,Other,50-200,Owner,5,very disappointed,Saves time R1100,Healthcare clinic,50-200,Operations manager,8,not disappointed,Staff stop texting me at night R1101,Hospitality,200-500,General manager,5,not disappointed,Nice app R1102,Retail,50-200,Owner,9,not disappointed,Staff can see the rota R1103,Retail,50-200,Store manager,4,not disappointed,Staff can see the rota R1104,Healthcare clinic,200-500,Clinical lead,8,somewhat disappointed,Credential checks before a shift R1105,Retail,50-200,Regional manager,8,somewhat disappointed,Fine for now R1106,Retail,50-200,Owner,10,very disappointed,Shift swaps R1107,Other,50-200,Operations manager,5,very disappointed,Saves time R1108,Retail,10-50,Store manager,13,not disappointed,Shift swaps R1109,Hospitality,200-500,General manager,12,somewhat disappointed,Staff like it R1110,Other,50-200,Team lead,3,somewhat disappointed,Shift swaps R1111,Hospitality,50-200,Owner,13,not disappointed,Staff like it R1112,Hospitality,10-50,Area manager,14,somewhat disappointed,Staff like it R1113,Retail,10-50,Regional manager,2,somewhat disappointed,Fine for now R1114,Hospitality,10-50,Head chef,10,very disappointed,Staff like it R1115,Retail,50-200,Store manager,12,not disappointed,Staff can see the rota R1116,Hospitality,10-50,Area manager,11,somewhat disappointed,Not sure yet R1117,Retail,10-50,Owner,1,not disappointed,Fine for now R1118,Other,10-50,Operations manager,13,somewhat disappointed,Shift swaps R1119,Hospitality,50-200,Area manager,8,very disappointed,Shift swaps R1120,Hospitality,50-200,Area manager,3,very disappointed,Nice app R1121,Hospitality,50-200,Head chef,7,not disappointed,Shift swaps R1122,Other,50-200,Operations manager,7,somewhat disappointed,Shift swaps R1123,Other,50-200,Operations manager,9,not disappointed,Shift swaps R1124,Retail,50-200,Owner,9,somewhat disappointed,Fine for now R1125,Retail,50-200,Store manager,11,somewhat disappointed,Fine for now R1126,Healthcare clinic,50-200,Office manager,5,not disappointed,Staff stop texting me at night R1127,Healthcare clinic,50-200,Office manager,13,very disappointed,Staff stop texting me at night R1128,Retail,50-200,Store manager,3,very disappointed,Easier than paper R1129,Healthcare clinic,50-200,Office manager,14,somewhat disappointed,"Rota done in an hour, not a day" R1130,Hospitality,50-200,Area manager,10,not disappointed,Shift swaps R1131,Healthcare clinic,50-200,Office manager,8,very disappointed,Staff stop texting me at night R1132,Healthcare clinic,50-200,Operations manager,5,somewhat disappointed,Covering sick calls fast R1133,Other,50-200,Team lead,11,not disappointed,Shift swaps R1134,Healthcare clinic,200-500,Practice manager,12,somewhat disappointed,On-call swaps that follow our rules R1135,Hospitality,10-50,General manager,11,very disappointed,Easier than the spreadsheet R1136,Healthcare clinic,200-500,Office manager,8,very disappointed,Staff stop texting me at night R1137,Retail,10-50,Store manager,12,somewhat disappointed,Shift swaps R1138,Retail,50-200,Owner,5,somewhat disappointed,Fine for now R1139,Hospitality,10-50,Owner,8,somewhat disappointed,Not sure yet R1140,Retail,10-50,Owner,9,not disappointed,Staff can see the rota R1141,Healthcare clinic,200-500,Operations manager,6,not disappointed,"Rota done in an hour, not a day" R1142,Other,10-50,Owner,3,not disappointed,Shift swaps R1143,Retail,10-50,Owner,2,very disappointed,Staff can see the rota R1144,Retail,10-50,Store manager,12,somewhat disappointed,Easier than paper R1145,Hospitality,10-50,Owner,12,very disappointed,Shift swaps R1146,Retail,10-50,Owner,6,somewhat disappointed,Fine for now R1147,Other,50-200,Owner,7,not disappointed,Fine for now R1148,Retail,10-50,Regional manager,12,very disappointed,Easier than paper R1149,Hospitality,10-50,Owner,9,somewhat disappointed,Nice app R1150,Hospitality,10-50,Head chef,11,not disappointed,Nice app R1151,Retail,10-50,Regional manager,2,not disappointed,Shift swaps R1152,Retail,50-200,Store manager,8,not disappointed,Easier than paper R1153,Healthcare clinic,50-200,Office manager,2,very disappointed,On-call swaps that follow our rules R1154,Hospitality,200-500,Owner,13,somewhat disappointed,Not sure yet R1155,Healthcare clinic,50-200,Practice manager,2,very disappointed,"Rota done in an hour, not a day" R1156,Retail,50-200,Store manager,1,not disappointed,Easier than paper R1157,Retail,10-50,Regional manager,12,not disappointed,Fine for now R1158,Healthcare clinic,200-500,Office manager,14,very disappointed,On-call swaps that follow our rules R1159,Hospitality,200-500,Head chef,1,somewhat disappointed,Shift swaps R1160,Retail,50-200,Owner,14,somewhat disappointed,Staff can see the rota R1161,Retail,10-50,Owner,7,very disappointed,Shift swaps R1162,Healthcare clinic,200-500,Clinical lead,8,somewhat disappointed,On-call swaps that follow our rules R1163,Healthcare clinic,50-200,Clinical lead,9,very disappointed,"Rota done in an hour, not a day" R1164,Retail,10-50,Regional manager,1,somewhat disappointed,Easier than paper R1165,Healthcare clinic,200-500,Operations manager,3,very disappointed,"Rota done in an hour, not a day" R1166,Healthcare clinic,50-200,Office manager,3,not disappointed,Credential checks before a shift R1167,Retail,10-50,Store manager,5,somewhat disappointed,Staff can see the rota R1168,Hospitality,10-50,Owner,14,not disappointed,Not sure yet R1169,Hospitality,50-200,General manager,2,not disappointed,Easier than the spreadsheet R1170,Other,10-50,Owner,14,somewhat disappointed,Saves time R1171,Hospitality,200-500,Head chef,13,not disappointed,Nice app R1172,Healthcare clinic,50-200,Practice manager,2,somewhat disappointed,"Rota done in an hour, not a day" R1173,Healthcare clinic,50-200,Practice manager,7,very disappointed,"Rota done in an hour, not a day" R1174,Healthcare clinic,50-200,Clinical lead,9,somewhat disappointed,Staff stop texting me at night R1175,Healthcare clinic,200-500,Practice manager,8,very disappointed,Staff stop texting me at night R1176,Retail,10-50,Store manager,11,very disappointed,Shift swaps R1177,Healthcare clinic,200-500,Clinical lead,4,very disappointed,Staff stop texting me at night R1178,Healthcare clinic,50-200,Clinical lead,7,very disappointed,On-call swaps that follow our rules R1179,Healthcare clinic,200-500,Clinical lead,4,very disappointed,Staff stop texting me at night R1180,Healthcare clinic,50-200,Office manager,1,somewhat disappointed,"Rota done in an hour, not a day" R1181,Healthcare clinic,200-500,Clinical lead,12,not disappointed,Staff stop texting me at night R1182,Retail,10-50,Store manager,12,somewhat disappointed,Fine for now R1183,Hospitality,10-50,Owner,1,somewhat disappointed,Nice app R1184,Healthcare clinic,50-200,Clinical lead,3,very disappointed,Staff stop texting me at night R1185,Hospitality,10-50,Area manager,13,somewhat disappointed,Staff like it R1186,Healthcare clinic,200-500,Clinical lead,1,somewhat disappointed,"Rota done in an hour, not a day" R1187,Retail,10-50,Regional manager,3,somewhat disappointed,Shift swaps R1188,Hospitality,50-200,Head chef,7,not disappointed,Not sure yet R1189,Hospitality,10-50,General manager,11,not disappointed,Shift swaps R1190,Retail,10-50,Store manager,11,somewhat disappointed,Shift swaps R1191,Hospitality,50-200,Head chef,3,not disappointed,Easier than the spreadsheet R1192,Retail,10-50,Owner,14,somewhat disappointed,Staff can see the rota R1193,Hospitality,50-200,Head chef,10,not disappointed,Shift swaps R1194,Hospitality,10-50,Head chef,1,not disappointed,Easier than the spreadsheet R1195,Healthcare clinic,50-200,Clinical lead,2,not disappointed,Credential checks before a shift R1196,Hospitality,50-200,Head chef,8,not disappointed,Easier than the spreadsheet R1197,Retail,50-200,Store manager,8,not disappointed,Easier than paper R1198,Hospitality,200-500,Area manager,14,somewhat disappointed,Nice app R1199,Healthcare clinic,50-200,Office manager,1,very disappointed,Covering sick calls fast R1200,Healthcare clinic,200-500,Office manager,1,very disappointed,"Rota done in an hour, not a day" R1201,Hospitality,10-50,General manager,2,not disappointed,Nice app R1202,Hospitality,10-50,Head chef,5,somewhat disappointed,Shift swaps R1203,Hospitality,50-200,Owner,2,not disappointed,Nice app R1204,Other,10-50,Owner,3,somewhat disappointed,Shift swaps R1205,Retail,50-200,Store manager,10,somewhat disappointed,Easier than paper R1206,Hospitality,10-50,Area manager,4,not disappointed,Not sure yet R1207,Other,10-50,Operations manager,3,very disappointed,Fine for now R1208,Hospitality,50-200,Owner,7,somewhat disappointed,Not sure yet R1209,Retail,10-50,Regional manager,10,not disappointed,Staff can see the rota R1210,Other,50-200,Owner,13,very disappointed,Fine for now R1211,Other,10-50,Team lead,14,very disappointed,Fine for now R1212,Healthcare clinic,50-200,Office manager,6,somewhat disappointed,Credential checks before a shift R1213,Retail,50-200,Regional manager,7,somewhat disappointed,Shift swaps R1214,Retail,10-50,Regional manager,7,very disappointed,Shift swaps R1215,Other,50-200,Operations manager,9,somewhat disappointed,Saves time R1216,Healthcare clinic,200-500,Practice manager,14,somewhat disappointed,Credential checks before a shift R1217,Hospitality,50-200,Head chef,7,very disappointed,Not sure yet R1218,Healthcare clinic,50-200,Clinical lead,12,somewhat disappointed,Staff stop texting me at night R1219,Healthcare clinic,50-200,Operations manager,12,not disappointed,Credential checks before a shift R1220,Hospitality,10-50,Area manager,9,very disappointed,Shift swaps R1221,Hospitality,10-50,Owner,8,not disappointed,Nice app R1222,Hospitality,50-200,General manager,4,somewhat disappointed,Not sure yet R1223,Retail,50-200,Regional manager,8,somewhat disappointed,Shift swaps R1224,Hospitality,10-50,Head chef,9,somewhat disappointed,Not sure yet R1225,Retail,10-50,Regional manager,7,somewhat disappointed,Staff can see the rota R1226,Hospitality,50-200,Head chef,11,somewhat disappointed,Staff like it R1227,Other,50-200,Team lead,8,very disappointed,Saves time R1228,Hospitality,10-50,Head chef,12,somewhat disappointed,Nice app R1229,Hospitality,10-50,Head chef,9,not disappointed,Easier than the spreadsheet R1230,Hospitality,200-500,General manager,12,somewhat disappointed,Easier than the spreadsheet R1231,Hospitality,10-50,General manager,3,somewhat disappointed,Easier than the spreadsheet R1232,Hospitality,10-50,Area manager,11,very disappointed,Staff like it R1233,Healthcare clinic,50-200,Operations manager,3,somewhat disappointed,"Rota done in an hour, not a day" R1234,Other,50-200,Owner,9,somewhat disappointed,Saves time R1235,Healthcare clinic,200-500,Practice manager,13,very disappointed,On-call swaps that follow our rules R1236,Hospitality,10-50,General manager,11,not disappointed,Not sure yet R1237,Retail,50-200,Store manager,10,not disappointed,Staff can see the rota R1238,Healthcare clinic,50-200,Office manager,6,very disappointed,On-call swaps that follow our rules R1239,Hospitality,200-500,Head chef,5,not disappointed,Nice app R1240,Healthcare clinic,200-500,Operations manager,8,very disappointed,On-call swaps that follow our rules R1241,Retail,50-200,Store manager,14,somewhat disappointed,Easier than paper R1242,Hospitality,50-200,Area manager,5,somewhat disappointed,Easier than the spreadsheet R1243,Healthcare clinic,200-500,Office manager,4,not disappointed,"Rota done in an hour, not a day" R1244,Hospitality,200-500,General manager,1,very disappointed,Nice app R1245,Other,50-200,Team lead,9,not disappointed,Fine for now R1246,Healthcare clinic,50-200,Office manager,6,somewhat disappointed,Credential checks before a shift R1247,Retail,50-200,Store manager,10,somewhat disappointed,Fine for now R1248,Retail,10-50,Owner,12,somewhat disappointed,Fine for now R1249,Healthcare clinic,50-200,Operations manager,13,not disappointed,"Rota done in an hour, not a day" R1250,Hospitality,50-200,Area manager,2,somewhat disappointed,Easier than the spreadsheet R1251,Healthcare clinic,200-500,Practice manager,7,not disappointed,Credential checks before a shift R1252,Other,50-200,Operations manager,11,somewhat disappointed,Fine for now R1253,Healthcare clinic,200-500,Office manager,13,very disappointed,Covering sick calls fast R1254,Retail,50-200,Regional manager,11,not disappointed,Staff can see the rota R1255,Healthcare clinic,50-200,Clinical lead,5,somewhat disappointed,Staff stop texting me at night R1256,Hospitality,200-500,Head chef,1,somewhat disappointed,Not sure yet R1257,Hospitality,200-500,Owner,2,very disappointed,Not sure yet R1258,Hospitality,50-200,Owner,6,very disappointed,Easier than the spreadsheet R1259,Retail,10-50,Regional manager,2,somewhat disappointed,Staff can see the rota R1260,Hospitality,200-500,Head chef,7,somewhat disappointed,Nice app R1261,Healthcare clinic,50-200,Practice manager,13,very disappointed,Staff stop texting me at night R1262,Retail,10-50,Regional manager,12,very disappointed,Shift swaps R1263,Retail,10-50,Regional manager,8,not disappointed,Staff can see the rota R1264,Other,10-50,Owner,1,not disappointed,Shift swaps R1265,Other,50-200,Owner,9,very disappointed,Saves time R1266,Healthcare clinic,200-500,Operations manager,11,very disappointed,"Rota done in an hour, not a day" R1267,Hospitality,10-50,General manager,14,not disappointed,Not sure yet R1268,Hospitality,10-50,Owner,3,somewhat disappointed,Staff like it R1269,Hospitality,200-500,Head chef,9,somewhat disappointed,Nice app R1270,Hospitality,10-50,Owner,4,somewhat disappointed,Staff like it R1271,Hospitality,200-500,Owner,2,not disappointed,Staff like it R1272,Healthcare clinic,50-200,Operations manager,3,very disappointed,Covering sick calls fast R1273,Other,50-200,Team lead,3,very disappointed,Saves time R1274,Healthcare clinic,50-200,Operations manager,7,not disappointed,"Rota done in an hour, not a day" R1275,Healthcare clinic,200-500,Practice manager,12,somewhat disappointed,On-call swaps that follow our rules R1276,Healthcare clinic,50-200,Office manager,8,somewhat disappointed,Credential checks before a shift R1277,Hospitality,200-500,Area manager,12,not disappointed,Nice app R1278,Hospitality,200-500,Area manager,2,somewhat disappointed,Staff like it R1279,Healthcare clinic,200-500,Clinical lead,12,very disappointed,Covering sick calls fast R1280,Hospitality,10-50,Head chef,3,very disappointed,Shift swaps R1281,Other,50-200,Owner,2,very disappointed,Saves time R1282,Healthcare clinic,200-500,Practice manager,13,very disappointed,On-call swaps that follow our rules R1283,Other,50-200,Owner,9,somewhat disappointed,Fine for now R1284,Retail,50-200,Regional manager,12,not disappointed,Staff can see the rota R1285,Retail,10-50,Owner,2,somewhat disappointed,Fine for now R1286,Hospitality,50-200,Area manager,7,somewhat disappointed,Staff like it R1287,Retail,10-50,Owner,13,somewhat disappointed,Fine for now R1288,Healthcare clinic,200-500,Practice manager,13,somewhat disappointed,"Rota done in an hour, not a day" R1289,Other,10-50,Operations manager,4,not disappointed,Saves time R1290,Healthcare clinic,50-200,Practice manager,14,somewhat disappointed,Credential checks before a shift R1291,Healthcare clinic,200-500,Clinical lead,14,very disappointed,Credential checks before a shift R1292,Hospitality,50-200,Head chef,12,very disappointed,Not sure yet R1293,Other,10-50,Operations manager,11,very disappointed,Fine for now R1294,Hospitality,200-500,Head chef,1,somewhat disappointed,Easier than the spreadsheet R1295,Hospitality,50-200,Head chef,13,not disappointed,Staff like it R1296,Retail,10-50,Regional manager,2,somewhat disappointed,Shift swaps R1297,Retail,10-50,Regional manager,1,not disappointed,Shift swaps R1298,Healthcare clinic,50-200,Operations manager,10,somewhat disappointed,Credential checks before a shift R1299,Retail,10-50,Owner,10,somewhat disappointed,Fine for now R1300,Retail,10-50,Owner,14,not disappointed,Shift swaps R1301,Hospitality,200-500,Owner,11,not disappointed,Nice app R1302,Healthcare clinic,50-200,Operations manager,8,somewhat disappointed,Credential checks before a shift R1303,Retail,50-200,Regional manager,13,somewhat disappointed,Fine for now R1304,Hospitality,50-200,Head chef,13,not disappointed,Nice app R1305,Healthcare clinic,200-500,Operations manager,2,somewhat disappointed,On-call swaps that follow our rules R1306,Retail,10-50,Owner,11,not disappointed,Fine for now R1307,Healthcare clinic,200-500,Practice manager,14,very disappointed,Covering sick calls fast R1308,Retail,10-50,Regional manager,9,somewhat disappointed,Staff can see the rota R1309,Hospitality,10-50,Head chef,4,somewhat disappointed,Easier than the spreadsheet R1310,Healthcare clinic,50-200,Clinical lead,10,very disappointed,"Rota done in an hour, not a day" R1311,Retail,50-200,Store manager,7,not disappointed,Fine for now R1312,Hospitality,50-200,Area manager,1,very disappointed,Easier than the spreadsheet R1313,Other,10-50,Owner,3,somewhat disappointed,Fine for now R1314,Retail,10-50,Store manager,7,very disappointed,Easier than paper R1315,Hospitality,10-50,Head chef,11,very disappointed,Not sure yet R1316,Retail,50-200,Regional manager,14,somewhat disappointed,Staff can see the rota R1317,Retail,50-200,Store manager,13,somewhat disappointed,Shift swaps R1318,Retail,10-50,Store manager,9,very disappointed,Staff can see the rota R1319,Other,50-200,Owner,2,not disappointed,Shift swaps R1320,Hospitality,10-50,General manager,5,somewhat disappointed,Not sure yet R1321,Hospitality,200-500,General manager,7,very disappointed,Staff like it R1322,Healthcare clinic,200-500,Clinical lead,4,somewhat disappointed,"Rota done in an hour, not a day" R1323,Other,50-200,Operations manager,7,very disappointed,Saves time R1324,Healthcare clinic,50-200,Operations manager,8,very disappointed,On-call swaps that follow our rules R1325,Healthcare clinic,50-200,Clinical lead,14,very disappointed,"Rota done in an hour, not a day" R1326,Healthcare clinic,50-200,Office manager,11,not disappointed,Credential checks before a shift R1327,Healthcare clinic,200-500,Clinical lead,2,very disappointed,"Rota done in an hour, not a day" R1328,Other,10-50,Team lead,8,not disappointed,Shift swaps R1329,Healthcare clinic,200-500,Clinical lead,3,somewhat disappointed,Credential checks before a shift R1330,Healthcare clinic,200-500,Clinical lead,7,somewhat disappointed,Staff stop texting me at night R1331,Hospitality,200-500,Head chef,14,somewhat disappointed,Easier than the spreadsheet R1332,Healthcare clinic,200-500,Operations manager,3,somewhat disappointed,"Rota done in an hour, not a day" R1333,Retail,10-50,Regional manager,13,very disappointed,Shift swaps R1334,Hospitality,50-200,Head chef,6,somewhat disappointed,Nice app R1335,Retail,50-200,Owner,14,somewhat disappointed,Shift swaps R1336,Healthcare clinic,50-200,Clinical lead,8,very disappointed,Staff stop texting me at night R1337,Retail,10-50,Regional manager,12,not disappointed,Fine for now R1338,Retail,10-50,Store manager,5,not disappointed,Shift swaps R1339,Hospitality,50-200,Area manager,3,not disappointed,Staff like it R1340,Other,50-200,Owner,7,not disappointed,Saves time R1341,Healthcare clinic,200-500,Practice manager,12,very disappointed,Credential checks before a shift R1342,Hospitality,50-200,General manager,4,not disappointed,Nice app R1343,Other,10-50,Operations manager,2,somewhat disappointed,Fine for now R1344,Hospitality,10-50,Area manager,13,not disappointed,Easier than the spreadsheet R1345,Other,10-50,Operations manager,1,not disappointed,Saves time R1346,Retail,10-50,Regional manager,11,somewhat disappointed,Shift swaps R1347,Retail,50-200,Regional manager,5,somewhat disappointed,Staff can see the rota R1348,Hospitality,10-50,Area manager,13,somewhat disappointed,Nice app R1349,Hospitality,200-500,Head chef,14,not disappointed,Nice app R1350,Healthcare clinic,50-200,Clinical lead,5,somewhat disappointed,Covering sick calls fast R1351,Healthcare clinic,200-500,Office manager,2,very disappointed,On-call swaps that follow our rules R1352,Retail,50-200,Regional manager,11,not disappointed,Easier than paper R1353,Hospitality,10-50,General manager,2,somewhat disappointed,Not sure yet R1354,Hospitality,10-50,Owner,3,very disappointed,Easier than the spreadsheet R1355,Hospitality,10-50,Owner,1,somewhat disappointed,Nice app R1356,Retail,10-50,Store manager,10,somewhat disappointed,Fine for now R1357,Hospitality,200-500,Head chef,13,not disappointed,Shift swaps R1358,Retail,10-50,Owner,13,somewhat disappointed,Shift swaps R1359,Other,50-200,Operations manager,6,very disappointed,Shift swaps R1360,Other,10-50,Owner,1,somewhat disappointed,Saves time R1361,Hospitality,200-500,Head chef,5,not disappointed,Staff like it R1362,Hospitality,10-50,Head chef,6,not disappointed,Staff like it R1363,Hospitality,10-50,Head chef,12,very disappointed,Easier than the spreadsheet R1364,Healthcare clinic,200-500,Practice manager,6,very disappointed,"Rota done in an hour, not a day" R1365,Healthcare clinic,200-500,Clinical lead,3,not disappointed,Credential checks before a shift R1366,Retail,50-200,Owner,12,very disappointed,Fine for now R1367,Healthcare clinic,200-500,Operations manager,9,very disappointed,Covering sick calls fast R1368,Hospitality,200-500,Area manager,13,not disappointed,Easier than the spreadsheet R1369,Hospitality,10-50,Owner,2,very disappointed,Not sure yet R1370,Healthcare clinic,200-500,Clinical lead,5,very disappointed,Credential checks before a shift R1371,Hospitality,50-200,Owner,7,somewhat disappointed,Easier than the spreadsheet R1372,Hospitality,10-50,Head chef,9,somewhat disappointed,Staff like it R1373,Healthcare clinic,200-500,Practice manager,12,very disappointed,On-call swaps that follow our rules R1374,Hospitality,10-50,Owner,4,very disappointed,Staff like it R1375,Hospitality,200-500,Head chef,1,somewhat disappointed,Not sure yet R1376,Healthcare clinic,50-200,Operations manager,5,very disappointed,Credential checks before a shift R1377,Hospitality,10-50,General manager,11,somewhat disappointed,Staff like it R1378,Healthcare clinic,200-500,Practice manager,13,very disappointed,On-call swaps that follow our rules R1379,Hospitality,50-200,Head chef,7,very disappointed,Easier than the spreadsheet R1380,Healthcare clinic,50-200,Practice manager,1,very disappointed,"Rota done in an hour, not a day" R1381,Hospitality,200-500,General manager,6,somewhat disappointed,Shift swaps R1382,Hospitality,50-200,Owner,6,somewhat disappointed,Nice app R1383,Healthcare clinic,50-200,Clinical lead,13,not disappointed,On-call swaps that follow our rules R1384,Hospitality,200-500,Owner,10,not disappointed,Staff like it R1385,Hospitality,200-500,Area manager,3,somewhat disappointed,Staff like it R1386,Healthcare clinic,200-500,Office manager,12,very disappointed,Staff stop texting me at night R1387,Hospitality,10-50,Owner,7,very disappointed,Not sure yet R1388,Hospitality,50-200,Area manager,5,not disappointed,Staff like it R1389,Hospitality,200-500,General manager,9,somewhat disappointed,Easier than the spreadsheet R1390,Healthcare clinic,50-200,Office manager,2,very disappointed,Staff stop texting me at night R1391,Retail,10-50,Regional manager,1,not disappointed,Staff can see the rota R1392,Healthcare clinic,50-200,Practice manager,8,very disappointed,On-call swaps that follow our rules R1393,Retail,50-200,Owner,13,not disappointed,Easier than paper R1394,Healthcare clinic,200-500,Clinical lead,7,very disappointed,On-call swaps that follow our rules R1395,Retail,50-200,Store manager,2,not disappointed,Fine for now R1396,Retail,10-50,Regional manager,4,not disappointed,Fine for now R1397,Hospitality,10-50,Area manager,3,somewhat disappointed,Not sure yet R1398,Other,10-50,Operations manager,4,somewhat disappointed,Fine for now R1399,Retail,10-50,Owner,2,very disappointed,Shift swaps R1400,Retail,10-50,Store manager,2,somewhat disappointed,Staff can see the rota R1401,Healthcare clinic,200-500,Operations manager,10,very disappointed,"Rota done in an hour, not a day" R1402,Healthcare clinic,200-500,Practice manager,1,somewhat disappointed,On-call swaps that follow our rules R1403,Other,10-50,Operations manager,3,somewhat disappointed,Shift swaps R1404,Other,50-200,Team lead,6,very disappointed,Shift swaps R1405,Healthcare clinic,50-200,Practice manager,7,very disappointed,"Rota done in an hour, not a day" R1406,Retail,10-50,Store manager,14,not disappointed,Fine for now R1407,Healthcare clinic,200-500,Operations manager,4,very disappointed,Covering sick calls fast R1408,Healthcare clinic,50-200,Operations manager,8,somewhat disappointed,Covering sick calls fast R1409,Healthcare clinic,200-500,Operations manager,2,very disappointed,"Rota done in an hour, not a day" R1410,Retail,10-50,Owner,1,not disappointed,Shift swaps R1411,Retail,10-50,Owner,2,somewhat disappointed,Fine for now R1412,Hospitality,200-500,Head chef,4,somewhat disappointed,Easier than the spreadsheet
logo_retention_by_cohort.csv (paying accounts still active, by sign-up month and segment)cohort_month,segment,accounts_at_start,active_month_1,active_month_2,active_month_3,active_month_4,active_month_5,active_month_6,active_month_7,active_month_8,active_month_9 2025-10,Healthcare clinic,18,17,15,14,13,13,13,13,13,13 2025-10,Hospitality,23,20,17,15,13,12,11,10,9,8 2025-10,Retail,21,18,15,13,11,9,8,8,7,6 2025-11,Healthcare clinic,18,17,15,14,13,13,13,13,13,13 2025-11,Hospitality,23,20,17,15,13,12,11,10,9,8 2025-11,Retail,15,13,11,9,8,7,6,5,5,4 2025-12,Healthcare clinic,16,15,14,12,12,11,11,11,11,11 2025-12,Hospitality,25,22,19,17,14,13,12,11,10,9 2025-12,Retail,23,20,16,14,12,10,9,8,7,7 2026-01,Healthcare clinic,16,15,14,12,12,11,11,11,11, 2026-01,Hospitality,27,24,21,18,16,14,12,11,10, 2026-01,Retail,17,14,12,10,9,8,7,6,5, 2026-02,Healthcare clinic,14,13,12,11,10,10,10,10,, 2026-02,Hospitality,25,22,19,17,14,13,12,11,, 2026-02,Retail,21,18,15,13,11,9,8,8,, 2026-03,Healthcare clinic,15,14,13,12,11,11,11,,, 2026-03,Hospitality,27,24,21,18,16,14,12,,, 2026-03,Retail,22,19,16,13,11,10,9,,, 2026-04,Healthcare clinic,12,11,10,9,9,9,,,, 2026-04,Hospitality,30,26,23,20,17,15,,,, 2026-04,Retail,24,20,17,14,12,11,,,, 2026-05,Healthcare clinic,12,11,10,9,9,,,,, 2026-05,Hospitality,30,26,23,20,17,,,,, 2026-05,Retail,19,16,13,11,10,,,,, 2026-06,Healthcare clinic,14,13,12,11,,,,,, 2026-06,Hospitality,29,26,22,19,,,,,, 2026-06,Retail,15,13,11,9,,,,,,
signups_by_month.csv9 rows · Download
month,trial_signups,new_paying_accounts
2026-01,312,44
2026-02,298,41
2026-03,341,47
2026-04,356,49
2026-05,330,46
2026-06,372,52
…
q3_new_business.md10 lines · Download
# Q3 2026 new business (from the CRO)

New ARR in Q3: $412,000 across 61 new accounts.

Largest deals:
- Harbour Hotels Group (hospitality, 34 sites): $96,000 ARR. Closed after we built a custom integration with their payroll system (9 engineer-weeks). Not available to other customers.
- Pinewood Leisure (hospitality, 18 sites): $61,000 ARR. Closed after a custom export to their HR platform (6 engineer-weeks).
…
What a strong answer doesThe answer key the graders mark against

Says Relay has fit in one segment, not across the board. The survey is 31% 'very disappointed' overall (126 of 412), below the 40% bar, but 54% among healthcare clinics (64 of 118) against 20% in hospitality and 17% in retail. Clinic cohorts' logo retention flattens at about 71% from month 4, while hospitality and retail keep falling (around 35% and 29% by month 9), so the behavioural evidence agrees. August's tripling of trial sign-ups (1,140 against about 350) came from the Product Hunt launch and barely moved new paying accounts (55 against about 50), so it isn't evidence of fit. The two biggest Q3 deals (38% of new ARR) were won with custom engineering, which is services revenue, not fit, and the 14 groups asking for the same are a warning, not a pipeline. Recommends against tripling sales across all segments: scale only where retention flattens (clinics), with sales hires focused there, stop custom integrations, and work on what clinics value (on-call swaps, credential checks) while learning why hospitality and retail don't stick. Sets a test or threshold for revisiting.

Critical failures (cap the score at 40)
  • Recommends tripling sales across every segment as the CEO proposed
Task

Mid-level · v1.0

The outputs

8 setups answered this brief.

GPT-6 AstraChatGPT93Usable with a quick editSonnet 5.5API91Usable with a quick editOpus 5.5Claude84Usable with a quick editGPT-6 LunaAPI80Needs more workHaiku 5.5API77Needs more workGPT-6.1 SolAPI75Needs more workGemini 3.8 FlashAPI68Usable with a quick editGemini 3.5 Flash-LiteGemini63Needs more work
Gemini 3.8 FlashAPI

Usable with a quick edit7 of 13 checks passed

The memo is well-structured and actionable; a quick edit to remove the unsupported Product Hunt claim would make it usable without re-checking evidence or redoing reasoning.

Output

MEMORANDUM

TO: Dana Kowalski, CEO FROM: Head of Product DATE: October 1, 2026 SUBJECT: Product-Market Fit Assessment & Q4 Strategy (Pre-Leadership Meeting)

---

Executive Summary

We should not triple the sales team next quarter.

Tripling sales right now is based on a false premise: that Relay has broad product-market fit (PMF). The data reveals a stark split: 1. We do not have PMF in Hospitality or Retail. Our retention in these segments is a leaky bucket (bleeding to sub-35% by Month 9), our PMF score is ~18–20%, and our headline Q3 ARR was artificially inflated by bespoke engineering contracts disguised as SaaS subscriptions. 2. We have exceptional PMF in Healthcare Clinics. 54.2% of healthcare respondents would be “very disappointed” without Relay, and clinic cohort retention flattens cleanly at 70–75% by Month 4 with near-zero subsequent churn.

Pouring sales headcount into our current broad GTM will accelerate burn, drown engineering in bespoke one-offs, and inflate churned logos. Instead, we must focus our GTM and product roadmap squarely on Healthcare while productizing integrations before expanding sales capacity.

---

1. Do We Have Product-Market Fit? (And For Whom?)

Looking at aggregate numbers masks two completely different businesses:

SegmentShare of SurveySean Ellis PMF Score (% “Very Disappointed”)Month 9 Logo RetentionFlattened Retention Curve?
:---:---:---:---:---
Healthcare Clinics28.6% (118)54.2% (64 / 118)72.2%Yes (Months 4–5)
Hospitality34.2% (141)19.9% (28 / 141)34.8%No (continuous bleed)
Retail26.0% (107)16.8% (18 / 107)28.6%No (continuous bleed)
Other11.2% (46)32.6% (15 / 46)N/AN/A
Total / Average100% (412)30.3% (125 / 412)~42%No

Note: The industry benchmark for PMF (Sean Ellis survey) is 40%+ "very disappointed". Relay overall sits at 30.3%.

#### Healthcare Clinics: Clear, Defensible PMF * Retention Curve: Cohorts from late 2025 through early 2026 consistently flatten at Month 4 at 70–75% retention. From Month 4 to Month 9, churn drops to zero. This is textbook SaaS PMF. * Acute, High-Value Pain: Survey qualitative data shows clinics do not buy Relay as a generic rota app. They depend on mission-critical features: credential checks before shifts, automated on-call swaps that follow clinic rules, and fast sick-call coverage. Switching away creates medical compliance and operational risk.

#### Hospitality & Retail: The Leaky Bucket * Retention Failure: Cohorts drop steadily every single month. By Month 9, Hospitality retains just 35% of accounts, and Retail retains only 29%. Neither curve shows signs of flattening. * Low Moat & High Substitutability: Feedback centers on generic benefits ("easier than paper," "nice app," "staff like it"). In these segments, Relay is a commoditized scheduling tool facing brutal churn against entrenched competitors.

---

2. The Danger in the Q3 Numbers

Dana, the Q3 commercial results look impressive on the surface ($412k ARR added across 61 deals), but the underlying mechanics are dangerous:

  1. The Custom Development Trap: $157k ARR (38% of all Q3 new ARR) came from just two hospitality deals (Harbour Hotels and Pinewood Leisure). Closing them cost 15 engineer-weeks of bespoke integrations that cannot be reused.
  2. Consulting Disguised as SaaS: We now have 14 hospitality groups in the pipeline demanding Harbour’s payroll integration. If we triple sales, reps will sell these deals, turning our product team into a bespoke professional services shop.
  3. Low Conversion at High Volume: In August, trial signups jumped 3.2x to 1,140 (from 356 in April), but paying account additions barely moved (from 49 to 55). Conversion cratered from ~14% to 4.8%. Flooding top-of-funnel without targeted positioning wastes acquisition spend.

---

3. What We Should Do Next Quarter

Instead of tripling the sales team across all segments, we should execute a targeted four-point plan:

#### A. Reposition GTM Exclusively Around Healthcare * Stop outbound into generic retail and hospitality. Reallocate all inbound marketing and outbound SDR capacity toward outpatient clinics, specialist practices, and urgent care networks. * Position Relay as Clinical Workforce Management: Rework marketing collateral around compliance, credential verification, and automated clinical swap rules, where we have demonstrated pricing power and retention.

#### B. Controlled Sales Expansion (Hire 2–3 Healthcare Specialists, Not 3x Reps) * Do not hire 10–15 generalist reps. Add 2 to 3 Account Executives with health-tech / clinical SaaS backgrounds dedicated exclusively to medical clinics. * Establish segment-specific quota and qualification criteria that filter out low-retention, high-churn retail accounts.

#### C. Product: Harden the Healthcare Moat & Build Standard API Infrastructure * Healthcare workflow investment: Deepen clinical credential management, rules engines for shift swapping, and automated compliance logging. * Freeze one-off custom enterprise integrations: Refuse custom, single-tenant engineering work for hospitality deals. Assign 1–2 engineers to build a standardized Payroll/HR export API. If enterprise hospitality prospects cannot use standard integrations, we disqualify them until the platform is ready.

#### D. Ringfence Existing High-ARR Hospitality Accounts * Protect the $157k ARR from Harbour and Pinewood by assigning dedicated customer success coverage, but set clear boundaries against scope creep.

---

Conclusion

Tripling sales today will scale our churn, exacerbate custom engineering bottlenecks, and mask our true strengths. By focusing our sales and product efforts entirely on Healthcare Clinics, where product-market fit is proven, we can build a durable, high-margin, high-retention SaaS business.

I look forward to discussing this in detail on Thursday.

Claims the judge couldn’t find in the brief

  • August's tripling of trial sign-ups came from the Product Hunt launch.

Grades and run details

Decision model 69 · LLM judge 64
Decision model checks
  • failUses the supplied evidence correctly22%
  • passAddresses the actual decision36%
  • passRespects explicit constraints28%
  • failIdentifies material uncertainty74%
  • partialAvoids unsupported claims29%
  • passProduces the required deliverable76%
  • passFinds the segment the product fits99%
  • passDiscounts the sign-up spike100%
  • passJudges fit by retention, not sign-ups85%
  • failGets the base of every number right16%
  • passFinds who it's a must-have for100%
  • passSpots false fit99%
  • partialDoesn't scale before fit63%
Run
Run
#1
API response time
52 s
Submitted
6 Oct 2026
Sonnet 5.5API

Usable with a quick edit11 of 13 checks passed

The memo is data-driven, well-structured, and directly answers the CEO's question with a clear call and actionable next steps. A product manager could use it with minor wording tweaks and no re-checking of evidence.

Output

To: Dana Kowalski From: Head of Product Re: Product-market fit and next quarter's plan

Bottom line

We have product-market fit in one segment, healthcare clinics, and not yet anywhere else. Tripling sales across the board would mostly buy more hospitality and retail accounts that churn. I recommend a targeted healthcare push plus fixes to the rest, not a general tripling.

Do we have PMF?

The standard test is whether at least 40% of users would be "very disappointed" to lose the product. Across all 412 survey responses, 30.6% (126) said so, which is below the bar. By segment:

SegmentResponsesVery disappointed6-month logo retention*
Healthcare clinic11854%71%
Other5032%not tracked
Hospitality14020%47%
Retail10417%40%

*Cohorts Oct 2025 to Mar 2026.

The retention curves tell the same story:

  • Healthcare drops to about 77% by month 3, then goes flat. Most cohorts hold their numbers from month 4 on (e.g., Oct-25 sits at 13 of 18 for six straight months). A curve that flattens is what PMF looks like.
  • Hospitality and retail never flatten. The Oct-25 cohorts are at 35% and 29% by month 9 and still falling.

The reasons people give differ too. Healthcare users name specific, hard-to-replace workflows: on-call swaps that follow their rules, credential checks, fast sick-call cover, and "rota done in an hour, not a day". Hospitality and retail answers are mostly generic: "Nice app", "Staff like it", "Fine for now", "Not sure yet". Eight of 28 "very disappointed" hospitality respondents said "Not sure yet". Healthcare's strong scores also aren't just long-tenured survivors, because they appear at one to three months of use as well as at 12 to 14.

"Other" (32%, n=50) is a mixed bag. Six of its 16 "very disappointed" answers are "Fine for now", so I wouldn't read it as a second wedge.

Why tripling sales is the wrong move

  1. We're feeding the wrong segments. Healthcare is our best segment but our smallest and shrinking source of new accounts: 18 a month in the Oct/Nov-25 cohorts, 12–14 in the last four. Hospitality has grown from 23 to about 30. More sales capacity without direction amplifies that mix.
  2. Q3 revenue is less repeatable than it looks. Two hospitality deals, Harbour ($96k) and Pinewood ($61k), are 38% of the $412k new ARR. Both closed only after 15 engineer-weeks of custom work. The other 59 deals average about $4.3k, and none of the big deals came from healthcare, our proven segment.
  3. Top-of-funnel growth isn't accelerating. New paying accounts have been flat at 41–55 a month all year. August trials spiked to 1,140, but only 55 converted (4.8% versus about 14% normally). That spike looks like low-intent traffic, not demand. I don't yet know what caused it.

What to do next quarter

  1. Healthcare push (the "as well as"). Fund a dedicated healthcare sales pod of 2–3 reps from the tripling budget, with marketing aimed at clinics of 50–500 staff. Release further hiring only if healthcare new accounts reach about 20 a month and month-3 retention on the new cohorts stays at 75% or better.
  2. Healthcare product depth. Put the roadmap behind what healthcare users already value: rules-aware on-call swaps, credential checks and sick-call cover.
  3. Hospitality and retail: diagnose before scaling. Hold their headcount and spend flat. Product and CS should run about 20 churned-account interviews and look for a sub-segment that sticks, such as multi-site groups with payroll needs.
  4. The 14 hospitality groups asking for "the Harbour integration". This could be a second wedge, but it's untested. Freeze bespoke builds. Qualify the 14 and build one generic payroll/HR integration only if at least five commit with pricing. I also want to see whether Harbour-type accounts retain before we bet on them.
  5. Understand August. Marketing should tell us the source of the 1,140 trials and why they didn't convert.

What the data can't tell us, and where it looks wrong

  • Survey bias. Only 37% of admins responded (412 of 1,120), and churned accounts weren't surveyed. That likely flatters hospitality and retail. Healthcare may be over-represented among responders.
  • Cohort file doesn't match signups. Cohort starting counts run 10–20 per month higher than new paying accounts in signupsbymonth (e.g., 60 versus 44 in January). Several cohorts are also identical row for row (Oct-25 and Nov-25 healthcare and hospitality, for example). Before Thursday I'd like Finance to confirm against raw billing data. I'd expect the direction to hold, since it matches the survey, but I wouldn't quote exact retention figures externally yet.
  • Q3 account counts don't match. The CRO reports 61 new accounts for Q3; signups shows 152 new paying accounts (50+55+47). This is probably sales-led versus self-serve, but it needs confirming.
  • We lack revenue retention and any retention data for "Other".

Ask for Thursday

Agree that the claim is "PMF in healthcare clinics", not "PMF". Approve the healthcare pod and the gated hiring plan instead of tripling. Pause bespoke integrations pending the qualification in point 4.

Grades and run details

Decision model 81 · LLM judge 100
Decision model checks
  • failUses the supplied evidence correctly43%
  • passAddresses the actual decision99%
  • passRespects explicit constraints39%
  • passIdentifies material uncertainty99%
  • partialAvoids unsupported claims24%
  • passProduces the required deliverable79%
  • passFinds the segment the product fits94%
  • passDiscounts the sign-up spike100%
  • passJudges fit by retention, not sign-ups75%
  • failGets the base of every number right42%
  • passFinds who it's a must-have for100%
  • passSpots false fit95%
  • passDoesn't scale before fit98%
Run
Run
#1
API response time
1.8 min
Submitted
5 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 5

Uses the supplied evidence correctlyWrongMixed
Gemini 3.8 Flash · API

The memo states the August sign-up spike 'came from the Product Hunt launch', which is not in the supplied context and is an invented fact about the current situation.

Sonnet 5.5 · API

All factual claims about the current situation are drawn directly from the supplied data or arithmetic on it, with no invented facts.

Addresses the actual decisionMixedRight
Gemini 3.8 Flash · API

The memo does not say what result or condition would change the call against tripling sales; it commits to a plan but omits the threshold for revisiting the decision.

Sonnet 5.5 · API

The memo commits early to 'PMF in healthcare clinics, not yet anywhere else', recommends against tripling sales, and sets a condition (healthcare new accounts reach ~20/month with 75%+ month-3 retention) to widen hiring.

Identifies material uncertaintyWrongRight
Gemini 3.8 Flash · API

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

Sonnet 5.5 · API

It names specific unknowns (survey bias, cohort vs signup mismatch, Q3 account count discrepancy, missing revenue retention, August spike source) and says how to resolve them (Finance confirmation, marketing investigation).

Avoids unsupported claimsWrongRight
Gemini 3.8 Flash · API

The Product Hunt launch is presented as an established cause of the sign-up spike, but the evidence only shows the spike without explaining its origin.

Sonnet 5.5 · API

Interpretations like the August spike being 'low-intent traffic' are presented as hypotheses, not established fact, and the memo avoids overclaiming.

Doesn't scale before fitWrongRight
Gemini 3.8 Flash · API

The recommendation scales sales only in healthcare but does not set the evidence (e.g., retention flattening in other segments) that would justify widening later.

Sonnet 5.5 · API

It recommends scaling only in healthcare, with gated hiring, and sets the evidence (20 new accounts/month, 75%+ month-3 retention) that would justify widening to other segments.

All mixed 1

Gets the base of every number rightMixedMixed
Gemini 3.8 Flash · API

All derived percentages (54.2%, 34.8%, 28.6%, 30.3%, 38%, conversion rates) check out against the supplied data.

Sonnet 5.5 · API

All percentages and rates (30.6%, 54%, 71%, 47%, 40%, 38%, $4.3k, 4.8%) are computed correctly from the supplied data, and bases are stated where needed.

All got right 7

Respects explicit constraintsRightRight
Gemini 3.8 Flash · API

The memo is addressed to the CEO, is under 900 words, and is in the requested memo format.

Sonnet 5.5 · API

The output is a memo to the CEO, under 900 words, and the proposed actions (gated hiring, freeze bespoke builds) would enforce the constraints in practice.

Produces the required deliverableRightRight
Gemini 3.8 Flash · API

The memo is complete, in the right form for the CEO, within the word limit, and actionable with light edits.

Sonnet 5.5 · API

The memo is complete, in the right form for the CEO, within the word limit, and actionable with light edits.

Finds the segment the product fitsRightRight
Gemini 3.8 Flash · API

The memo breaks down survey and retention by segment, finds clinics at 54% very disappointed with flattening retention, and notes the blended 31% hides this.

Sonnet 5.5 · API

It breaks the survey down by segment (54% very disappointed in healthcare vs 20% and 17%) and uses retention curves to show healthcare flattens while others don't, correctly identifying clinics as the fit segment.

Discounts the sign-up spikeRightRight
Gemini 3.8 Flash · API

The memo compares August trial sign-ups with new paying accounts, notes the conversion drop, and treats the spike as not evidence of fit.

Sonnet 5.5 · API

It notes the August trial spike (1,140) barely moved new paying accounts (55) and treats it as a launch effect, not evidence of fit.

Judges fit by retention, not sign-upsRightRight
Gemini 3.8 Flash · API

The call on PMF rests on whether retention curves flatten by segment, with the survey as supporting evidence.

Sonnet 5.5 · API

The PMF call rests on whether retention curves flatten by segment, with the survey as supporting evidence, not on sign-ups or revenue alone.

Finds who it's a must-have forRightRight
Gemini 3.8 Flash · API

The memo names healthcare clinics as the must-have segment, profiles their valued features, and builds the plan around them.

Sonnet 5.5 · API

It profiles healthcare clinics as the must-have segment, naming the specific workflows they value, and builds the plan around them.

Spots false fitRightRight
Gemini 3.8 Flash · API

The memo identifies the custom-integration deals, the pipeline of copycat requests, and the sign-up spike as false signals of fit and explains why.

Sonnet 5.5 · API

It identifies the two large custom-work hospitality deals, the August spike, and the 14 groups asking for the same integration as false signals of fit, explaining why each is not real PMF.

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 AstraChatGPT90.5100.02None
2Sonnet 5.5API77.990.02None
3Opus 5.5Claude79.782.92None
4Haiku 5.5API77.986.02None
5GPT-6.1 SolAPI90.575.72None
6GPT-6 LunaAPI92.772.42None
7Gemini 3.8 FlashAPI65.062.12None
8Gemini 3.5 Flash-LiteGemini65.151.92None

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 96, 118× the cheapestSonnet 5.5 · API: task score 85, 81× the cheapestOpus 5.5 · Claude: task score 82, 118× the cheapestHaiku 5.5 · API: task score 81, 6.1× the cheapestGPT-6.1 Sol · API: task score 80, 25× the cheapestGPT-6 Luna · API: task score 79, the cheapestGemini 3.8 Flash · API: task score 63, 16× the cheapestGemini 3.5 Flash-Lite · Gemini: task score 56, 2.8× the cheapestGPT-6 Astra · ChatGPTSonnet 5.5 · APIOpus 5.5 · ClaudeHaiku 5.5 · APIGPT-6.1 Sol · APIGPT-6 Luna · 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