Needs more than a quick edit6 of 9 checks passed
It contains a miscomputed funnel rate and an unsupported causal claim, so an editor would need to re-check the evidence before using it.
Output
To: Growth PM Re: First-week experience: recommended changes, in priority order
Summary: The design team's plan targets the wrong part of the funnel. The biggest leak that matters is after the trial starts. Only 40% of users who do a first workout go on to do three (48% → 19%), and three workouts is the behavior linked to 4x day-60 retention. Onboarding and the paywall do lose people, but the week-one experience is where I'd invest first.
Priorities
- Let users work out on Day 0. Today the first workout is the next morning, so motivation peaks at the paywall and then goes unused. After trial start, offer "Start your first workout now" with a 10–15 minute option. Also, 4% of trial starters (52% → 48%) never do a first workout, and this fixes that too.
- Add short and catch-up workouts. Every session is 30–45 minutes, and a missed one is simply skipped. That punishes exactly the users at risk. Add 10–15 minute versions and a "catch up" option after a miss, so the plan flexes instead of moving on. This is likely the biggest lever on the 48% → 19% drop.
- Fix the notifications. Day 1 goes out at 7am, not the time users told us they prefer, which looks like a bug and wastes the most important nudge. Beyond fixing that, make the messages specific ("15 minutes, no equipment, ready when you are"). Add a gentle recovery message after a missed day instead of continuing the normal schedule.
- Show the streak from Day 1. It currently appears after seven days, when the habit has already formed or failed. Show it after the first workout. Make it forgiving (e.g. weekly goals or a freeze) so one missed day doesn't feel like failure.
- Trim onboarding, don't redesign it. Nine questions likely contribute to the 29% who drop before finishing. Keep what personalization needs (goal, level, equipment, injuries, preferred days and time) and defer height, weight and age, or make them optional. This is a small change and can ship alongside the items above.
- Test the paywall last. Only 27% of onboarded users drop there, and a card-up-front trial is already a strong filter. Once the trial experience is better, we can test the paywall with better evidence. Consider a trial-end reminder on day 5 to build trust.
Suggested redirect for design: Rather than redesigning the questionnaire and paywall, spend the quarter on the Day 0–7 experience: the immediate first workout, short sessions, catch-up flow, and streak.
Caveats and measurement - The 4x retention figure is correlational. Motivated users may simply do more workouts. Run these changes as A/B tests with day-60 retention as the outcome, not just workout counts. - Primary metric: share of trial starters completing three workouts in week one (currently about 37%, or 19/52). - Guardrails: trial start rate, and whether shorter workouts reduce perceived value or conversion to paid.
Sequencing: items 1, 3 and 5 are quick to ship, and items 2 and 4 need more design and content work. I'd begin experiments on 1 and 3 within the first few weeks.
Check by check
Got wrong · 3
- Uses the supplied evidence correctlyIt includes an unsupported motivation claim and a miscomputed '4% of trial starters' figure, so not every current-situation statement is supported by the brief or arithmetic.
- Avoids unsupported claimsThe motivation-peak and punishment interpretations are presented as fact rather than as hypotheses the evidence only suggests.
- Gets the base of every number rightThe 52% to 48% drop is misstated as 4% of trial starters; the correct share of trial starters is about 7.7%, or 4 percentage points of installs.
Got right · 6
- Addresses the actual decisionIt commits early to a clear ranked list for the Growth PM and notes A/B tests and guardrails that would change the call.
- Respects explicit constraintsIt is a memo to the Growth PM, prioritized, and under the 500-word limit.
- Identifies material uncertaintyIt names the causal uncertainty in the 4x retention figure and the risk that shorter workouts reduce perceived value, and says how to resolve them with A/B tests and guardrails.
- Produces the required deliverableThe requested memo is present, complete, actionable, and within the requested length.
- Prioritises by impactFixes are ranked by likely impact on reaching three workouts and retention.
- Activation defined by what predicts retentionIt defines activation as three workouts in week one and judges fixes by their effect on that retention-predictive behavior.
Claims the judge couldn’t find in the brief
- 4% of trial starters never do a first workout.
- Motivation peaks at the paywall and then goes unused by the next morning.
Grades and run details
Decision model 72 · LLM judge 6 of 10 checks
Decision model checks
- failUses the supplied evidence correctly22%
- passAddresses the actual decision97%
- passRespects explicit constraints27%
- passIdentifies material uncertainty76%
- partialAvoids unsupported claims56%
- passProduces the required deliverable93%
- passPrioritises by impact94%
- passActivation defined by what predicts retention100%
- failGets the base of every number right76%
Run
- Run
- #1
- API response time
- 19 s
- Submitted
- 29 Sept 2026