Usable with a quick edit9 of 11 checks passed
The review is data-driven, clearly structured, and makes a strong, actionable recommendation. A PM could use it with minor wording tweaks and no need to re-verify evidence or reasoning.
Output
Onboarding review for Omar
Recommendation
We are measuring setup, not activation. Completing a checklist of preferences does not establish that someone has experienced Tidepool’s value: seeing where their money goes and taking control of it.
Redesign onboarding around that first useful financial insight. Treat the celebration screen and progress bar as supporting elements—not the main fix—and replace next quarter’s checklist-completion goal.
What activation should mean
Use “connected a bank and categorised at least 10 transactions within the first week” as our provisional activation definition.
This combines access to real financial data with an action that helps users understand their spending. It is a stronger approximation of delivered value than naming an account or picking a theme.
The threshold of 10 is a starting hypothesis, not a proven magic number. We should validate whether users actually gain an insight at this point and whether a different threshold or milestone—such as reviewing a spending summary—better predicts durable use. Creating a budget may become a subsequent milestone, but the current evidence does not support making it mandatory for initial activation.
What the evidence says
Among August’s 4,000 sign-ups, overall day-60 retention was 28%.
| First-week behaviour | Users | Day-60 retention |
|---|---|---|
| --- | ---: | ---: |
| Completed setup checklist | 2,438 | 30.4% |
| Connected a bank | 2,000 | 48.2% |
| Categorised 10+ transactions | 1,380 | 64.6% |
| Connected a bank and categorised 10+ | 1,080 | 78.0% |
| Created a budget | 1,230 | 33.3% |
| Opened the app on 4+ days | 2,180 | 39.9% |
The strongest signal is the combined bank-and-categorisation milestone: 27% of sign-ups reached it, and those users accounted for 842 of our 1,120 retained users. Retention among everyone else was approximately 9.5%.
Checklist completion, by contrast, is associated with retention only slightly above the cohort average. Raising it could improve the reported activation rate without improving users’ outcomes.
These are observational, overlapping groups. Motivated users may both complete meaningful actions and remain active; the data does not prove that pushing everyone through those actions will cause retention. Nor can we infer exact step-by-step drop-off from these aggregates. The CSV also differs slightly from the funnel summary on checklist and categorisation counts; reconcile reporting before setting the baseline.
What to change in onboarding
- Lead with the value proposition, then bank connection. Explain what users will get from connecting, how their data is handled, and what happens next. Instrument connection starts, failures, abandonment and successful imports; address reliability and trust barriers.
- Replace the upfront preference checklist with a guided first-value journey. Move theme selection and account naming out of the critical path. Ask for notification permission when there is a clear benefit. Keep savings goals optional or introduce them after users understand their finances.
- Guide users through real transactions. Provide sensible category suggestions, easy corrections and a short review flow. Then show a useful spending summary—not merely confirmation that ten items were completed.
- Offer budgeting as the next step. Help users turn their spending insight into a realistic budget, without making budget creation another prerequisite that delays first value.
Measure the full journey and test changes against the existing experience, including first-week milestone attainment and day-60 retention.
Design proposal and next quarter’s goal
A progress bar is worth testing if it tracks meaningful value steps, not cosmetic setup tasks. A celebration screen belongs after the first useful insight, should be brief, and should not interrupt it. Neither proposal addresses the core problem on its own.
Replace “raise checklist completion from 61% to 75%” with “increase first-week bank-plus-10-transaction activation.” A provisional target of 27% to 35% is reasonable to plan against, subject to baseline reconciliation and experiment sizing—not a forecast supported by this dataset.
Success must also include improved day-60 retention, with bank-connection reliability, privacy complaints and abandonment monitored as guardrails. Keep checklist completion as a diagnostic metric, not the team’s definition of success.
Grades and run details
Decision model 82 · LLM judge 100
Decision model checks
- failUses the supplied evidence correctly86%
- passAddresses the actual decision79%
- passRespects explicit constraints38%
- passIdentifies material uncertainty80%
- passAvoids unsupported claims47%
- passProduces the required deliverable43%
- passComputes retention by behaviour26%
- passTests before trusting the correlation73%
- passActivation defined by what predicts retention100%
- failGets the base of every number right68%
- passGets people to value sooner75%
Run
- Run
- #1
- API response time
- 26 s
- Submitted
- 6 Oct 2026