Guided first-run onboarding for new studio seats
Replace empty dashboards with a 3-step, role-seeded starter story + persistent checklist. Target: +15% week-one activation.E-03E-04
Five stages, in the order they ran: what Juno planned to find out, what it retrieved, what it concluded, what it checked before showing you anything, and only then the recommendation itself.
- Identify customer evidence
1 customer interviews retrieved and read.
- Review support trends
No support tickets matched this theme.
- Review sales feedback
2 deal notes checked for revenue exposure.
- Review engineering feasibility
No engineering estimate on file; technical risk is scored from comparable work.
- Compare against strategic goals
Activation is a stated quarterly goal.
- Name what is still unknown
2 gaps recorded with an owner and a discovery question.
- Check for conflicting stakeholder input
No stakeholder disagreement found in the retrieved artifacts.
- E-032 artifacts
Empty first-run dashboards drive new-user drop-off inside the first session.
- E-041 artifact
Meridian's $180k expansion is contingent on activation improvements.
- E-121 artifact
3 SMB accounts ($85k ARR) are on churn watch, all citing onboarding difficulty.
$180k expansion plus $85k of churn-watch ARR, neither contractually committed.
Every new seat hits the same empty first-run state.
Activation is a stated quarterly goal.
- The empty state may be a symptom of information architecture rather than the root cause, so a checklist could underdeliver.
- Activation lift is self-reported by the customer until the funnel is instrumented.
- Empty-state is the primary driver, not information architecture.
Ranks second on the strongest customer signal and the lowest technical risk, with smaller but real revenue exposure on both expansion and churn.
New seats hit empty first-run dashboards and disengage. Meridian's $180k expansion depends on activation lift; 3 SMB accounts are on churn watch for the same reason.
Ranks second: strongest customer signal and lowest technical risk, but revenue exposure is smaller than SSO.
Recommendation quality
How well supported this recommendation is, measured against the evidence Juno could actually retrieve.
2 of 6 enterprise source types contributed at least one artifact.
Customer Interview, Sales Note
Retrieved stakeholders agree on the problem statement.
Whether every section of the brief could be filled from retrieved evidence.
No recommendation advances to the roadmap without an explicit decision.
Findings resting on one artifact are held at lower strength rather than stated with certainty.
Supporting evidence
Evidence strength reflects how many independent artifacts support this recommendation and how varied they are, not how certain the model sounds.
| Finding | Artifact | Severity | Corroboration |
|---|---|---|---|
E-03Inference Empty first-run dashboards drive new-user drop-off inside the first session. | Customer Interview Interview: Maya, Product Ops (Series B studio) | High severity | High confidence 2 artifacts |
| Finding | Artifact | Severity | Corroboration |
|---|---|---|---|
E-04Fact Meridian's $180k expansion is contingent on activation improvements. | Sales Note Sales note: Meridian expansion | Med severity | Med confidence 1 artifact |
E-12Fact 3 SMB accounts ($85k ARR) are on churn watch, all citing onboarding difficulty. | Sales Note Sales note: 3 SMB churn risks cite onboarding | Med severity | Med confidence 1 artifact |
Transparent scoring model
Risks
- The empty state may be a symptom of information architecture rather than the root cause, so a checklist could underdeliver.
- Activation lift is self-reported by the customer until the funnel is instrumented.
Additional discovery recommended
Juno names what it does not know, who can answer it, and how to ask, so limited confidence turns into a discovery step rather than a dead end.
Why it matters: Without it there is no baseline to prove a 15% activation lift, so the bet cannot be evaluated after it ships.
Why it matters: Role targeting is the difference between a generic checklist and a relevant first run.
- Which 3 roles should get tailored starter stories in v1?
- Do we tie the checklist to a target activation metric?
Recommended next step
Instrument first-session activation funnel
Hypothesis: ≥60% of new seats abandon before completing a starter task.
Juno proposes this step because it would close the largest gap listed above. You decide whether to run it.
Decision required. Juno recommends, you decide, and nothing reaches the roadmap without you.
Final prioritization decisions remain the responsibility of the Product Manager.