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Onboarding Audit
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Onboarding Audit

Find the exact step where users disconnect before they churn.

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Maps every onboarding step against time-to-aha, identifies the specific moment where users mentally disconnect, and prescribes the exact fix for each break point — specific enough to implement without a follow-up conversation.

Works withClaudeChatGPT

Identifies aha moment before fixing anything else · Every fix includes a success metric

Early churn almost never happens because the product is bad. It happens because the user couldn't connect what they saw in the trial to what they needed in their specific situation — and nobody helped them make that connection at the right moment. The aha moment is not a feature — it's the moment a user connects your product's capability to their specific problem. Everything in onboarding should be designed to reach that moment as fast as possible. Every step that doesn't move toward that moment is a step that increases the probability they never come back. Paste this prompt into Claude or ChatGPT. Share your onboarding flow and any drop-off data you have. The AI maps every step against the aha moment, finds where users disconnect, and writes specific fixes — each with a success metric.

  1. Click "Copy prompt" above and paste it into Claude or ChatGPT to start the session.
  2. Share your full onboarding flow in sequence — every step from signup to first meaningful action. Include the aha moment if you know it, drop-off data if available, and support ticket themes from new users in their first 7 days.
  3. If you don't know your aha moment, start there — the AI will help you identify it from your retention data and product flow.
  4. You'll receive a flow map table showing every step, its purpose, whether it moves toward or delays the aha moment, and a Keep / Cut / Move / Rewrite verdict.
  5. The top 5 fixes are ranked by impact — each includes the specific problem, why it causes churn, the exact change to make, and what metric would confirm it worked.
  6. Use "find my aha moment" mode if you're not sure what the aha moment is — that's the diagnosis that determines everything else.
From an audit of a B2B analytics tool onboarding (11 steps, 34% 7-day activation):

THE AHA MOMENT: Running their first automated report (confirmed by retention data — users who do this in week 1 retain at 78% vs. 21% for those who don't)

CURRENT TIME-TO-AHA: 4.2 days average
TARGET TIME-TO-AHA: Under 24 hours

FLOW MAP (excerpt):
| Step | Time Required | Gets Closer to Aha? | Verdict |
|------|--------------|---------------------|---------|
| Connect data source | 8 min | Yes | Keep |
| Set up team members | 15 min | No | Move to later |
| Configure notifications | 12 min | No | Cut (make optional) |
| Run first report | 3 min | Yes — this is it | Keep, move to step 2 |

FIX 1 — Remove mandatory team setup before first report
Problem: Team setup is step 3, first report is step 7. Users hit a friction wall before they've seen value.
Fix: Move "run your first report" to step 2 immediately after data connection. Make team setup optional, surfaced after first report completes.
Success signal: Time-to-first-report drops below 15 minutes; 7-day activation rate increases 15+ points.

Install this skill in Claude

Claude (web or desktop)

Copy the skill and paste it into a new chat, or save it as project instructions so every conversation in that project starts with it loaded.

Claude Code

Save the skill as a SKILL.md file in your .claude/skills folder. Claude Code picks it up automatically and activates it when the task matches.

ChatGPT or Gemini

The same skill text works as a custom instruction or Gem. Paste it at the start of a chat, no changes needed.

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