The free Activation Teardown shows where users get stuck. The Deep Dive connects it to your analytics data — exact drop-off percentages, revenue impact estimates, and a 20–25 page redesign roadmap your dev team can follow.
If we can't find at least 5 specific drop-off points worth fixing, you don't pay.
You've rebuilt onboarding three times. Activation hasn't moved. The problem isn't the product tour — it's the 4 other systems (email, docs, CS triggers, empty states) that aren't coordinating with it.
| Free Activation Teardown | Activation Deep Dive — $4,997 | |
|---|---|---|
| Experience walkthrough (15-min Loom) | ✓ | ✓ |
| Visual observation of friction points | ✓ | ✓ |
| 3–5 prioritized fixes | ✓ | ✓ |
| Analytics platform connection | — | ✓ |
| Quantified drop-off % at every step | — | ✓ |
| Revenue impact estimates | — | ✓ |
| User segmentation audit | — | ✓ |
| Wireframe mockups for top 3 fixes | — | ✓ |
| 20–25 page written report | — | ✓ |
| Implementation roadmap | — | ✓ |
| 60-minute walkthrough call | — | ✓ |
10-DAY DELIVERY TIMELINE
Most activation audits look at the UI and stop. They miss the real question: what's the gap between where users drop off and what the data says the drop-off is actually worth?
We sign up and go through onboarding as a new user. Screen recorded with full narration. We document every friction point, confusion moment, and missed opportunity.
We connect to your Amplitude/Mixpanel/PostHog. We reconstruct the complete activation funnel — conversion rate at every step, where volume drops, where it recovers, and where different user types diverge.
Activation funnel reconstruction — exact conversion percentages at every stepWe quantify the revenue impact of each drop-off point. If 35% of users drop at step 4, and your average contract is $10K/yr, and you get 200 signups/month — the step 4 problem is worth $840K/yr in lost activation. We do this math for every significant drop-off.
Revenue impact analysis — every major gap with a dollar estimate attachedAre different user types activating differently? Enterprise vs. self-serve? Different use cases? Different acquisition channels? We segment your activation data to find whether you have one problem or multiple segment-specific problems.
Segmentation analysis — activation rate by user type, source, and use caseFor the top 3 friction points, we design wireframe solutions — not vague recommendations. We also write the full implementation roadmap: prioritized by revenue impact vs. engineering effort, with experiment specifications for testing each fix.
20–25 page report with wireframes + implementation roadmapAnalytics showed it wasn't a UI problem — it was a prerequisite problem. Step 4 required an API connection that 50% of users didn't have credentials for yet. That single finding represented $28–32K/month in churn from non-activated users. Fix: make the API connection optional, surface contextually.
The highest-value feature — users with it had 1.8× higher retention — had zero in-app discovery path. Only 13% of users found it. The feature wasn't even in the first 7 days of onboarding. Revenue opportunity from fixing that one gap: $2.5M annually.
Three completely different user types going through identical onboarding. Enterprise users churned at 3× the rate. The problem wasn't the product — it was that onboarding never adapted to their setup requirements. Segment-specific paths were the fix.
10 days. A 20–25 page report. The exact conversion data and redesign roadmap your team needs.
This Deep Dive solves one problem. The Foundation connects it to pricing, retention, and competitive positioning — so every fix compounds.