sharaf/product-experience-audit
Use when the user wants to audit a user journey, audit a signup/onboarding/checkout flow, do a UX audit, find the friction in a funnel, understand why users are dropping off or where they are being lost, or improve conversion in a web app — any diagnostic review of a multi-step, in-product flow. Use it whenever the user mentions drop-off, funnels, session replay, heatmaps, activation, time-to-value, cart or checkout abandonment, onboarding friction, or rage clicks, or wants to know where users struggle and what to fix first, even if they don't say "audit." Produces a severity-ranked, prioritized, experiment-validated improvement backlog via evidence-first intake, five parallel specialist lenses, and synthesis.
94
100%
Does it follow best practices?
Impact
72%
1.26xAverage score across 3 eval scenarios
Passed
No known issues
task.mdevals/scenario-2/
Checkout Funnel Audit
Problem / Feature Description
ShelfMate is an online home goods retailer that has been experiencing flat revenue despite steadily growing site traffic. The growth team suspects the checkout process is leaking customers, but the team is not sure where to focus engineering and design effort first. Marketing has already been ruled out as the primary cause — traffic quality is healthy across all acquisition channels.
The analytics team pulled 30-day data from GA4. Here is what they have:
Funnel volumes (10,000 cart sessions / month):
| Step | Conversion Rate | Sessions Entering |
|---|---|---|
| Cart → Shipping Information | 78% | 10,000 |
| Shipping Information → Payment | 64% | 7,800 |
| Payment → Review Order | 39% | 4,992 |
| Review Order → Confirmation | 91% | 1,947 |
Overall checkout conversion rate: 22% (approximately 1,771 orders per month from 10,000 cart sessions)
Device breakdown — Payment → Review step only:
- Mobile: 28% conversion (mobile accounts for 52% of all cart sessions)
- Desktop: 51% conversion
Acquisition source — overall checkout conversion:
- Organic search: 41%
- Paid media: 19%
- Direct: 28%
New vs. returning visitors — overall checkout conversion:
- New visitors: 18%
- Returning visitors: 31%
Behavioral signal (Hotjar heatmap, mobile, last 30 days): A heatmap on the payment page shows a concentrated cluster of rage clicks around the payment card input field on mobile devices. No session replays have been reviewed — only this heatmap screenshot is available.
There is no access to the live application or source code repository.
Output Specification
Produce a file called audit_report.md containing:
- An analysis of where users drop out of the checkout funnel and the scale of each drop
- A clear prioritization of which step represents the greatest opportunity for improvement, with your reasoning shown
- Specific, actionable recommendations for each significant drop-off point, including how each recommendation would be validated
- A prioritized backlog table summarizing the top action items for the engineering and design teams
- Any caveats about the data or evidence that affect how confidently recommendations can be made