Friction Point Diagnosis Sprint (Delivery)

Friction Point Diagnosis Sprint (Delivery)

1. 01

   Define the conversion goal and success metric for the client's primary funnel.

   Align with the client on a single primary action, such as a form submission or product purchase, and set a baseline conversion rate from the last 90 days of analytics data.

2. 02

   Deploy session replay and heatmap tracking across the key pages of that funnel.

   Use tools like Mouseflow or Lucky Orange to capture 100% of sessions on high-traffic pages, ensuring consent banners and privacy settings comply with regional regulations.

3. 03

   Collect qualitative feedback from real users via on-page surveys or exit-intent polls.

   Ask 3 to 5 targeted questions about perceived friction, missing information, or trust concerns, and aim for at least 50 responses per page to reach statistical relevance.

4. 04

   Analyze replays and heatmaps to identify drop-off points and rage clicks.

   Look for patterns like repeated clicks on non-interactive elements, rapid mouse movements, or form fields that trigger error messages, and tag the top 10 friction incidents for review.

5. 05

   Cross-reference behavioral data with funnel analytics to quantify the impact of each friction point.

   Calculate the percentage of users who abandon at each step and estimate the potential conversion lift if that friction were removed, prioritizing fixes with the highest projected ROI.

6. 06

   Present a prioritized friction report to the client with recommended UX changes.

   Include before-and-after mockups or wireframes for the top 3 fixes, and propose an A/B test plan using a platform like VWO or Optimizely to validate each change.

7. 07

   Implement the agreed changes and set up a 30-day measurement window.

   Track conversion rate, average session duration, and user satisfaction scores, and schedule a follow-up review to decide whether to roll out, iterate, or revert each change.