Product Analytics Guides
This collection contains repeatable workflows for answering product questions with observable behavior and targeted feedback. It covers session replay review, AI-assisted analysis, survey design, evidence quality, UX research, and prioritization.
Each guide is designed to be useful before signup: define the question, gather the right evidence, understand its limits, and choose a bounded next action.
- <h2 class="post-card__title">How to Audit Demo Request Funnels With Session Replay</h2>
A repeatable way to audit demo-request journeys without reducing analysis to pageview drop-offs.
- <h2 class="post-card__title">How to Turn Feedback Into Conversion Experiments</h2>
A framework for translating qualitative feedback into testable hypotheses and experiment briefs.
- <h2 class="post-card__title">How to Diagnose Rage Clicks on Demo Request Pages</h2>
A hands-on playbook for spotting rage clicks, validating them with context, and prioritizing the real fix.
- <h2 class="post-card__title">Targeted User Feedback: Trigger In-Product Surveys by Behavior</h2>
Collect targeted user feedback with survey triggers based on page, event, timing, and user attributes so responses explain a real product decision.
- <h2 class="post-card__title">How to Conduct a Heuristic Analysis That Finds Real UX Issues</h2>
A practical heuristic analysis guide for product teams that need a faster UX audit, clearer severity ratings, and a better fix backlog.
- <h2 class="post-card__title">Why 5 Users Find 85% of Usability Problems (Nielsen Norman's Rule Explained)</h2>
Nielsen Norman Group research shows 5 users surface 85% of usability problems on a single flow. Here is when that 5-user rule works — and when you need more.
- <h2 class="post-card__title">UX Survey Questions by Product Decision and Trigger</h2>
Use targeted UX survey questions by trigger, decision, and product moment, with examples that avoid leading or noisy feedback.
