Reading Session Recordings the Right Way

How to extract patterns from individual user videos that shift your CRO priorities.

You'll know which recordings are worth your attention and which you can safely ignore.

• You'll recognize typical behavioral patterns in session recordings.
• You'll define clear requirements for your team to run efficient recording analyses.

A single video shows you one user, not your target audience.

• Without filters and pattern recognition, you end up with anecdotes instead of insights.
• Session recordings only become valuable when you search with purpose.

Priority one: users who came close to purchasing but dropped off.

• Priority two: users with high engagement but no conversion.
• Priority three: users from underperforming segments, such as mobile or specific traffic sources.

Multiple users open the product detail page, scroll briefly, and bounce back.

• The pattern: they can't find the information they need fast enough.
• The hypothesis: the most important product information is too far down the page or unclear.

Rage clicks and dead clicks: the user expects a response but doesn't get one.

• Back-and-forth scrolling: the user is looking for something and can't find it.
• Quick drop-off: the page doesn't meet the user's expectation.
• Repeated form entries: there's a validation or comprehension issue.

A recording shows a user clicking a button repeatedly with no response.

• First assumption: the button is broken.
• After reviewing more recordings, it turns out only mobile users with a slow connection experience the problem.

Don't deliver individual videos. Deliver aggregated patterns with frequency data.

• Link every pattern to a page, a segment, and a hypothesis.
• Quantify the pattern: how many users show it, and what revenue potential is at stake?

Develop a short template for your team: what information should be delivered for every pattern they find?

• At minimum: pattern description, affected page, segment, frequency, estimated potential, and hypothesis.
• Test the template against a real or suspected pattern in your shop.

Recordings show behavior, but not the motivation behind it.

• Recordings can't prove which variant performs better.
• For root causes and evidence, you'll need additional methods: surveys, tests, and interviews.

Recordings reveal that users scroll back and forth multiple times between the address input and the payment selection.

• The scrollmap confirms it: an important form field is hidden behind the keyboard on mobile.
• The test moves the field higher up and reduces checkout abandonment.

Fact: Individual videos are observations, not evidence.

• A problem is only systematic when multiple users show the same pattern.
• Never allocate budget based on a single recording alone.

Clarity doesn't capture every user. Depending on your traffic, it only records a share of sessions.

• For rare events, you may find only a handful of recordings available.
• Always check the total population before treating a pattern as representative.

Step one: Describe the pattern. What are we seeing repeatedly?

• Step two: Hypothesize a cause. Why is it happening?
• Step three: Define a solution. What could fix it?
• Step four: Design a test. How do we prove it?

You define which pages and segments get analyzed.

• You assess whether a pattern is economically significant enough to warrant a test.
• You decide when a pattern is sufficiently documented to commit budget.

Session recordings deliver value when they're filtered and aggregated with purpose.

• Common patterns: rage clicks, back-and-forth scrolling, quick drop-offs, and form issues.
• Individual videos are observations. Only patterns justify running tests.

Ask your team for aggregated patterns, not individual videos.

• Have every pattern documented with page, segment, frequency, and potential.
• Always connect qualitative patterns to a planned test.

The next module covers heatmaps and scrollmaps - how to derive decisions from aggregated click and scroll data.

Test your knowledge.

Next module: Heatmaps and scroll maps as a basis for decisions