Replay UX Audit

replay-ux-audit

Audit a user flow by analyzing multiple session replays to find UX friction.

When to Use

• Investigating conversion drop-offs
• New feature UX review
• Pre-launch usability check
• Understanding user confusion

Input

Flow to audit: (e.g., "Checkout flow") Number of replays: 10-20 recommended Filter criteria: Cohort or user segment

Analysis Steps

Step 1: Sample Replays

Get 10-20 diverse replays:

• Mix of successful and failed attempts
• Different platforms if relevant
• Recent sessions (past 7 days)

Step 2: Watch and Tag

For each replay, tag:

• Confusion: User hesitates, backtracks
• Errors: Form errors, failed actions
• Friction: Slow steps, repeated attempts
• Success: Smooth completion

Step 3: Synthesize Patterns

Identify:

• Most common friction points
• Error frequency and types
• Time spent per step
• Abandonment triggers

Output Format

UX Audit: [Flow Name]

Sample: [N] replays analyzed

Friction Map (Ranked by Frequency)

1. [Step/Element]

   • Issue: [Description]
   • Frequency: [X/N replays]
   • Impact: [High/Medium/Low]
   • Example: [Session ID]
   • Fix: [Specific recommendation]

2. [Step/Element] [Same structure]

Error Patterns

• [Error type]: Seen in [X%] of replays
• [Error type]: Seen in [X%] of replays

Time Analysis

• Average time to complete: [X seconds]
• Longest step: [Step name] ([X seconds])

Quick Wins

1. [High impact, low effort fix]
2. [High impact, low effort fix]

Prioritized Recommendations

• [p0] [Critical fix with evidence]
• [p1] [Important improvement]
• [p2] [Nice-to-have enhancement]

Best Practices

• Watch both successful and failed sessions
• Note exact timestamps for friction points
• Link to specific replay examples
• Quantify frequency (not just anecdotes)
• Make recommendations specific and actionable