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Phase 08 · Metrics, Growth & Iteration
Funnel Analysis
Measure drop-off at each step of a key user workflow
Web analytics / conversion optimisation tradition · 2000s

Funnel analysis tracks how many users progress from one step of a workflow to the next, revealing where and how many drop off. Each step with significant drop-off is a friction point — and the biggest drop-off is usually the highest-leverage improvement opportunity.


When users aren't completing a key workflow — onboarding, upgrade, investigation — and you need to find the specific step causing the problem.


  1. Define the funnel: the specific, ordered sequence of steps a user must complete
  2. Instrument each step to capture who completes it and when
  3. Visualise the funnel: Step 1 = 100%, then % who reach each subsequent step
  4. Identify the step with the biggest drop — this is the priority
  5. Investigate the cause: session recordings, usability testing, or user interviews
  6. Improve that specific step and measure the change

🎵 Spotify

Free-to-Premium upgrade funnel. Biggest drop: views pricing page → starts trial (60% drop). Session recordings reveal: users scroll to price, then leave to check if family members would also use it. Fix: add 'Duo' and 'Family' plan options prominently on pricing page. Conversion improves +18%.

📊 Trade Surveillance

Please contact the author for more information on these examples at linkedin.com/in/kshitijrege



Web analytics / conversion optimisation tradition 2000s


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