Blog

"VS Mode": The Power of Comparative Analytics

How comparing two segments (e.g., 'Invited Users' vs 'Organic Signups') reveals friction points that aggregates hide.

How to visualize if your product changes are actually speeding up onboarding. Comparing "January Cohort" vs "February Cohort" TTV curves.

How to clean up data streams (ignoring retries, loops, and errors) to see the 'Logical' path a user took to value.

Humans are bad at guessing user paths. Why algorithmic journey detection finds the 'real' paths (including the messy ones).

General tools are great for event counting, but calculating 'Time Between Event A and Event B per User Distribution' is a SQL nightmare.

Sometimes you need friction which increases TTV but improves retention. How to balance speed vs. quality.

For creative tools (Notion, Figma), TTV relies on the user creating content. Strategies to measure 'time to creation'.

A technical look at a common analytics problem: how to calculate TTV when 50% of your cohort hasn't finished onboarding yet.

Critiques the 'Dashboard Fatigue'. Why a dashboard without highlighted insights is dead weight.

A template for a PM. Sprint 1: Measure. Sprint 2: Identify Draft. Sprint 3: Ship Fix. Sprint 4: Verify.

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