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Churn funnel

As explained in Natural Language Processing in Action, Second Edition

A churn funnel is a stepwise representation of a user journey that shows where users disengage or drop out.

A churn funnel maps a user journey as ordered steps and shows how many users drop off at each step. It turns disengagement into a measurable experience problem: compare lesson progress, completion, timing, and abandonment to find where users stop. section 12.7.3

For a tutor bot, track a separate funnel for each lesson. A funnel can reveal whether students continue through the intended curriculum or stop after frustration or boredom. Investigating the conversations behind each drop-off helps designers improve the experience rather than treating churn as a single aggregate number. section 12.7.3

Lesson progression in a Sankey diagram

A Sankey diagram can show students moving from lesson 1 to lesson 2 and onward, while making skipped lessons and exits visible. Interactive diagrams can let analysts open the conversations associated with a drop-off. section 12.7.3

Figure 12.7 Sankey diagram of lesson funnels
figure

Use the Sankey figure to inspect lesson paths, continuation, skipping, and abandonment as flows. section 12.7.3

How Natural Language Processing in Action, Second Edition covers it

How deep it goes
Defines funnel measurement, applies it to lessons, and extends analysis to conversation-level causes through interactive Sankey diagrams.
Examples
Uses tutor-bot lessons, curriculum progression, skipped lessons, abandonment, and Sankey-based conversation inspection.
What you can do after
Diagnose churn by locating lesson drop-offs and examining the conversations that produce them.
How it connects
Connects task success, user experience measurement, engagement, Sankey diagrams, and chatbot analytics.

This explainer was generated by Manning's knowledge graph from the text of Natural Language Processing in Action, Second Edition. The section links point to the parts of the book it draws on.