incomplete-onboarding-assessor

Identify incomplete onboardings by querying chat history and classifying engagement temperature. The tool computes original and current temperatures using decay rules, generating a prioritized markdown action plan for targeted re-engagement.

Engagement temperature decay applies time-based rules to downgrade user temperature from HOT or WARM to COLD. It evaluates chat history within a configurable days window, calculating current temperature to reflect diminishing user interest over time.

Generate an onboarding analytics report by running the assessment script, which retrieves chat history and computes engagement temperatures. It outputs a markdown file containing per-user details and a priority action list saved to the docs directory.

You can configure the time window for evaluating incomplete onboardings by setting the days parameter. The default window is 30 days, which balances recency of user engagement signals with completeness of the analytics reporting.

Classify incomplete onboardings by retrieving chat history and applying time-decay rules to engagement signals. The assessment script computes original and current temperatures, segmenting users into WARM, HOT, or COLD categories for prioritized re-engagement planning.

The incomplete onboarding assessment runs as a standalone script with no external dependencies. It queries onboardings directly, retrieves chat history, computes temperature decay, and saves the markdown report locally to the docs folder.