Diagnose a sudden drop in meeting follow-through for developer API portal

Problem Statement Description

You are the product manager for a developer API portal used by family accounts to set up, manage, or troubleshoot API-enabled services. A key downstream behavior, “meeting follow-through,” has suddenly dropped for the family segment. This could include users not attending scheduled onboarding/support meetings, not completing required pre-meeting steps, or not taking the expected action after a meeting.

Your task is to diagnose the drop before proposing fixes. Treat this as a hard root-cause analysis: clarify what changed, validate whether the anomaly is real, identify where in the workflow the decline occurs, and separate product, operational, data, and external causes.

Assume the workflow may involve portal login, API app/project selection, eligibility checks, meeting scheduling, calendar/email reminders, pre-meeting documentation, attendance, and post-meeting completion. Families may have additional constraints around multiple household members, permissions, time zones, accessibility, privacy, and trust.

The experience should consider:

- The exact definition of “meeting follow-through,” including numerator, denominator, time window, and whether it measures attendance, completion, or post-meeting action.

- Segmentation by family account type, geography, device, browser, language, API product, meeting type, lifecycle stage, and acquisition channel.

- Instrumentation checks for event logging, calendar integrations, reminder delivery, attendance tracking, attribution, and recent schema or dashboard changes.

- Funnel analysis across scheduling, confirmation, reminder receipt, pre-work completion, meeting join, and post-meeting task completion.

- Recent changes in the portal, authentication, permissions, notification systems, API documentation, support operations, or meeting vendor integrations.

- Hypotheses that distinguish user behavior changes from system failures, operational capacity issues, policy changes, seasonality, or external calendar/email deliverability problems.

- Evidence needed to prioritize causes, including logs, cohort comparisons, support tickets, failed API calls, user session traces, and qualitative feedback.

- Short-term containment, long-term prevention, and monitoring needed once the cause is confirmed.

The goal is to structure a rigorous RCA that would help the team confidently identify the source of the sudden drop, understand its user and business impact, and determine what evidence is required before moving into fixes.