How did Premise's contributor retention rate fall below 50% for new sign-ups in Q2 compared to previous quarters?

Introduction

Premise's contributor retention rate falling below 50% for new sign-ups in Q2 is a critical issue that demands immediate attention. This significant drop compared to previous quarters could have far-reaching implications for the platform's growth and sustainability. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to improve retention.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has Premise historically seen fluctuations in contributor retention rates between quarters?

Why it matters: Seasonal patterns could explain the drop and inform our solution approach. Expected answer: Some seasonality, but not to this extent. Impact on approach: If seasonal, we'd focus on Q2-specific strategies; if not, we'd look deeper into recent changes.

• Considering the specificity of "new sign-ups," I'm curious about the retention rates for existing contributors. Have they remained stable, or are we seeing a platform-wide retention issue?

Why it matters: This helps isolate whether the problem is specific to onboarding or a broader retention issue. Expected answer: Existing contributor retention has remained relatively stable. Impact on approach: If only new sign-ups are affected, we'd focus on the onboarding process and early user experience.

• Given the significant drop, I'm wondering about any recent changes to the contributor experience. Have there been any updates to the app, task types, or reward structure in the lead-up to Q2?

Why it matters: Recent changes could directly impact user behavior and retention. Expected answer: A few minor updates, but nothing major. Impact on approach: If significant changes occurred, we'd investigate their impact; if not, we'd look at external factors or gradual shifts in user expectations.

• Thinking about data accuracy, has there been any change in how we measure or define retention for new sign-ups?

Why it matters: Ensures we're comparing apples to apples across quarters. Expected answer: No changes to the measurement methodology. Impact on approach: If there were changes, we'd need to recalibrate our analysis; if not, we can proceed with confidence in the data's consistency.