Supabase

Find every user who signed up in the last 14 days but hasn't completed onboarding — segment them by referral source, calculate their expected LTV from plan data, and draft a personalized re-engagement email for each segment.

Run a data quality audit on our users table — find every row with a missing email, invalid phone format, or blank company field, group them by severity, and draft a one-page summary of what needs fixing and why.

Identify every account that's been on a free plan for more than 30 days and has hit more than 80% of its usage limit — rank them by usage growth rate and draft a personalized upgrade pitch for the top 20.

Spot fraud patterns in our signups from the last 7 days — flag any account with rapid consecutive signups from the same IP, mismatched billing country, or zero onboarding events, and draft a review queue with recommended actions.

Build a churn risk report from our subscriptions and event tables — find every paying account with declining engagement over the last 30 days, score each by risk level, and draft a save-offer email for the top 15.

Reconcile our billing records — cross-check every row in the subscriptions table against payment events, flag any account showing as active with no successful payment in the last 35 days, and list the discrepancies.

Analyze our feature adoption funnel — for every user who completed signup in the last 60 days, trace how many reached each key activation milestone, find where the biggest drop-offs are, and draft a recommendation.

Find every B2B account where the primary user hasn't logged in for 14+ days but colleagues on the same team have — identify the disengaged stakeholder, and draft a personalized re-engagement note in my voice.

Generate a weekly product health report from our events table — pull DAU, WAU, MAU, top 5 features used, and error rate trends; draft the one-pager I can share with the team on Monday morning.

Audit our deleted accounts from the last quarter — find every churned record, cross-reference with their last support ticket and final usage event, identify the most common exit patterns, and draft a win-back sequence.