Searchable AI prompt library
Structured instructions for completing individual tasks with an AI tool. Filter by outcome, category, tool, difficulty or keyword.
Open a Prompt to copy its instructions, run supported Prompts privately in Workplace, or prepare a task for Codex where available. Copying text does not run the Prompt.
Outcome: Analyze. Turn datasets, spreadsheets, experiments, and metrics into traceable findings and decisions. Clear Outcome
Reconcile multi-currency revenue from source transactions through recognition, exchange-rate conversion, payments, settlements, fees, taxes, journals, and ledger reporting while preserving timing, policy, and currency differences.
Turn disputed metrics into testable, versioned semantic contracts with explicit grain, time logic, lineage, access controls, ownership, and change governance.
Diagnose sample ratio mismatch from expected allocation through assignment, exposure, telemetry, identity, and analysis before trusting experiment results.
Diagnose cohort retention with stable definitions, mature observation windows, identity and censoring checks, change decomposition, causal discipline, and testable interventions.
Design and run an evidence-grounded RAG evaluation that separates corpus, retrieval, context, generation, citation, and abstention failures and establishes reproducible regression gates.
Audit a Google Tag Manager conversion-tracking implementation for missing or duplicate events, broken triggers and parameters, consent errors, platform discrepancies, and unsafe release changes.
Investigate unexpected GA4 attribution shifts, isolate their likely causes, and produce evidence-based verification checks, findings, and corrective actions.
Audit a business KPI dashboard for ambiguous metric definitions, unreliable data sources, stale logic, conflicting reports, ownership gaps, and decision risk.
Review spreadsheet models for formula errors, assumption risks, hardcoded values, hidden logic, version issues, missing checks, and decision readiness.
Prepare month-end close evidence, reconciliation checks, variance explanations, owner actions, approval gates, and reporting risk notes.
Design or audit product analytics event taxonomy, tracking rules, properties, funnels, QA checks, ownership, and reporting risks.
Review enterprise data access permissions, identify excessive access, sensitive data exposure, stale users, owner gaps, cleanup actions, approval gates, and recertification needs.
