Production-grade prompt library
Not prompt ideas. Detailed instructions that turn your real inputs into work you can review, use, and improve.
Prompt library
Data storytelling
Use real source material to original data story from a spreadsheet or product export, with a defined deliverable, evidence controls, and practitioner-level decision rules.
Executive reporting
Use real source material to board-ready marketing performance narrative from raw metrics, with a defined deliverable, evidence controls, and practitioner-level decision rules.
Experiment analysis
Use real source material to experiment decision from campaign test results, with a defined deliverable, evidence controls, and practitioner-level decision rules.
Marketing analytics
Audit an attribution dataset before leaders use it, reconcile identity and date-window mismatches, expose double counting, and produce a decision-safe attribution view.
Marketing analytics
Trace volume, conversion, time-in-stage, and disqualification patterns across segments to identify the one or two constraints slowing pipeline creation.
Marketing analytics
Build a scenario forecast from historical conversion, current coverage, sales capacity, campaign plans, and explicit assumptions.
Marketing analytics
Convert inconsistent dashboard labels and stakeholder definitions into governed metric formulas, owners, source systems, refresh rules, and validation tests.
Marketing analytics
Analyze account and user cohorts by acquisition source, segment, onboarding behavior, activation milestone, retention, and expansion signal.
Marketing analytics
Measure sourced, influenced, accelerated, and engaged pipeline from event attendance, account activity, opportunities, and follow-up data.
Marketing analytics
Recommend where to add, hold, reduce, or stop spend using incremental economics, lead quality, saturation, sales capacity, and strategic coverage.
Marketing and revenue analytics
Assess incremental campaign lift from imperfect observational data while separating measured association from causal evidence and designing the next stronger test
Marketing and revenue analytics
Reconcile marketing attribution for finance and revenue leadership by explaining why systems disagree and establishing a shared decision framework
Marketing and revenue analytics
Triage a dashboard anomaly and produce a root-cause investigation plan that distinguishes real business change from pipeline, definition, tracking, and display failures
Marketing and revenue analytics
Audit pipeline-source integrity from raw CRM history and reconstruct defensible source classifications without overwriting historical truth
Marketing and revenue analytics
Analyze content influence without last-touch distortion, distinguishing audience use, deal context, distribution, and plausible contribution
Marketing and revenue analytics
Detect paid creative fatigue and decide when to hold, refresh, rotate, retire, or reallocate without confusing audience saturation with tracking or auction changes
Marketing and revenue analytics
Assess geographic expansion signals from demand and revenue evidence while accounting for selection, serviceability, regulation, localization, and market-entry cost
Marketing and revenue analytics
Diagnose MQL-to-revenue conversion by cohort and segment, locating where quality, routing, capacity, process, timing, or measurement breaks the path
Marketing and revenue analytics
Analyze marketing team capacity and throughput to identify demand, flow, skill, dependency, and rework constraints without turning productivity into activity counting
Marketing and revenue analytics
Evaluate AI marketing tool usage, cost, and realized value across workflows while separating adoption, output volume, labor displacement, quality, risk, and business impact
