AI Skills

Build a pass/fail eval rubric and test set from real failure traces

Map AI bets, human-AI boundaries, and flywheels for product strategy decisions

Cluster NPS, support, interviews, and churn data into actionable themes

Define how the brand sounds so every writer stays on-voice.

Plan what to publish, when, and why before writing.

Turn analytics into narratives stakeholders act on, with hook and structure

Write survey questions that force prioritization and give actionable signal

Find qualified leads from Luma events by topic and location

Design KPI dashboards with metric selection, layout, and real-time alerts

Measure PMF with Sean Ellis, retention curves, and reference customers

Script your offer negotiation: success conditions first, then the salary ask.

10-minute pipeline review instead of 2-hour meeting. Every deal scored, risks flagged.

Draft positioning using April Dunford's method and Andy Raskin's narrative

Model SaaS pricing tiers, value metrics, and price change strategies.

Design pricing tiers, run WTP analysis, and build a packaging matrix

Sort the backlog by conviction and impact, defend the cut list with frameworks

Assess product-market fit, size markets, and frame competitive positioning

Build SEO page templates and data models that scale to hundreds of pages

Design QBR programs, executive decks, and strategic account plans.

Create renewal playbooks, forecast pipelines, and plan upsell motions.

Run pipeline review, forecast accuracy, and GTM efficiency analysis

Design sales comp that rewards bookings, retention, and expansion.

Cut scope to fit a fixed time appetite using Shape Up, MVP, and Wizard of Oz

Find the queries worth ranking for and rank them by priority.

Build SOC 2 control matrix and gap analysis for first-time audits.

Walk SOC 2 Trust Services Criteria controls with audit-ready evidence.

Build 3-5 year financial models with revenue, costs, runway, and scenarios

Define CAC, LTV, burn multiple, and stage-appropriate metrics for any startup

Weighted forecast with best/likely/worst scenarios. Defend the number with data, not guesses.