Explore skills

Frame the value of an AI feature in terms of user outcomes and business impact, not model capabilities. Use this skill when a team needs to articulate why an AI feature is worth building and what success looks like.

Design and run a structured evaluation of an AI prototype to assess quality, user experience, and readiness for development. Use this skill when an AI feature prototype needs to be evaluated before committing to full development.

Develop a structured business case for a product investment including ROI, costs, risks, and expected outcomes. Use this skill when a team needs to justify a product investment to leadership or stakeholders.

Model customer lifetime value (LTV) and customer acquisition cost (CAC) to assess unit economics and growth sustainability. Use this skill when a team needs to understand whether the business model is economically sustainable.

Build a launch readiness checklist that covers all cross-functional dependencies before a product or feature goes live. Use this skill to ensure no critical launch step is missed.

Build and compare forecasting scenarios to support product and business planning decisions. Use this skill when a team needs to project outcomes under different assumptions.

Analyze churn patterns, identify root causes, and design retention intervention strategies. Use this skill when a team needs to understand why customers are leaving and how to stop it.

Design a retention playbook with interventions for at-risk accounts, expansion opportunities, and churn prevention tactics. Use this skill when a CS team needs structured plays for proactively improving retention.

Design and operate a Voice of Customer program that surfaces systematic insights from customers. Use this skill when a team needs a structured system for collecting and acting on customer feedback.

Audit whether a product experiment was designed and run in a way that makes the result trustworthy. Use this skill when the user wants to check for issues such as peeking, invalid stopping logic, traffic imbalance, contamination, or other threats to validity.

Structure a product dashboard that supports consistent, fast decision-making. Use this skill when a team needs to design or improve a product metrics dashboard.

Design a metric alerting system with thresholds, alert logic, and escalation paths so teams can detect performance issues before they become serious. Use this skill when a product needs proactive monitoring rather than reactive discovery.