AI-native product management skills that move at the speed your team needs. Traditional PM frameworks were built for a world without AI, multi-week discovery sprints, day-long planning offsites, months of analysis before a decision.
@mrthamesDeep dive into product analytics — investigate a question, surface insights, build a data narrative. Use when you need to go…
@mrthamesEvaluate whether to build in-house, buy a vendor solution, or partner. Use when facing a make-or-buy decision for a capability.
@mrthamesBuild a complete business case for a product investment — strategic rationale, financial model, risk assessment, and…
@mrthamesAssess and respond to a competitor move within 24-48 hours. Use when a competitor launches, changes pricing, or makes a strategic…
@mrthamesRun a compressed 5-day product discovery cycle. Use when validating whether a problem is worth solving before committing…
@mrthamesDefine an epic with strategic context, feature breakdown, milestones, and success metrics. Use when scoping a large body of work…
@mrthamesDesign and run lean experiments — hypothesis, cheapest test, success criteria, decision. Use when you need to validate before you…
@mrthamesWrite a detailed feature spec with requirements, edge cases, and technical constraints. Use when a feature needs formal…
@mrthamesPlan and communicate a feature or product end-of-life. Use when deprecating features, sunsetting products, or managing migration…
@mrthamesRun ROI, IRR, NPV, payback period, and cost-benefit analysis for product investments. Use when you need to quantify the financial…
@mrthamesBuild a go-to-market plan for a launch — messaging, channels, enablement, timeline. Use when you're shipping something that needs…
@mrthamesDiagnose churn, retention, or growth problems with data. Use when metrics are declining and you need to find the root cause, not…
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