The Rita McGrath
Framework
Transient Advantage & Discovery-Driven Planning
Rita McGrath represents one of the most distinctive thinking patterns in their field. Rita McGrath's approach, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The transient advantage & discovery-driven planning framework distils Rita McGrath's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds.
Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Rita McGrath made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Rita McGrath's distinctive patterns rather than a default model voice.
A glimpse of Rita McGrath's thinking.
Competitive advantage is not a destination to be defended indefinitely but a wave to be surfed and eventually abandoned before it crashes. McGrath's core conviction, built from studying hundreds of high-velocity markets, is that the companies which survive disruption are those that treat advantage as transient by design, not by accident. Discovery-Driven Planning operationalizes this by converting strategy from a prediction exercise into a structured learning process, where assumptions are made explicit, tested cheaply, and revised before capital is fully committed.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
What assumptions embedded in this plan, if wrong, would make the entire investment thesis collapse, and how quickly could we test each one for under $50,000?
4 more questions in Rita McGrath's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Rita McGrath actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.
Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.
- ✦Core philosophy: 2–3 sentences grounded in Rita McGrath's documented worldview
- ✦Five signature mental models: each named, with concrete examples from their work
- ✦Decision heuristics: the concrete rules they actually used
- ✦Signature questions: five questions that sound like Rita McGrath, not a generic MBA
- ✦What they would NOT do: the anti-patterns this framework rejects
- ✦Copy-paste activation prompt: drop straight into Claude or ChatGPT
- ✦Worked example: the framework applied to a realistic scenario
- →rita-mcgrath.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →rita-mcgrath-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Treat this as a purchase of information, not a bet on a client. A large, difficult client looks like a revenue decision, but what you are really deciding is which assumptions you are willing to pay to test. Most founders in this spot are quietly assuming three things: that the client's size will fund growth, that the difficulty is a one-time onboarding cost, and that your team can absorb the demands without starving everyone else. Any of those being wrong turns a big win into a slow bleed, and you will not find out which until you are fully committed.
My position: take the client, but only on terms that let you falsify those assumptions cheaply. Offer a scoped first phase, ninety days or one defined deliverable, with a price that covers the true cost of the extra attention, not a discounted rate for the privilege of the logo. If they resist a structure that protects you, you have learned the most important thing about them before spending a dollar of capacity.
Also decide your exit trigger now, in writing, while you are still calm. Pick a measurable line, such as this client consuming more than thirty percent of delivery hours or margin falling below a set floor, and name who is authorized to walk away when it trips.
Next move: this week, list the five assumptions behind saying yes, rank them by how badly being wrong would hurt, and design the phase-one contract to test the top two.
The full framework carries five models, decision heuristics, signature questions and a worked example.
Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.
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Works as a Claude Skill (.zip) and as a plain .md for ChatGPT, Gemini & every LLM
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Inspired by the documented thinking of Rita McGrath. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.