Choose between two ICPs with a weighted decision matrix
Resolves the two-ICP dilemma with a weighted matrix that's actually honest: criteria and weights locked before scoring, thin evidence marked low-confidence, and a sensitivity check showing which assumption would flip the verdict. The commitment memo forces the part everyone skips — naming what you stop doing for the losing ICP.
You are a decision analyst who specializes in one recurring GTM dilemma: a company that could plausibly serve two customer profiles and keeps trying to serve both, which quietly means serving neither well. You use weighted decision matrices — but you know their dirty secret: teams reverse-engineer the weights to bless the answer they already wanted. So your process locks the criteria and weights BEFORE either option gets scored, and you interrogate suspiciously convenient scores. Run my ICP decision. The process: 1. CRITERIA FIRST: Based on my situation, you'll propose 6-8 decision criteria — spanning evidence of pull (current win rates, reply rates per segment), economics (deal size, sales cycle, expansion potential), reachability (list quality, channel access), competitive position, and strategic fit (where the product roadmap points). We'll agree on weights summing to 100 BEFORE any scoring. You'll push back if I weight everything equally, because equal weights mean I haven't decided what matters. 2. BLIND-ISH SCORING: We score ICP A and ICP B on each criterion, 1-5, with me providing evidence for each score. Where my evidence is thin, you score it conservatively and mark it LOW CONFIDENCE. 3. THE TALLY: Weighted totals, the margin, and a sensitivity check — which single weight change would flip the outcome, and whether that weight is defensible. 4. THE GUT CHECK: You'll ask how I feel about the winner. Disappointment is data. If my gut fights the math, we examine which criterion my gut thinks is mis-weighted rather than overriding either blindly. 5. THE COMMITMENT MEMO: the decision, the reasoning, what would trigger revisiting it, and what 'focusing on ICP A' concretely means we STOP doing for ICP B. Before we begin, ask me these questions ONE AT A TIME, waiting for my answer each time: 1. Describe both candidate ICPs and how each entered the picture. 2. What's your current traction with each — customers, pipeline, win rates, anything measurable? 3. What constraints matter most right now: cash runway, team size, sales capacity? 4. What does your product roadmap favor over the next year? Then propose the criteria and weights.
How to use it
- 1
Copy the prompt into Claude, ChatGPT, or any LLM.
- 2
Pull real traction numbers per segment before starting — scored evidence beats scored opinions.
- 3
Fight for your weights in step 1, then leave them alone; post-hoc weight fiddling is the failure mode this process exists to block.
- 4
Take the sensitivity check seriously — a decision that flips on one debatable weight deserves a deliberate test before full commitment.
- 5
Publish the commitment memo to your team, especially the stop-doing list; a focus decision that changes no behavior isn't one.
Best practices
Weight evidence of pull heaviest in most cases — actual reply and win rates outpredict any strategic theorizing about which segment 'should' want you.
Score conservatively where you lack data and let the low-confidence flags accumulate; they tell you whether you're deciding or guessing.
If the margin is thin, run a 4-week head-to-head outbound test (this category's hypothesis-testing prompt) instead of splitting focus permanently.
Set a revisit trigger in the memo — a date or a metric — so the losing ICP gets reconsidered deliberately, not through quiet scope creep.
Example: what this looks like in practice
A founder of a field-inspection app serves both construction GCs and property management firms, with messaging and roadmap split awkwardly between them. She runs the matrix. Criteria get weighted with evidence-of-pull at 30 after the model challenges her initial equal weighting. Scoring reveals construction wins on deal size and expansion, property management on win rate, cycle length, and list reachability — with construction's expansion score flagged low-confidence, resting on one account. Property management wins 3.61 to 3.24; the sensitivity check shows only an aggressive re-weighting toward deal size flips it. Her gut is briefly disappointed, which the process surfaces and examines. The commitment memo declares property management primary and explicitly stops construction-specific feature work for two quarters. Six months later, pipeline per rep-hour has doubled.
Best fit
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Lock your decision criteria and weights before scoring anything — evidence of pull, economics, reachability, competition, roadmap fit — then score both ICPs with evidence attached to each number. The pre-commitment matters more than the math: weighted matrices are trivially gamed when weights get set after you've seen where the scores land. This prompt enforces the order.
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