Choose what to get done
Recommend a skim, penetration, or neutral launch-pricing strategy
I get a defensible launch-pricing call (skim, penetration, or neutral) that follows from an explicit read of the decision factors, so the strategy is not a guess.
Reference-check call script and scorecard
A structured reference-check script with a confidentiality preamble, probing questions, and a numeric endorsement scorecard.
Release readiness gate checklist
Categorized, criterion-bearing release gates with a consistent blocking verdict, marrying governance with automation instead of a change-board bottleneck.
Requirements traceability matrix
A matrix linking every requirement to its tests (and back), with computed orphans and a coverage percentage that clears your bar.
Revenue Zone Matrix prospect classification grid
I get a structured grid that plots each of my prospects on demand (awareness/interest/demand) and trust (know/like/trust) and derives which of the three zones they sit in, with no prospect left unplaced.
Route a Founder Task to the Right Claude Surface
The founder gets a pure routing function that takes a task's structured attributes and returns the correct Claude surface, applying the book's surface-selection logic deterministically across any list of tasks.
SaaS magic number
Your SaaS magic number (annualized new revenue over prior-quarter sales-and-marketing spend) with an efficiency band telling you whether to scale acquisition.
Sales discount-authority matrix
I get a discounting matrix where each role's max discount climbs with seniority, no role can approve beyond the list-price padding, and term-authority is recorded per level so reps must escalate larger asks.
Score a content piece on the STEPPS virality framework
The buyer gets a complete STEPPS scorecard: all six factors (social currency, triggers, emotion, public, practical value, stories) rated as whole numbers on the agreed scale, each with a written rationale that clears a minimum word count, plus a total_score that equals the sum of the six scores.
Score a set of OKRs (0.0-1.0) and run the six classic-trap litmus checks
You get your OKR set scored on the 0.0-1.0 scale (each objective = the average of its key-result completion rates), each objective color-banded on the Google red/yellow/green scale, and a structural pass/fail against the six classic OKR-writing traps.
Score a term sheet's economic terms clause-by-clause
A structured JSON scorecard that classifies every required economic clause of the term sheet onto a three-tier favorability scale and computes a weighted founder-friendliness index.
Score AI model process and tool maturity into bands
A team assessing whether an AI model is mature enough to sell as a service gets a process-maturity band and a tool/system-maturity band computed directly from per-phase level scores, ready to feed the AIaaS feasibility decision.