Choose what to get done
Purpose-strategy alignment check
A validated purpose-alignment document answering all five diagnostic questions with boolean verdicts, producing a pass count, an overall result (core vs peripheral), and the lowest-scoring dimension.
Rank product features with a collaborative weighted scorecard
A product team prioritizing a roadmap gets each feature's weighted value, cost normalized to the most expensive feature, absolute value, and a deterministic rank, computed exactly per the CWS formula.
Rank the 19 traction channels into Bullseye A/B/C rings
I get all 19 traction channels sorted into Bullseye rings, each with a written rationale, and a disciplined inner ring, so I concentrate my first traction experiments instead of chasing every channel at once.
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.
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.
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.
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.
Score an AI idea's business feasibility on 1-4 scales
A founder comparing AI product ideas gets a defensible 1-4 score on each business-feasibility dimension and an average, derived from concrete inputs (SOM, usage cadence, validation %, scalability), so ideas can be ranked on a like-for-like basis.
Score and rank candidate pricing metrics on the six-criteria rubric
I get a filled scorecard where every candidate metric is rated 1-5 on all six criteria with a weighted total and a clear rank order, so I can pick the key pricing variable defensibly.