Choose what to get done
Account-overlap matrix with a partner
A 3x3 overlap matrix showing how many accounts intersect across each funnel-stage pairing with a partner, with totals and the biggest cell flagged.
AIaaS Productization Decision Register
A founder deciding which of their internal AI models to package and sell as AIaaS gets a defensible, rule-derived register that says Go / Go-with-notes / Stop per model and names the single best candidate to commercialize.
Alert rule register (with runbook links)
A deduplicated alert rule set where every paging alert links a runbook, cutting alert fatigue and giving on-call an immediate response path.
Assess a Foothold Against the Four-Element Nonconsumption Pattern
A structured foothold-fit assessment that records, for each of Christensen's four elements of the nonconsumption pattern, the buyer's claim, supporting evidence, and a pass/partial/fail mark, with an aggregate fit verdict computed by rule.
Assess Startup Lifecycle Stage Exit Readiness
The founder gets a structured readiness assessment that scores their startup against the named exit criteria for their current stage (Idea/MVP/Launch/Scale), surfacing which gates are met with evidence and which are blocking, so the stage-transition decision is reasoned rather than an act of faith.
Best co-selling rep pairs with a partner
The short ranked list of your-rep-to-partner-rep pairs who share the most open accounts, so you set up the few high-yield co-selling calls.
Bias-guarded interview debrief packet
A structured debrief record that captures independent pre-discussion verdicts, a bias-check, and a consolidated recommendation.
Blameless post-incident review register
A root-cause register where each incident carries a why-chain, a stated root cause, and owned, dated corrective actions, so the same incident does not recur.
Build a Buyer Persona x Buyer Journey matrix
I get a complete buyer-persona by buyer-journey matrix where every persona and stage combination has exactly one populated cell, so no segment or stage falls through a gap.
Build a CAC and LTV by-channel comparison model
I get a CAC-and-LTV comparison across my candidate channels with a recommended channel that follows from the numbers, so the pick is grounded in unit economics rather than gut feel.
Build a customer health score from one ROI-proxy metric (banded)
You get a single-metric customer health score with traffic-light bands that are structurally sound: one chosen ROI proxy, ordered, non-overlapping, gap-free ranges that cover the whole metric domain.
Build a Disruptive-Channel Fit Register
A structured channel-fit register that scores each candidate channel on Christensen's disruptive-channel criteria and returns, by rule, a fit verdict (fueled / neutral / starved) per channel plus a recommended channel.
You are not what you make. You are the one who can make it.
Opens soon. Get early access the day it goes live.