KOLLIED
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Experiments

Experiment design with pre-committed kill-criteria, result vs target judged by the engine, and learning routed to build / Go-Kill. The cycle's third subjective-input channel lives here: dialogue-refine (turn the step in conversation).

Venture Guide: DifferenZ β€” Triage the idea and confirm a founder match before it promotes to the feed.

Design the experiment

T2

Set hypothesis, success metric, cost, clock and the pre-committed kill-criteria.

Dogfood-demo: Clearly-labelled dogfood demo: the 6 companies (MyStdy Β· Servicely Β· DifferenZ Β· Exponic Β· Digna Β· Kollied) are companies Espen holds a stake in, used ONLY as demo data to exercise the engines β€” never as proof that venture building works. Every demo row is flagged dogfood and held out of every client-facing aggregate (DEL 98-3).

Experiment design β€” pre-committed kill criterion

Hypothesis Β· success metric Β· cost Β· clock Β· kill criterion set BEFORE the result (not post-rationalised).

Onboarding < 1 day β†’ activation
target: β‰₯ 40% activation in 30 days Β· kill criterion (pre-committed): < 25% activation in 30 days β†’ kill
Paid pilot on a cold list
target: β‰₯ 3 paid pilots in 45 days Β· kill criterion (pre-committed): 0 paid pilots in 45 days β†’ kill (pre-committed)
Price elasticity, high segment
target: β‰₯ 20% acceptance at +25% price Β· kill criterion (pre-committed): < 10% acceptance β†’ drop segment

Results β€” judged via the engine

Result vs target β†’ verdict + route. Only a miss that meets the kill criterion flips the hypothesis.

Onboarding < 1 day β†’ activationmet β†’ build
result: 44% activation Β· result cleared the pre-committed kill-criteria β†’ met; route to build
Paid pilot on a cold listmissed β†’ kill Β· hypothesis invalidated
result: 0 paid pilots Β· result met the PRE-COMMITTED kill-criteria β†’ missed; route to kill (flips the linked hypothesis to invalidated)
Price elasticity, high segmentinconclusive β†’ iterate
result: no reading Β· no decisive result observed β€” inconclusive; iterate the experiment

Learning β†’ routing

Capture the learning and route to build / Go-Kill.

Fast onboarding drives activation β€” build on it.
Cold list does not convert β€” the kill criterion triggered; hypothesis invalidated.
No decisive reading yet β€” iterate.
Proposed
Set hypothesis, success metric, cost, clock and the pre-committed kill-criteria.
Live commit Β· connected store
TALK TO THE PROGRAM β€” about this sub-step