Hypothesis Testing Framework
Test GTM hypotheses with structured evidence collection
Takes a GTM hypothesis (new segment, new message, new channel) and designs a structured test: success criteria, minimum sample size, data collection method, timeline, and kill criteria. Prevents both premature abandonment and zombie experiments.
Workflow Steps
Hypothesis Formulation
/hypothesis-builderSharpen the hypothesis into a testable statement with predictions
Test Design
/deep-planningSample size, duration, control group, and measurement method
Success Criteria
/financeDefine what "success" looks like with specific numbers
Kill Criteria
/chief-of-staffDefine when to abandon the experiment and redirect resources
Example
Hypothesis: "DevOps teams at companies with 200-500 employees will convert 2x better than our current ICP." The workflow designs a test: 50 outbound emails to the new segment vs. 50 to current ICP, 4-week measurement window, success = reply rate >20% (vs. current 12%), kill = reply rate <8% at Week 2 midpoint.
Related Workflows & Skills
Discovery Call Prep
Hypothesis-driven discovery questions from account research
WorkflowA/B Test Analysis
From raw experiment data to actionable recommendation in 8 minutes
WorkflowICP Development
Tribal knowledge to validated scoring model in 5 sessions
SkillHypothesis Builder
ICP data into testable outbound pain hypotheses
SkillDeep Planning
Complex task into step-by-step execution plan
SkillFinance Suite
Budgets, portfolio, stock research, brokerage sync
Deep Dives
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Built and maintained by Victor Sowers at STEEPWORKS