SuperAPI AI Directory

pm-assumption-mapping

Testing & quality

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Updated 10-16 00:04

About this skill

Assumption Mapping & Hypothesis Testing

Frameworks for identifying, prioritizing, and testing product assumptions.

Riskiest Assumption Test (RAT)

## Assumption Map

### Desirability (Will they want it?)
| Assumption | Evidence For | Evidence Against | Risk Level |
|------------|--------------|------------------|------------|
| [Users want X] | [data] | [data] | High/Med/Low |

### Viability (Will it work for the business?)
| Assumption | Evidence For | Evidence Against | Risk Level |
|------------|--------------|------------------|------------|
| [Users will pay $X] | [data] | [data] | High/Med/Low |

Feasibility (Can we build it?)

Assumption Evidence For Evidence Against Risk Level
[We can integrate with X] [data] [data] High/Med/Low

Riskiest Assumption to Test Next

Assumption: [The one with highest risk + least evidence] Test: [Cheapest way to validate/invalidate] Success Criteria: [Specific threshold] Timeline: [Days/weeks]


## Product Hypothesis Format

```markdown
## Hypothesis: [Short name]

**We believe that** [building this feature/making this change]
**For** [target user segment]
**Will result in** [expected outcome/behavior change]
**We will know we're right when** [measurable success criteria]

### Riskiest Assumption
[The assumption that if wrong, invalidates the hypothesis]

### Minimum Test
[Cheapest/fastest way to validate]
- Type: [Prototype/Fake door/Concierge/etc]
- Duration: [X days/weeks]
- Sample size: [N users]

### Decision Criteria
- **Ship if:** [specific threshold met]
- **Iterate if:** [mixed signals, specify]
- **Kill if:** [specific threshold not met]

Test Types by Assumption

Assumption Type Test Method Timeline
Desirability Fake door, landing page Days
Usability Prototype testing Days
Value Concierge MVP Weeks
Feasibility Technical spike Days
Viability Pre-sales, LOIs Weeks

Assumption Prioritization

Priority = Risk Level × Impact if Wrong × Cost to Test (inverse)

Test assumptions that are:

  1. High risk (least evidence)
  2. High impact (invalidates entire concept)
  3. Low cost to test (quick experiments)