Prioritise work
Assumption Prioritisation
Identify which assumptions, uncertainties, or hypotheses are most important to test first. Useful for innovation, startups, strategy, and experimentation. The criteria can be changed, added to and weighted.
What the framework is
Assumption prioritisation ranks the beliefs a plan rests on, so you test the riskiest ones first instead of the easiest. The template compares assumptions on five criteria: Uncertainty, Business Impact, Testability, Urgency and Cost of Being Wrong. The criteria can be changed, added to and weighted.
What the result looks like
Overall
Overall with the criteria
| Rank | Options |
Uncertainty
20%
|
Business Impact
20%
|
Testability
20%
|
Urgency
20%
|
Cost of Being Wrong
20%
|
Overall
Weighted win rate
|
|---|---|---|---|---|---|---|---|
| 01 | Customers will pay monthly |
63%
|
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| 02 | Partners will resell it |
52%
|
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| 03 | Setup takes under an hour |
35%
|
By the options
Scoring Explanations
When it earns its place
Use it at the start of a new product, service, venture or strategy, when the plan depends on things nobody has checked yet: that customers will pay, that a partner will sign, that a process will scale.
The trap is testing what is easy to test. The assumptions worth testing first are the ones that are both uncertain and expensive to get wrong, even when they are hard to test.
How to run it with a group
- List the assumptions as statements that could be false, such as "Teams will pay monthly for this".
- Agree the weights. Uncertainty and Cost of Being Wrong usually matter most.
- Participants compare the assumptions two at a time on each criterion. Participants do not need an account to respond. Three to six options keep it manageable: with five options and five criteria, each person makes 50 comparisons.
- Read the overall ranking. Design a test for the top two or three, and run the ranking again once the results are in.