prioritize-assumptions

Name: prioritize-assumptions
Author: phuryn

1.8kinstalls2.5kforks

How to install prioritize-assumptions?

phuryn/pm-skills/prioritize-assumptions

$npx -y skills add phuryn/pm-skills --skill prioritize-assumptions

Installs into the current project.

Summary

Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each. Use when triaging a list of assumptions, deciding what to test first, or applying the assumption prioritization canvas.

Files · 1

View on GitHub

SKILL.md

1	## Prioritize Assumptions
2
3	Triage assumptions using an Impact × Risk matrix and suggest targeted experiments.
4
5	### Context
6
7	You are helping prioritize assumptions for $ARGUMENTS.
8
9	If the user provides files with assumptions or research data, read them first.
10
11	### Domain Context
12
13	ICE works well for assumption prioritization: Impact (Opportunity Score × # Customers) × Confidence (1–10) × Ease (1–10). Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1 (Dan Olsen). RICE splits Impact into Reach × Impact separately: (R × I × C) / E. See the `prioritization-frameworks` skill for full formulas and templates.
14
15	### Instructions
16
17	The user will provide a list of assumptions to prioritize. Apply the following framework:
18
19	1. For each assumption, evaluate two dimensions:
20	- Impact: The value created by validating this assumption AND the number of customers affected (in ICE: Impact = Opportunity Score × # Customers)
21	- Risk: Defined as (1 - Confidence) × Effort
22
23	2. Categorize each assumption using the Impact × Risk matrix:
24	- Low Impact, Low Risk → Defer testing until higher-priority assumptions are addressed
25	- High Impact, Low Risk → Proceed to implementation (low risk, high reward)
26	- Low Impact, High Risk → Reject the idea (not worth the investment)
27	- High Impact, High Risk → Design an experiment to test it
28
29	3. For each assumption requiring testing, suggest an experiment that:
30	- Maximizes validated learning with minimal effort
31	- Measures actual behavior, not opinions
32	- Has a clear success metric and threshold
33
34	4. Present results as a prioritized matrix or table.
35
36	Think step by step. Save as markdown if the output is substantial.
37
38	---
39
40	### Further Reading
41
42	- [Assumption Prioritization Canvas: How to Identify And Test The Right Assumptions](https://www.productcompass.pm/p/assumption-prioritization-canvas)
43	- [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)

People who liked this also viewed

6 picks

Type

prioritize-assumptions

1.8kinstalls2.5kforks

View on GitHub

How to install prioritize-assumptions?

phuryn/pm-skills/prioritize-assumptions

$npx -y skills add phuryn/pm-skills --skill prioritize-assumptions

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	## Prioritize Assumptions
2
3	Triage assumptions using an Impact × Risk matrix and suggest targeted experiments.
4
5	### Context
6
7	You are helping prioritize assumptions for $ARGUMENTS.
8
9	If the user provides files with assumptions or research data, read them first.
10
11	### Domain Context
12
13	ICE works well for assumption prioritization: Impact (Opportunity Score × # Customers) × Confidence (1–10) × Ease (1–10). Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1 (Dan Olsen). RICE splits Impact into Reach × Impact separately: (R × I × C) / E. See the `prioritization-frameworks` skill for full formulas and templates.
14
15	### Instructions
16
17	The user will provide a list of assumptions to prioritize. Apply the following framework:
18
19	1. For each assumption, evaluate two dimensions:
20	- Impact: The value created by validating this assumption AND the number of customers affected (in ICE: Impact = Opportunity Score × # Customers)
21	- Risk: Defined as (1 - Confidence) × Effort
22
23	2. Categorize each assumption using the Impact × Risk matrix:
24	- Low Impact, Low Risk → Defer testing until higher-priority assumptions are addressed
25	- High Impact, Low Risk → Proceed to implementation (low risk, high reward)
26	- Low Impact, High Risk → Reject the idea (not worth the investment)
27	- High Impact, High Risk → Design an experiment to test it
28
29	3. For each assumption requiring testing, suggest an experiment that:
30	- Maximizes validated learning with minimal effort
31	- Measures actual behavior, not opinions
32	- Has a clear success metric and threshold
33
34	4. Present results as a prioritized matrix or table.
35
36	Think step by step. Save as markdown if the output is substantial.
37
38	---
39
40	### Further Reading
41
42	- [Assumption Prioritization Canvas: How to Identify And Test The Right Assumptions](https://www.productcompass.pm/p/assumption-prioritization-canvas)
43	- [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)

People who liked this also viewed

6 picks

Type