pmf-research-synthesis

Name: pmf-research-synthesis
Author: gnurio

2installs4forks

How to install pmf-research-synthesis?

gnurio/pmf-plugin/pmf-research-synthesis

$npx -y skills add gnurio/pmf-plugin --skill pmf-research-synthesis

Installs into the current project.

Summary

Synthesize market research and expert advice to identify the riskiest PMF dimension and update the narrative. This skill should be used after completing market research and optional expert calls to determine what to validate next.

Files · 1

View on GitHub

SKILL.md

1	# PMF Research Synthesis
2
3	This skill analyzes evidence from market research and expert advice to identify the riskiest dimension, recommend narrative updates (refinement/pivot/reset), and determine the next validation step.
4
5	## Purpose
6
7	Generate a risk prioritization analysis that:
8	1. Synthesizes findings from market research + expert advice across 6 dimensions
9	2. Calculates risk scores using evidence quality × failure impact
10	3. Identifies THE riskiest dimension requiring targeted validation
11	4. Recommends narrative updates (refinement, pivot, or reset)
12	5. Updates pmf-narrative.md from V1 → V2 with evidence-based changes
13
14	## When to Use This Skill
15
16	Use this skill when:
17	- Completed `/pmf-market-research` and have market-research-synthesis.md
18	- (Optional) Conducted expert calls and documented in expert-notes.md
19	- Ready to determine which dimension to validate next
20	- Following deliberate PMF framework: broad validation → identify risk → targeted validation
21
22	Do NOT use this skill when:
23	- Haven't run market research yet (use `/pmf-market-research` first)
24	- Ready to jump straight to customer interviews without prioritization
25	- Already know which dimension is riskiest (use `/pmf-validation-planner` directly)
26
27	## Key Concepts
28
29	Three update types:
30	1. Refinement: Minor clarity improvements (confidence increases from 4-6 → 7-8)
31	2. Pivot: Significant changes to 1+ dimensions (analogs support different approach)
32	3. Reset: Scrapping entire narrative (only antilogs found, not viable)
33
34	Risk = (10 - Evidence Score) × Failure Impact
35	- Evidence: 1-10 (how strong is validation from analogs + experts?)
36	- Impact: 1-4 (what happens if hypothesis is wrong? Low/Med/High/Critical)
37
38	## Workflow
39
40	### Phase 1: Setup and Evidence Gathering
41
42	1. Locate required files:
43	- `pmf-narrative.md` (V1)
44	- `validation/market-research-synthesis.md` (required)
45	- `validation/expert-notes.md` (optional but recommended)
46
47	2. Read all evidence into context:
48	- Load pmf-narrative V1 to understand current hypotheses
49	- Load market research synthesis for analog/antilog findings
50	- Load expert notes (if exists) for additional insights
51
52	3. Verify prerequisites:
53	- Market research has findings for all 6 dimensions
54	- Each dimension has confidence assessment
55	- Analogs/antilogs are documented with clear patterns
56
57	### Phase 2: Evidence Analysis by Dimension
58
59	For EACH of the 6 dimensions:
60
61	1. Extract V1 hypothesis from pmf-narrative.md
62
63	2. Compile evidence:
64	- Analog count and key patterns (what worked?)
65	- Antilog count and failure modes (what failed?)
66	- Expert advice summary (consensus or disagreement?)
67
68	3. Assess confidence change:
69	- V1 confidence (from narrative)
70	- V2 confidence (based on evidence strength)
71	- Rationale for change
72
73	4. Determine update type:
74	- ✅ Validated: 3+ analogs, no major antilogs, confidence 7-8+
75	- 🔄 Refinement: 2+ analogs support general approach with nuances to incorporate
76	- ⚠️ Pivot: Antilogs show current approach risky, but alternative exists
77	- ❌ Reset: Only antilogs, no viable path forward
78
79	5. Draft V2 hypothesis (if refinement or pivot needed):
80	- Incorporate analog insights
81	- Avoid antilog pitfalls
82	- Apply expert advice specificity
83
84	### Phase 3: Risk Scoring and Prioritization
85
86	1. Calculate risk score for each dimension:
87
88	\| Dimension \| Evidence Score (V2 confidence) \| Failure Impact \| Risk Score \|
89	\|-----------\|-------------------------------\|----------------\|------------\|
90	\| Problem \| {1-10} \| {1-4} \| {(10-score) × impact} \|
91	\| Target Audience \| {1-10} \| {1-4} \| {(10-score) × impact} \|
92	\| Value Prop \| {1-10} \| {1-4} \| {(10-score) × impact} \|
93	\| Competitive Advantage \| {1-10} \| {1-4} \| {(10-score) × impact} \|
94	\| Growth Strategy \| {1-10} \| {1-4} \| {(10-score) × impact} \|
95	\| Business Model \| {1-10} \| {1-4} \| {(10-score) × impact} \|
96
97	Failure impact assessment:
98	- Problem: Critical (if not acute, product doesn't work)
99	- Target Audience: High (wrong audience = can't find PMF)
100	- Value Prop: Medium (can iterate messaging)
101	- Competitive Advantage: Medium (can build different moat)
102	- Growth Strategy: High (can't scale without channels)
103	- Business Model: Critical (unprofitable = unsustainable)
104
105	2. Identify riskiest dimension: Highest risk score
106
107	3. Explain why it's riskiest:
108	- Evidence gaps (what don't we know?)
109	- Failure consequences (what happens if wrong?)
110	- Urgency (can we afford to be wrong?)
111
112	### Phase 4: Update PMF Narrative to V2
113
114	1. Load current pmf-narrative.md
115
116	2. Add version history entry:
117	```markdown
118	### V2: Post-Market Research & Expert Advice (YYYY-MM-DD)
119	Changes:
120	- Refined {dimension}: {specific change based on anal

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pmf-research-synthesis

2installs4forks

View on GitHub

How to install pmf-research-synthesis?

gnurio/pmf-plugin/pmf-research-synthesis

$npx -y skills add gnurio/pmf-plugin --skill pmf-research-synthesis

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# PMF Research Synthesis
2
3	This skill analyzes evidence from market research and expert advice to identify the riskiest dimension, recommend narrative updates (refinement/pivot/reset), and determine the next validation step.
4
5	## Purpose
6
7	Generate a risk prioritization analysis that:
8	1. Synthesizes findings from market research + expert advice across 6 dimensions
9	2. Calculates risk scores using evidence quality × failure impact
10	3. Identifies THE riskiest dimension requiring targeted validation
11	4. Recommends narrative updates (refinement, pivot, or reset)
12	5. Updates pmf-narrative.md from V1 → V2 with evidence-based changes
13
14	## When to Use This Skill
15
16	Use this skill when:
17	- Completed `/pmf-market-research` and have market-research-synthesis.md
18	- (Optional) Conducted expert calls and documented in expert-notes.md
19	- Ready to determine which dimension to validate next
20	- Following deliberate PMF framework: broad validation → identify risk → targeted validation
21
22	Do NOT use this skill when:
23	- Haven't run market research yet (use `/pmf-market-research` first)
24	- Ready to jump straight to customer interviews without prioritization
25	- Already know which dimension is riskiest (use `/pmf-validation-planner` directly)
26
27	## Key Concepts
28
29	Three update types:
30	1. Refinement: Minor clarity improvements (confidence increases from 4-6 → 7-8)
31	2. Pivot: Significant changes to 1+ dimensions (analogs support different approach)
32	3. Reset: Scrapping entire narrative (only antilogs found, not viable)
33
34	Risk = (10 - Evidence Score) × Failure Impact
35	- Evidence: 1-10 (how strong is validation from analogs + experts?)
36	- Impact: 1-4 (what happens if hypothesis is wrong? Low/Med/High/Critical)
37
38	## Workflow
39
40	### Phase 1: Setup and Evidence Gathering
41
42	1. Locate required files:
43	- `pmf-narrative.md` (V1)
44	- `validation/market-research-synthesis.md` (required)
45	- `validation/expert-notes.md` (optional but recommended)
46
47	2. Read all evidence into context:
48	- Load pmf-narrative V1 to understand current hypotheses
49	- Load market research synthesis for analog/antilog findings
50	- Load expert notes (if exists) for additional insights
51
52	3. Verify prerequisites:
53	- Market research has findings for all 6 dimensions
54	- Each dimension has confidence assessment
55	- Analogs/antilogs are documented with clear patterns
56
57	### Phase 2: Evidence Analysis by Dimension
58
59	For EACH of the 6 dimensions:
60
61	1. Extract V1 hypothesis from pmf-narrative.md
62
63	2. Compile evidence:
64	- Analog count and key patterns (what worked?)
65	- Antilog count and failure modes (what failed?)
66	- Expert advice summary (consensus or disagreement?)
67
68	3. Assess confidence change:
69	- V1 confidence (from narrative)
70	- V2 confidence (based on evidence strength)
71	- Rationale for change
72
73	4. Determine update type:
74	- ✅ Validated: 3+ analogs, no major antilogs, confidence 7-8+
75	- 🔄 Refinement: 2+ analogs support general approach with nuances to incorporate
76	- ⚠️ Pivot: Antilogs show current approach risky, but alternative exists
77	- ❌ Reset: Only antilogs, no viable path forward
78
79	5. Draft V2 hypothesis (if refinement or pivot needed):
80	- Incorporate analog insights
81	- Avoid antilog pitfalls
82	- Apply expert advice specificity
83
84	### Phase 3: Risk Scoring and Prioritization
85
86	1. Calculate risk score for each dimension:
87
88	\| Dimension \| Evidence Score (V2 confidence) \| Failure Impact \| Risk Score \|
89	\|-----------\|-------------------------------\|----------------\|------------\|
90	\| Problem \| {1-10} \| {1-4} \| {(10-score) × impact} \|
91	\| Target Audience \| {1-10} \| {1-4} \| {(10-score) × impact} \|
92	\| Value Prop \| {1-10} \| {1-4} \| {(10-score) × impact} \|
93	\| Competitive Advantage \| {1-10} \| {1-4} \| {(10-score) × impact} \|
94	\| Growth Strategy \| {1-10} \| {1-4} \| {(10-score) × impact} \|
95	\| Business Model \| {1-10} \| {1-4} \| {(10-score) × impact} \|
96
97	Failure impact assessment:
98	- Problem: Critical (if not acute, product doesn't work)
99	- Target Audience: High (wrong audience = can't find PMF)
100	- Value Prop: Medium (can iterate messaging)
101	- Competitive Advantage: Medium (can build different moat)
102	- Growth Strategy: High (can't scale without channels)
103	- Business Model: Critical (unprofitable = unsustainable)
104
105	2. Identify riskiest dimension: Highest risk score
106
107	3. Explain why it's riskiest:
108	- Evidence gaps (what don't we know?)
109	- Failure consequences (what happens if wrong?)
110	- Urgency (can we afford to be wrong?)
111
112	### Phase 4: Update PMF Narrative to V2
113
114	1. Load current pmf-narrative.md
115
116	2. Add version history entry:
117	```markdown
118	### V2: Post-Market Research & Expert Advice (YYYY-MM-DD)
119	Changes:
120	- Refined {dimension}: {specific change based on anal

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