product-discovery

Name: product-discovery
Author: ncklrs

145installs3forks

How to install product-discovery?

ncklrs/startup-os-skills/product-discovery

$npx -y skills add ncklrs/startup-os-skills --skill product-discovery

Installs into the current project.

Summary

Expert product discovery guidance for user research and problem validation. Use when conducting user interviews, validating problems, applying jobs-to-be-done framework, sizing opportunities, customer segmentation, competitive analysis, prototype testing, usability testing, desig

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SKILL.md

1	# Product Discovery
2
3	Strategic user research and problem validation expertise — from interview techniques and JTBD to opportunity sizing and insight synthesis.
4
5	## Philosophy
6
7	Great products start with great problems. Discovery is how you find problems worth solving for people who will pay.
8
9	The best product discovery:
10	1. Talk to users, not stakeholders — Customers know their problems, not solutions
11	2. Validate problems before solutions — Build the right thing, then build it right
12	3. Quantify and qualify — Numbers tell you what, conversations tell you why
13	4. Continuous over batched — Weekly habits beat quarterly projects
14
15	## How This Skill Works
16
17	When invoked, apply the guidelines in `rules/` organized by:
18
19	- `research-*` — User interview techniques, survey design, research ops
20	- `discovery-*` — Problem discovery, JTBD framework, validation
21	- `analysis-*` — Synthesis, segmentation, competitive analysis
22	- `testing-*` — Prototype testing, usability testing
23
24	## Core Frameworks
25
26	### Discovery Process
27
28	\| Phase \| Activities \| Outputs \|
29	\|-------\|------------\|---------\|
30	\| Explore \| Interviews, observation, data mining \| Problem space map \|
31	\| Validate \| Problem interviews, surveys, experiments \| Validated problems \|
32	\| Prioritize \| Opportunity scoring, segmentation \| Prioritized roadmap \|
33	\| Test \| Prototype testing, usability studies \| Solution validation \|
34
35	### Jobs-to-be-Done Framework
36
37	```
38	┌─────────────────────┐
39	│ FUNCTIONAL JOB │
40	│ (What they do) │
41	└──────────┬──────────┘
42	│
43	┌────────────────┼────────────────┐
44	│ │ │
45	▼ ▼ ▼
46	┌──────────┐ ┌──────────┐ ┌──────────┐
47	│ EMOTIONAL│ │ SOCIAL │ │ CONTEXT │
48	│ JOB │ │ JOB │ │ (When/ │
49	│ (Feel) │ │ (Appear) │ │ Where) │
50	└──────────┘ └──────────┘ └──────────┘
51	```
52
53	### Opportunity Scoring (OST)
54
55	\| Factor \| Weight \| Description \|
56	\|--------\|--------\|-------------\|
57	\| Importance \| 40% \| How important is this job to the customer? \|
58	\| Satisfaction \| 30% \| How satisfied are they with current solutions? \|
59	\| Frequency \| 20% \| How often do they encounter this problem? \|
60	\| Willingness to Pay \| 10% \| Will they pay to solve this? \|
61
62	Opportunity Score = Importance + max(Importance - Satisfaction, 0)
63
64	### Research Method Selection
65
66	```
67	┌─────────────────────────────────────────────────────────────┐
68	│ GENERATIVE RESEARCH │
69	│ (Discover unknown unknowns) │
70	│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
71	│ │Contextual │ │ Discovery │ │ Diary │ │
72	│ │ Inquiry │ │ Interviews│ │ Studies │ │
73	│ └───────────┘ └───────────┘ └───────────┘ │
74	├─────────────────────────────────────────────────────────────┤
75	│ EVALUATIVE RESEARCH │
76	│ (Validate known hypotheses) │
77	│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
78	│ │ Usability │ │ A/B │ │ Prototype │ │
79	│ │ Testing │ │ Testing │ │ Testing │ │
80	│ └───────────┘ └───────────┘ └───────────┘ │
81	├─────────────────────────────────────────────────────────────┤
82	│ QUANTITATIVE RESEARCH │
83	│ (Measure and prioritize) │
84	│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
85	│ │ Surveys │ │ Analytics │ │ Card │ │
86	│ │ │ │ Review │ │ Sorting │ │
87	│ └───────────┘ └───────────┘ └───────────┘ │
88	└─────────────────────────────────────────────────────────────┘
89	```
90
91	### Customer Segmentation Matrix
92
93	\| Dimension \| Consumer (B2C) \| Business (B2B) \|
94	\|-----------\|----------------\|----------------\|
95	\| Demographics \| Age, income, location \| Company size, industry, revenue \|
96	\| Behavior \| Usage patterns, purchase history \| Buying process, tech stack \|
97	\| Psychographics \| Values, lifestyle, attitudes \| Company culture, risk tolerance \|
98	\| Needs \| Problems, goals, aspirations \| Business outcomes, KPIs \|
99
100	### Continuous Discovery Cadence
101
102	```
103	Weekly:
104	├── 2-3 customer interviews
105	├── Review analytics/feedback
106	└── Update opportunity backlog
107
108	Monthly:
109	├

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Type

product-discovery

145installs3forks

View on GitHub

How to install product-discovery?

ncklrs/startup-os-skills/product-discovery

$npx -y skills add ncklrs/startup-os-skills --skill product-discovery

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Product Discovery
2
3	Strategic user research and problem validation expertise — from interview techniques and JTBD to opportunity sizing and insight synthesis.
4
5	## Philosophy
6
7	Great products start with great problems. Discovery is how you find problems worth solving for people who will pay.
8
9	The best product discovery:
10	1. Talk to users, not stakeholders — Customers know their problems, not solutions
11	2. Validate problems before solutions — Build the right thing, then build it right
12	3. Quantify and qualify — Numbers tell you what, conversations tell you why
13	4. Continuous over batched — Weekly habits beat quarterly projects
14
15	## How This Skill Works
16
17	When invoked, apply the guidelines in `rules/` organized by:
18
19	- `research-*` — User interview techniques, survey design, research ops
20	- `discovery-*` — Problem discovery, JTBD framework, validation
21	- `analysis-*` — Synthesis, segmentation, competitive analysis
22	- `testing-*` — Prototype testing, usability testing
23
24	## Core Frameworks
25
26	### Discovery Process
27
28	\| Phase \| Activities \| Outputs \|
29	\|-------\|------------\|---------\|
30	\| Explore \| Interviews, observation, data mining \| Problem space map \|
31	\| Validate \| Problem interviews, surveys, experiments \| Validated problems \|
32	\| Prioritize \| Opportunity scoring, segmentation \| Prioritized roadmap \|
33	\| Test \| Prototype testing, usability studies \| Solution validation \|
34
35	### Jobs-to-be-Done Framework
36
37	```
38	┌─────────────────────┐
39	│ FUNCTIONAL JOB │
40	│ (What they do) │
41	└──────────┬──────────┘
42	│
43	┌────────────────┼────────────────┐
44	│ │ │
45	▼ ▼ ▼
46	┌──────────┐ ┌──────────┐ ┌──────────┐
47	│ EMOTIONAL│ │ SOCIAL │ │ CONTEXT │
48	│ JOB │ │ JOB │ │ (When/ │
49	│ (Feel) │ │ (Appear) │ │ Where) │
50	└──────────┘ └──────────┘ └──────────┘
51	```
52
53	### Opportunity Scoring (OST)
54
55	\| Factor \| Weight \| Description \|
56	\|--------\|--------\|-------------\|
57	\| Importance \| 40% \| How important is this job to the customer? \|
58	\| Satisfaction \| 30% \| How satisfied are they with current solutions? \|
59	\| Frequency \| 20% \| How often do they encounter this problem? \|
60	\| Willingness to Pay \| 10% \| Will they pay to solve this? \|
61
62	Opportunity Score = Importance + max(Importance - Satisfaction, 0)
63
64	### Research Method Selection
65
66	```
67	┌─────────────────────────────────────────────────────────────┐
68	│ GENERATIVE RESEARCH │
69	│ (Discover unknown unknowns) │
70	│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
71	│ │Contextual │ │ Discovery │ │ Diary │ │
72	│ │ Inquiry │ │ Interviews│ │ Studies │ │
73	│ └───────────┘ └───────────┘ └───────────┘ │
74	├─────────────────────────────────────────────────────────────┤
75	│ EVALUATIVE RESEARCH │
76	│ (Validate known hypotheses) │
77	│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
78	│ │ Usability │ │ A/B │ │ Prototype │ │
79	│ │ Testing │ │ Testing │ │ Testing │ │
80	│ └───────────┘ └───────────┘ └───────────┘ │
81	├─────────────────────────────────────────────────────────────┤
82	│ QUANTITATIVE RESEARCH │
83	│ (Measure and prioritize) │
84	│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
85	│ │ Surveys │ │ Analytics │ │ Card │ │
86	│ │ │ │ Review │ │ Sorting │ │
87	│ └───────────┘ └───────────┘ └───────────┘ │
88	└─────────────────────────────────────────────────────────────┘
89	```
90
91	### Customer Segmentation Matrix
92
93	\| Dimension \| Consumer (B2C) \| Business (B2B) \|
94	\|-----------\|----------------\|----------------\|
95	\| Demographics \| Age, income, location \| Company size, industry, revenue \|
96	\| Behavior \| Usage patterns, purchase history \| Buying process, tech stack \|
97	\| Psychographics \| Values, lifestyle, attitudes \| Company culture, risk tolerance \|
98	\| Needs \| Problems, goals, aspirations \| Business outcomes, KPIs \|
99
100	### Continuous Discovery Cadence
101
102	```
103	Weekly:
104	├── 2-3 customer interviews
105	├── Review analytics/feedback
106	└── Update opportunity backlog
107
108	Monthly:
109	├

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6 picks

Type