Story-Based Interview Guide

Interview snapshots

by wondelai · MIT license · ★ 2,235 on GitHub · updated Sep 10

Interview snapshots cover

A practical guide to conducting story-based customer interviews, capturing insights in a standardized snapshot format, and building a…

# Interview Snapshots

A practical guide to conducting story-based customer interviews, capturing insights in a standardized snapshot format, and building a sustainable weekly interview cadence.

## Story-Based Interviewing

### Why Stories, Not Opinions

Traditional customer interviews ask people what they want, how they'd rate features, or whether they'd use a hypothetical product. These approaches fail because:

| Approach | Why It Fails | What You Get |
|----------|-------------|--------------|
| "What features do you want?" | Customers design solutions, not needs | Feature requests disconnected from real problems |
| "Would you use X?" | Hypothetical questions get hypothetical answers | False positives -- people say yes to be polite |
| "How important is Y on a scale of 1-5?" | Everything is rated "important" with no context | Flat data with no insight into actual behavior |
| "What do you think of Z?" | Opinions don't predict behavior | Rationalizations, not revelations |

Story-based interviewing asks customers to describe specific past experiences in rich detail. Real stories reveal what people actually did, felt, and struggled with -- not what they think they might do.

Overview

A practical guide to conducting story-based customer interviews, capturing insights in a standardized snapshot format, and building a sustainable weekly interview cadence.

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Interview Snapshots

A practical guide to conducting story-based customer interviews, capturing insights in a standardized snapshot format, and building a sustainable weekly interview cadence.

Story-Based Interviewing

Why Stories, Not Opinions

Traditional customer interviews ask people what they want, how they'd rate features, or whether they'd use a hypothetical product. These approaches fail because:

Approach Why It Fails What You Get
"What features do you want?" Customers design solutions, not needs Feature requests disconnected from real problems
"Would you use X?" Hypothetical questions get hypothetical answers False positives -- people say yes to be polite
"How important is Y on a scale of 1-5?" Everything is rated "important" with no context Flat data with no insight into actual behavior
"What do you think of Z?" Opinions don't predict behavior Rationalizations, not revelations

Story-based interviewing asks customers to describe specific past experiences in rich detail. Real stories reveal what people actually did, felt, and struggled with -- not what they think they might do.

The Core Technique

The anchor question: "Tell me about the last time you [did the relevant activity]."

This single prompt unlocks a narrative. From there, follow up with:

  • Sequence questions: "What happened next?" "And then what did you do?"
  • Clarification questions: "What do you mean by 'frustrating'?" "Can you walk me through that step by step?"
  • Emotion questions: "How did that make you feel?" "What were you thinking at that point?"
  • Context questions: "Where were you when this happened?" "Who else was involved?"
  • Contrast questions: "Was that different from the time before?" "Have you ever done it differently?"
Interview Structure (30 Minutes)

Minutes 1-3: Warm-up

  • Thank the participant
  • Explain the purpose: "We're trying to understand how you [activity] so we can make the experience better"
  • Reassure: "There are no right or wrong answers -- we just want to learn from your real experience"
  • Ask permission to record

Minutes 3-8: Context setting

  • "How often do you [activity]?"
  • "How long have you been doing it this way?"
  • "Who else is involved when you [activity]?"

Minutes 8-25: Story elicitation

  • "Tell me about the last time you [activity]. Start from the very beginning."
  • Follow the story wherever it goes, using follow-up questions
  • Probe pain points: "You mentioned that was annoying -- can you tell me more about that?"
  • Probe workarounds: "You said you used a spreadsheet for that part -- walk me through why"
  • Get specifics: "You said 'a while' -- was that minutes? Hours? Days?"

Minutes 25-30: Wrap-up

  • "Is there anything else about this experience that we haven't covered?"
  • "What's the single most frustrating part of [activity]?"
  • Thank the participant and explain next steps
Common Interview Mistakes
Mistake Example Fix
Leading questions "Don't you think it would be better if...?" "How do you handle that situation today?"
Accepting vague answers Customer says "it's fine" and you move on "Can you tell me about a specific time it was fine? What happened?"
Pitching your solution "We're building a feature that does X -- would you use it?" Save solution ideas for after the interview
Talking more than listening Interviewer fills silences with explanations Embrace silence; count to 5 before speaking
Only interviewing happy customers Recruiting from active power users Include churned users, new users, and struggling users
Going hypothetical "What would you do if...?" "Tell me about a time when you actually faced that situation"

The Interview Snapshot Format

After each interview, the product trio fills out a one-page snapshot. The goal is a concise, scannable artifact that anyone on the team can read in two minutes.

Snapshot Template
┌─────────────────────────────────────────────────────┐
│ INTERVIEW SNAPSHOT                                  │
│                                                     │
│ Date: [date]          Participant: [name/alias]     │
│ Interviewer(s): [names]                             │
│ Role/Segment: [description]                         │
│                                                     │
│ ── THE STORY ──────────────────────────────────────│
│ [2-3 sentence summary of the specific experience    │
│  the participant described]                         │
│                                                     │
│ ── KEY QUOTES ─────────────────────────────────────│
│ • "[verbatim quote 1]"                              │
│ • "[verbatim quote 2]"                              │
│ • "[verbatim quote 3]"                              │
│                                                     │
│ ── OPPORTUNITIES IDENTIFIED ───────────────────────│
│ • [Opportunity 1 -- framed as customer need]        │
│ • [Opportunity 2 -- framed as customer need]        │
│                                                     │
│ ── SURPRISES / NEW INSIGHTS ───────────────────────│
│ • [Something unexpected that challenges our         │
│   assumptions]                                      │
│                                                     │
│ ── FOLLOW-UP ──────────────────────────────────────│
│ • [Questions to explore in future interviews]       │
│ • [Data to look up]                                 │
│                                                     │
└─────────────────────────────────────────────────────┘
Filling Out the Snapshot

Timing: Complete the snapshot immediately after the interview, while the conversation is fresh. This should take 10-15 minutes for the trio together.

The Story section: Write 2-3 sentences that capture the specific experience the participant described. Not a summary of everything they said -- the core narrative arc. Example: "Maria described her weekly process of preparing client reports. She spends 2 hours every Monday manually pulling data from three different tools into a spreadsheet, then another hour formatting it. She sends the report by email and rarely hears back, so she doesn't know if clients actually read it."

Key Quotes: Write down 2-4 verbatim quotes that were particularly revealing. These are gold for communicating customer voice to stakeholders. Example: "I just copy and paste from three different dashboards. It's ridiculous, but I don't know a better way."

Opportunities Identified: Translate pain points and unmet needs into opportunity statements. These should be framed from the customer's perspective and be solution-agnostic. Example: "Users need a way to aggregate data from multiple sources without manual copy-paste."

Surprises: Capture anything that challenged the team's assumptions or was genuinely new. This section forces the team to acknowledge what they didn't know.

Synthesizing Across Interviews

Individual interviews tell stories. Patterns across interviews reveal opportunities. Synthesis is how you move from anecdotes to evidence.

The Synthesis Process

Weekly (after each interview):

  1. Complete the interview snapshot
  2. Add new opportunities to the Opportunity Solution Tree
  3. Note if the opportunity reinforces a pattern seen in prior interviews

Bi-weekly (every 2 weeks):

  1. Lay out all recent snapshots side by side
  2. Look for recurring themes across participants
  3. Cluster similar opportunities together
  4. Identify which opportunities have the most supporting evidence
  5. Update the OST with refined opportunity framing

Monthly:

  1. Review the full snapshot library
  2. Assess coverage: are we hearing from diverse segments?
  3. Identify gaps: what questions remain unanswered?
  4. Adjust recruitment strategy based on gaps
Identifying Patterns
Signal What It Means Action
3+ participants describe the same pain point Strong opportunity with broad impact Promote to a primary opportunity on the OST
Different segments describe the same need differently Opportunity may need sub-opportunities by segment Break into segment-specific sub-opportunities
One participant describes something nobody else mentioned Could be an outlier or an early signal Keep it noted; look for it in the next 3-5 interviews
Participants describe workarounds for the same gap Unmet need that customers are actively trying to solve High-priority opportunity -- customers already want a solution
Emotional language appears around a specific moment High-impact pain point with emotional resonance Opportunity with strong desirability signal
Avoiding Synthesis Pitfalls
  • Recency bias: The most recent interview feels most important. Counter by reviewing all recent snapshots together.
  • Confirmation bias: You notice patterns that confirm what you already believe. Counter by specifically looking for disconfirming evidence.
  • Loudest voice: One particularly articulate participant's story dominates thinking. Counter by counting -- how many participants mentioned this?
  • Premature closure: You stop interviewing once you hear a pattern. Counter by continuing interviews even when you think you've found the answer.

Extracting Opportunities from Stories

The Translation Process

Stories contain raw data. Opportunities are insights extracted from that data. The translation requires separating what customers did and felt from what the team might do about it.

Step 1: Identify the pain point or unmet need in the story

  • Customer action: "I export data to a spreadsheet, then reformat it manually"
  • Pain point: Manual data transformation is time-consuming and error-prone

Step 2: Frame it from the customer's perspective

  • Bad: "We need to add a data export feature" (solution-framed)
  • Good: "Users need their data in a usable format without manual transformation" (need-framed)

Step 3: Validate the scope

  • Is this too broad? ("Users need data") -- break it down
  • Is this too narrow? ("Users need CSV export with custom columns") -- zoom out
  • Just right: specific enough to be actionable, broad enough to allow multiple solutions

Automating Recruitment

The biggest reason teams stop doing weekly interviews is that recruitment is painful. Automation makes the habit sustainable.

Recruitment Channels
Channel Best For Setup Effort Ongoing Effort
In-app intercept Active users; behavior-triggered targeting Medium (requires engineering) Very low
Email to existing users Broad user base; can segment by behavior Low Low
Customer advisory panel Power users willing to give regular feedback Medium (need to curate panel) Low
Support ticket follow-up Users who experienced specific problems Low Medium (manual screening)
Scheduling tool (e.g., Calendly) All channels; reduces back-and-forth Very low Very low
User research platform Diverse participants including non-users Low (subscription) Low
The Ideal Recruitment System
  1. Trigger: An in-app message appears to users who match your target criteria (e.g., users in their first week, users who haven't used feature X, users who recently churned)
  2. Opt-in: The message says: "Help us make [product] better for you. Chat for 20-30 minutes and receive [incentive]."
  3. Scheduling: Clicking the message opens a scheduling tool with the team's available slots
  4. Reminder: Automatic email reminder 24 hours and 1 hour before the session
  5. Follow-up: Automatic thank-you email with incentive delivery after the session
Incentive Guidelines
Audience Appropriate Incentive
B2B enterprise users Gift card ($50-100), donation to charity of choice
B2B SMB users Gift card ($25-50), extended trial or credits
Consumer users (paid) Gift card ($15-30), free month of service
Consumer users (free) Gift card ($10-20), premium feature access
Churned users Gift card ($30-50) -- harder to recruit, worth the premium

The Weekly Interview Cadence

Minimum Viable Cadence
  • One interview per week with the full product trio present
  • 10-15 minutes of snapshot synthesis immediately after the interview
  • 30 minutes of bi-weekly synthesis reviewing patterns across recent snapshots
Scaling the Cadence

As the team builds the habit, scale to 2-3 interviews per week:

Slot Focus Participant Type
Tuesday 2pm Current problem space Active users matching current opportunity
Thursday 10am Broad discovery Diverse user segments for new opportunities
Friday 11am (optional) Specific investigation Churned users, prospects, or edge cases
What If You Can't Get Interviews?
Barrier Workaround
"Our users won't talk to us" Start with users who contact support -- they already want to talk
"We're B2B and can't reach end users" Partner with customer success to join their regular calls
"Leadership says we don't have time" Start with one 30-minute interview per week; the value will justify more
"We don't have users yet" Interview people who match your target persona about their current experience
"Nobody shows up" Increase incentive, send multiple reminders, over-recruit (book 5 to get 3)

Snapshot Library Management

Organization

Organize snapshots so the team can reference them easily:

  • Chronological: Newest on top for scanning recent learning
  • Tagged by opportunity: Each snapshot tagged with the opportunities it supports
  • Tagged by segment: Each snapshot tagged with participant characteristics
  • Searchable: Use a tool that allows keyword search across all snapshots
Using the Library
  • Before designing a solution: Pull up all snapshots related to the target opportunity
  • During stakeholder discussions: Reference specific snapshots and quotes to ground conversations in evidence
  • When onboarding new team members: Have them read the last 10-15 snapshots to build customer empathy quickly
  • During prioritization: Count how many snapshots support each opportunity to assess evidence strength
1# Interview Snapshots
2 
3A practical guide to conducting story-based customer interviews, capturing insights in a standardized snapshot format, and building a sustainable weekly interview cadence.
4 
5## Story-Based Interviewing
6 
7### Why Stories, Not Opinions
8 
9Traditional customer interviews ask people what they want, how they'd rate features, or whether they'd use a hypothetical product. These approaches fail because:
10 
11| Approach | Why It Fails | What You Get |
12|----------|-------------|--------------|
13| "What features do you want?" | Customers design solutions, not needs | Feature requests disconnected from real problems |
14| "Would you use X?" | Hypothetical questions get hypothetical answers | False positives -- people say yes to be polite |
15| "How important is Y on a scale of 1-5?" | Everything is rated "important" with no context | Flat data with no insight into actual behavior |
16| "What do you think of Z?" | Opinions don't predict behavior | Rationalizations, not revelations |
17 
18Story-based interviewing asks customers to describe specific past experiences in rich detail. Real stories reveal what people actually did, felt, and struggled with -- not what they think they might do.
19 
20### The Core Technique
21 
22**The anchor question:** "Tell me about the last time you [did the relevant activity]."
23 
24This single prompt unlocks a narrative. From there, follow up with:
25 
26- **Sequence questions:** "What happened next?" "And then what did you do?"
27- **Clarification questions:** "What do you mean by 'frustrating'?" "Can you walk me through that step by step?"
28- **Emotion questions:** "How did that make you feel?" "What were you thinking at that point?"
29- **Context questions:** "Where were you when this happened?" "Who else was involved?"
30- **Contrast questions:** "Was that different from the time before?" "Have you ever done it differently?"
31 
32### Interview Structure (30 Minutes)
33 
34**Minutes 1-3: Warm-up**
35- Thank the participant
36- Explain the purpose: "We're trying to understand how you [activity] so we can make the experience better"
37- Reassure: "There are no right or wrong answers -- we just want to learn from your real experience"
38- Ask permission to record
39 
40**Minutes 3-8: Context setting**
41- "How often do you [activity]?"
42- "How long have you been doing it this way?"
43- "Who else is involved when you [activity]?"
44 
45**Minutes 8-25: Story elicitation**
46- "Tell me about the last time you [activity]. Start from the very beginning."
47- Follow the story wherever it goes, using follow-up questions
48- Probe pain points: "You mentioned that was annoying -- can you tell me more about that?"
49- Probe workarounds: "You said you used a spreadsheet for that part -- walk me through why"
50- Get specifics: "You said 'a while' -- was that minutes? Hours? Days?"
51 
52**Minutes 25-30: Wrap-up**
53- "Is there anything else about this experience that we haven't covered?"
54- "What's the single most frustrating part of [activity]?"
55- Thank the participant and explain next steps
56 
57### Common Interview Mistakes
58 
59| Mistake | Example | Fix |
60|---------|---------|-----|
61| Leading questions | "Don't you think it would be better if...?" | "How do you handle that situation today?" |
62| Accepting vague answers | Customer says "it's fine" and you move on | "Can you tell me about a specific time it was fine? What happened?" |
63| Pitching your solution | "We're building a feature that does X -- would you use it?" | Save solution ideas for after the interview |
64| Talking more than listening | Interviewer fills silences with explanations | Embrace silence; count to 5 before speaking |
65| Only interviewing happy customers | Recruiting from active power users | Include churned users, new users, and struggling users |
66| Going hypothetical | "What would you do if...?" | "Tell me about a time when you actually faced that situation" |
67 
68## The Interview Snapshot Format
69 
70After each interview, the product trio fills out a one-page snapshot. The goal is a concise, scannable artifact that anyone on the team can read in two minutes.
71 
72### Snapshot Template
73 
74```
75┌─────────────────────────────────────────────────────┐
76│ INTERVIEW SNAPSHOT │
77│ │
78│ Date: [date] Participant: [name/alias] │
79│ Interviewer(s): [names] │
80│ Role/Segment: [description] │
81│ │
82│ ── THE STORY ──────────────────────────────────────│
83│ [2-3 sentence summary of the specific experience │
84│ the participant described] │
85│ │
86│ ── KEY QUOTES ─────────────────────────────────────│
87│ • "[verbatim quote 1]" │
88│ • "[verbatim quote 2]" │
89│ • "[verbatim quote 3]" │
90│ │
91│ ── OPPORTUNITIES IDENTIFIED ───────────────────────│
92│ • [Opportunity 1 -- framed as customer need] │
93│ • [Opportunity 2 -- framed as customer need] │
94│ │
95│ ── SURPRISES / NEW INSIGHTS ───────────────────────│
96│ • [Something unexpected that challenges our │
97│ assumptions] │
98│ │
99│ ── FOLLOW-UP ──────────────────────────────────────│
100│ • [Questions to explore in future interviews] │
101│ • [Data to look up] │
102│ │
103└─────────────────────────────────────────────────────┘
104```
105 
106### Filling Out the Snapshot
107 
108**Timing:** Complete the snapshot immediately after the interview, while the conversation is fresh. This should take 10-15 minutes for the trio together.
109 
110**The Story section:** Write 2-3 sentences that capture the specific experience the participant described. Not a summary of everything they said -- the core narrative arc. Example: "Maria described her weekly process of preparing client reports. She spends 2 hours every Monday manually pulling data from three different tools into a spreadsheet, then another hour formatting it. She sends the report by email and rarely hears back, so she doesn't know if clients actually read it."
111 
112**Key Quotes:** Write down 2-4 verbatim quotes that were particularly revealing. These are gold for communicating customer voice to stakeholders. Example: "I just copy and paste from three different dashboards. It's ridiculous, but I don't know a better way."
113 
114**Opportunities Identified:** Translate pain points and unmet needs into opportunity statements. These should be framed from the customer's perspective and be solution-agnostic. Example: "Users need a way to aggregate data from multiple sources without manual copy-paste."
115 
116**Surprises:** Capture anything that challenged the team's assumptions or was genuinely new. This section forces the team to acknowledge what they didn't know.
117 
118## Synthesizing Across Interviews
119 
120Individual interviews tell stories. Patterns across interviews reveal opportunities. Synthesis is how you move from anecdotes to evidence.
121 
122### The Synthesis Process
123 
124**Weekly (after each interview):**
1251. Complete the interview snapshot
1262. Add new opportunities to the Opportunity Solution Tree
1273. Note if the opportunity reinforces a pattern seen in prior interviews
128 
129**Bi-weekly (every 2 weeks):**
1301. Lay out all recent snapshots side by side
1312. Look for recurring themes across participants
1323. Cluster similar opportunities together
1334. Identify which opportunities have the most supporting evidence
1345. Update the OST with refined opportunity framing
135 
136**Monthly:**
1371. Review the full snapshot library
1382. Assess coverage: are we hearing from diverse segments?
1393. Identify gaps: what questions remain unanswered?
1404. Adjust recruitment strategy based on gaps
141 
142### Identifying Patterns
143 
144| Signal | What It Means | Action |
145|--------|---------------|--------|
146| 3+ participants describe the same pain point | Strong opportunity with broad impact | Promote to a primary opportunity on the OST |
147| Different segments describe the same need differently | Opportunity may need sub-opportunities by segment | Break into segment-specific sub-opportunities |
148| One participant describes something nobody else mentioned | Could be an outlier or an early signal | Keep it noted; look for it in the next 3-5 interviews |
149| Participants describe workarounds for the same gap | Unmet need that customers are actively trying to solve | High-priority opportunity -- customers already want a solution |
150| Emotional language appears around a specific moment | High-impact pain point with emotional resonance | Opportunity with strong desirability signal |
151 
152### Avoiding Synthesis Pitfalls
153 
154- **Recency bias:** The most recent interview feels most important. Counter by reviewing all recent snapshots together.
155- **Confirmation bias:** You notice patterns that confirm what you already believe. Counter by specifically looking for disconfirming evidence.
156- **Loudest voice:** One particularly articulate participant's story dominates thinking. Counter by counting -- how many participants mentioned this?
157- **Premature closure:** You stop interviewing once you hear a pattern. Counter by continuing interviews even when you think you've found the answer.
158 
159## Extracting Opportunities from Stories
160 
161### The Translation Process
162 
163Stories contain raw data. Opportunities are insights extracted from that data. The translation requires separating what customers did and felt from what the team might do about it.
164 
165**Step 1: Identify the pain point or unmet need in the story**
166- Customer action: "I export data to a spreadsheet, then reformat it manually"
167- Pain point: Manual data transformation is time-consuming and error-prone
168 
169**Step 2: Frame it from the customer's perspective**
170- Bad: "We need to add a data export feature" (solution-framed)
171- Good: "Users need their data in a usable format without manual transformation" (need-framed)
172 
173**Step 3: Validate the scope**
174- Is this too broad? ("Users need data") -- break it down
175- Is this too narrow? ("Users need CSV export with custom columns") -- zoom out
176- Just right: specific enough to be actionable, broad enough to allow multiple solutions
177 
178## Automating Recruitment
179 
180The biggest reason teams stop doing weekly interviews is that recruitment is painful. Automation makes the habit sustainable.
181 
182### Recruitment Channels
183 
184| Channel | Best For | Setup Effort | Ongoing Effort |
185|---------|----------|-------------|----------------|
186| In-app intercept | Active users; behavior-triggered targeting | Medium (requires engineering) | Very low |
187| Email to existing users | Broad user base; can segment by behavior | Low | Low |
188| Customer advisory panel | Power users willing to give regular feedback | Medium (need to curate panel) | Low |
189| Support ticket follow-up | Users who experienced specific problems | Low | Medium (manual screening) |
190| Scheduling tool (e.g., Calendly) | All channels; reduces back-and-forth | Very low | Very low |
191| User research platform | Diverse participants including non-users | Low (subscription) | Low |
192 
193### The Ideal Recruitment System
194 
1951. **Trigger:** An in-app message appears to users who match your target criteria (e.g., users in their first week, users who haven't used feature X, users who recently churned)
1962. **Opt-in:** The message says: "Help us make [product] better for you. Chat for 20-30 minutes and receive [incentive]."
1973. **Scheduling:** Clicking the message opens a scheduling tool with the team's available slots
1984. **Reminder:** Automatic email reminder 24 hours and 1 hour before the session
1995. **Follow-up:** Automatic thank-you email with incentive delivery after the session
200 
201### Incentive Guidelines
202 
203| Audience | Appropriate Incentive |
204|----------|----------------------|
205| B2B enterprise users | Gift card ($50-100), donation to charity of choice |
206| B2B SMB users | Gift card ($25-50), extended trial or credits |
207| Consumer users (paid) | Gift card ($15-30), free month of service |
208| Consumer users (free) | Gift card ($10-20), premium feature access |
209| Churned users | Gift card ($30-50) -- harder to recruit, worth the premium |
210 
211## The Weekly Interview Cadence
212 
213### Minimum Viable Cadence
214 
215- **One interview per week** with the full product trio present
216- **10-15 minutes of snapshot synthesis** immediately after the interview
217- **30 minutes of bi-weekly synthesis** reviewing patterns across recent snapshots
218 
219### Scaling the Cadence
220 
221As the team builds the habit, scale to 2-3 interviews per week:
222 
223| Slot | Focus | Participant Type |
224|------|-------|-----------------|
225| Tuesday 2pm | Current problem space | Active users matching current opportunity |
226| Thursday 10am | Broad discovery | Diverse user segments for new opportunities |
227| Friday 11am (optional) | Specific investigation | Churned users, prospects, or edge cases |
228 
229### What If You Can't Get Interviews?
230 
231| Barrier | Workaround |
232|---------|------------|
233| "Our users won't talk to us" | Start with users who contact support -- they already want to talk |
234| "We're B2B and can't reach end users" | Partner with customer success to join their regular calls |
235| "Leadership says we don't have time" | Start with one 30-minute interview per week; the value will justify more |
236| "We don't have users yet" | Interview people who match your target persona about their current experience |
237| "Nobody shows up" | Increase incentive, send multiple reminders, over-recruit (book 5 to get 3) |
238 
239## Snapshot Library Management
240 
241### Organization
242 
243Organize snapshots so the team can reference them easily:
244- **Chronological:** Newest on top for scanning recent learning
245- **Tagged by opportunity:** Each snapshot tagged with the opportunities it supports
246- **Tagged by segment:** Each snapshot tagged with participant characteristics
247- **Searchable:** Use a tool that allows keyword search across all snapshots
248 
249### Using the Library
250 
251- **Before designing a solution:** Pull up all snapshots related to the target opportunity
252- **During stakeholder discussions:** Reference specific snapshots and quotes to ground conversations in evidence
253- **When onboarding new team members:** Have them read the last 10-15 snapshots to build customer empathy quickly
254- **During prioritization:** Count how many snapshots support each opportunity to assess evidence strength
255 
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Skill360 Feedback Surveymohitagw15856/pm-claude-skills · by mohitagw15856Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.★ 1.4k GitHub starsSkillExpert Knowledge Extractorinhouseseo/superseo-skills · by inhouseseoUse when extracting first-party expertise from a subject-matter expert before writing content. Produces a knowledge document of contrarian takes, specific examples, and surprising outcomes that AI can't fabricate.★ 353 GitHub starsSkillCreator Persona ResearcherTheMattBerman/scrollclaw · by TheMattBermanStart of the UGC pipeline for persona research, creator profiles, format selection, and scriptwriting. Use when the user is clearly asking for messaging work rather than broad full-pipeline orchestration.★ 71 GitHub starsSkillQuestionnaire Generatormattpocock/skills · by mattpocockTell us who you need answers from and what you're missing; get back a clean form you send them to fill in.★ 267k GitHub starsSkillIntent Interview Assistantaddyosmani/agent-skills · by addyosmaniExtracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.★ 98.7k GitHub starsSkillBehavioral Science for Marketingcoreyhaines31/marketingskills · by coreyhaines31When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context. For applying psychology to specific pages, see cro; for pricing tactics, see pricing; for copy framing, see copywriting.★ 51.1k GitHub stars

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SkillSoftware Design Philosophywondelai/skills · by wondelaiManage software complexity through deep modules, information hiding, and strategic programming. Use when the user mentions "module design", "API too complex", "shallow class", "complexity budget", "strategic vs tactical", "deep module", "information leakage", "pass-through method", "this code is over-engineered", or "simplify this design". Also trigger when reviewing an interface for simplicity, evaluating whether an abstraction is pulling its weight, deciding whether a comment is worth writing, or choosing between general-purpose and special-purpose approaches. Covers deep vs shallow modules, red flags for complexity, and comments as design documentation. For code quality, see clean-code. For architecture boundaries, see clean-architecture.★ 2.2k GitHub starsSkillActionable Metrics Guidewondelai/skills · by wondelaiMetrics are the language of validated learning. The wrong metrics create the illusion of progress while the startup drifts toward failure.…★ 2.2k GitHub starsSkillAdvertising Mediawondelai/skills · by wondelaiAdvertising media is the vehicle that carries your message to your target market. Choosing the right media is not about what is trendy — it…★ 2.2k GitHub starsSkillAffordance Designwondelai/skills · by wondelaiAn affordance is a relationship between an object and a person that determines how the object could possibly be used. A chair affords…★ 2.2k GitHub starsSkillLean UX in Agile Teamswondelai/skills · by wondelaiLean UX was designed to work inside Agile development teams, not alongside them. The central mechanism is dual-track agile, where a…★ 2.2k GitHub starsSkillAMP Framework Practitionerwondelai/skills · by wondelaiThis reference translates the AMP framework from theory into practice across six domains: product gamification, team management,…★ 2.2k GitHub stars