Customer Research
npx machina-cli add skill zircote/sigint/customer-research --openclawCustomer Research
Overview
Customer research systematically gathers insights about target users to inform product and market decisions. This skill covers methodologies for understanding customer needs, behaviors, and preferences.
Research Types
Quantitative Research
- Surveys and questionnaires
- Usage analytics
- A/B testing results
- Market share data
- NPS/satisfaction scores
Qualitative Research
- Customer interviews
- Focus groups
- Observation studies
- Support ticket analysis
- Review mining
Persona Development
Core Elements
Demographics
- Age range
- Job title/role
- Industry
- Company size
- Location
Psychographics
- Goals and motivations
- Pain points and frustrations
- Decision-making style
- Information sources
- Technology comfort
Behaviors
- Current solutions used
- Buying process
- Key triggers
- Evaluation criteria
Persona Template
## [Persona Name]
### Profile
- **Role**: [Job title]
- **Company**: [Size, industry]
- **Experience**: [Years in role]
### Goals
1. [Primary goal]
2. [Secondary goal]
3. [Tertiary goal]
### Pain Points
1. [Major frustration]
2. [Secondary frustration]
3. [Minor annoyance]
### Quote
"[Representative statement capturing mindset]"
### Buying Behavior
- **Trigger**: [What prompts search]
- **Research**: [How they evaluate]
- **Decision**: [Who/what influences]
- **Timeline**: [Typical cycle length]
### Preferred Channels
- [Channel 1]
- [Channel 2]
Jobs-to-be-Done Framework
Focus on what customers are trying to accomplish:
Functional Jobs
- Core task to complete
- Measurable outcomes desired
Emotional Jobs
- How they want to feel
- Social perception goals
Related Jobs
- Before/after the core job
- Supporting tasks
JTBD Statement Format
"When [situation], I want to [motivation], so I can [expected outcome]."
Example: "When I'm preparing a market analysis, I want to quickly find reliable data, so I can make confident recommendations to leadership."
Customer Journey Mapping
Journey Stages
-
Awareness
- How do they discover they have a need?
- What triggers the search?
-
Consideration
- What options do they evaluate?
- What criteria matter most?
-
Decision
- Who influences the choice?
- What tips the decision?
-
Purchase
- What friction points exist?
- What enables conversion?
-
Onboarding
- First experience expectations
- Success metrics
-
Retention/Advocacy
- What drives continued use?
- What triggers referrals?
Journey Map Template
| Stage | Actions | Thoughts | Emotions | Pain Points | Opportunities |
|---|---|---|---|---|---|
| Awareness | |||||
| Consideration | |||||
| Decision | |||||
| Purchase | |||||
| Onboarding | |||||
| Retention |
Data Collection Methods
Interview Framework
Opening (5 min)
- Build rapport
- Explain purpose
- Get permission to record
Current State (15 min)
- Walk me through your typical workflow
- What tools do you use?
- What's working well?
Pain Points (15 min)
- What's most frustrating?
- Tell me about a recent challenge
- What would make your life easier?
Ideal State (10 min)
- If you could wave a magic wand...
- What would success look like?
- How would you measure it?
Closing (5 min)
- Anything else to add?
- Can I follow up?
- Referrals?
Review Mining
Extract insights from:
- G2, Capterra, TrustRadius
- App store reviews
- Reddit discussions
- Twitter/social mentions
- Support forums
What to look for:
- Repeated complaints
- Feature requests
- Competitor comparisons
- Use case descriptions
- Emotional language
Segmentation
Segmentation Criteria
Demographic: Company size, industry, role Behavioral: Usage patterns, buying frequency Needs-based: Problem severity, sophistication Value-based: Revenue potential, strategic fit
Segment Prioritization
| Segment | Size | Need Intensity | Accessibility | Competition | Priority |
|---|---|---|---|---|---|
| [Name] | S/M/L | H/M/L | H/M/L | H/M/L | 1-5 |
Output Structure
## Customer Research Summary
### Key Segments
1. [Segment 1]: [Description, size]
2. [Segment 2]: [Description, size]
### Personas
[Persona summaries]
### Jobs-to-be-Done
1. [Core job]
2. [Supporting job]
### Journey Insights
- **Awareness**: [Key finding]
- **Consideration**: [Key finding]
- **Decision**: [Key finding]
### Pain Points (Ranked)
1. [Most severe]
2. [Second]
3. [Third]
### Opportunities
1. [Unmet need 1]
2. [Unmet need 2]
### Trend Indicators
- Customer sophistication: INC/DEC/CONST
- Willingness to pay: INC/DEC/CONST
- Switching propensity: INC/DEC/CONST
Best Practices
- Talk to actual customers, not just internal assumptions
- Include churned customers and non-customers
- Distinguish between stated and revealed preferences
- Update research regularly (behaviors change)
- Quantify qualitative insights where possible
Additional Resources
For detailed frameworks, see:
references/interview-guide.md- Interview techniquesreferences/persona-examples.md- Sample personasexamples/journey-map.md- Complete journey map
Source
git clone https://github.com/zircote/sigint/blob/main/skills/customer-research/SKILL.mdView on GitHub Overview
Customer research systematically gathers insights about target users to inform product and market decisions. It covers quantitative methods like surveys and analytics, qualitative methods like interviews and focus groups, plus personas, JTBD, and journey mapping to connect needs with decisions.
How This Skill Works
Technically, you collect both quantitative data (surveys, analytics, NPS) and qualitative data (interviews, focus groups, review mining). You then translate findings into personas (with Demographics, Psychographics, Behaviors), define JTBD statements, and build a journey map to connect needs to touchpoints and metrics.
When to Use It
- When you need to understand customers, build user personas, or define buyer needs
- When conducting customer discovery, voice of the customer, or segmentation work
- During buyer journey mapping to identify triggers and decision factors
- When analyzing buying behavior and prioritizing features through JTBD
- When planning data-driven product decisions using research methods and reviews
Quick Start
- Step 1: Define research goals and choose mixed methods (quantitative + qualitative)
- Step 2: Collect data via surveys, interviews, analytics, and review mining
- Step 3: Synthesize findings into personas, JTBD, and a journey map; share with stakeholders
Best Practices
- Use a balanced mix of quantitative and qualitative data
- Ground personas in Demographics, Psychographics, and Behaviors
- Define JTBD statements to focus on core tasks and outcomes
- Map the full customer journey to connect needs with touchpoints
- Incorporate review mining and support data for real-world signals
Example Use Cases
- A SaaS product team runs surveys and interviews, creates 3 personas, and JTBD statements
- An e-commerce app maps Awareness to Purchase, identifying friction points in checkout
- A fintech startup uses NPS and usage analytics to segment customers by value and needs
- A marketplace analyzes app store reviews to prioritize feature improvements
- Support tickets are analyzed to surface top pain points and quick wins