MCP Best Practices — Getting the Most from Koji + Claude
Tips, patterns, and anti-patterns for using Koji MCP effectively. Learn how to write better prompts, choose methodologies, manage token budgets, and build efficient research workflows with AI.
Prompting Best Practices
Be Specific About Your Research Goal
Claude creates better studies when you give it context about your business situation.
Less effective:
"Create a study about user feedback"
More effective:
"Create a Mom Test study about why our trial-to-paid conversion rate dropped 15% last quarter. We think the onboarding flow is too complex but we want to validate this with actual users who recently churned."
The second prompt gives Claude enough context to generate a focused problem statement, relevant key questions, and a meaningful hypothesis to test.
Use Methodology Names
When you know what methodology fits, say it explicitly:
- "Use the Mom Test approach" — for validating ideas without bias
- "Apply Jobs-to-be-Done framework" — for understanding user motivations
- "Run a Customer Discovery study" — for exploring problem spaces
- "Set up an Exploratory study" — for open-ended research
- "Create a Lead Magnet study" — for research that doubles as lead gen
If you are unsure, just describe your goal and Claude will recommend one.
Ask for What You Actually Need
Instead of pulling everything and then filtering, be targeted:
| Need | Prompt |
|---|---|
| Quick status check | "How many completed interviews do I have?" |
| Theme overview | "What are the top themes from my study?" |
| Deep dive | "Show me the transcript from the interview with negative sentiment" |
| Stakeholder summary | "Generate a report and share the executive summary" |
| Specific section | "Get the recommendations section from my report" |
Study Design Best Practices
Start With a Hypothesis
Studies with a clear hypothesis produce more actionable results:
"Create a study to test whether users abandon checkout because of unexpected shipping costs. My hypothesis is that showing shipping estimates earlier would reduce cart abandonment by 20%."
This gives the AI interviewer a focused direction while still allowing for unexpected discoveries.
Keep Interview Plans Focused
The best MCP-created studies have:
- 3-5 core questions (not 15)
- Clear guardrails from the methodology
- A specific target audience defined
- An estimated duration of 10-20 minutes
Longer interviews lead to respondent fatigue and lower-quality insights.
Iterate Your Brief Before Publishing
Use the review flow:
- Create the study
- Ask Claude to review the interview plan
- Refine questions based on Claude's suggestions
- Publish only when the brief feels right
You cannot un-publish easily, so take the time to get the brief right.
Analysis Best Practices
Use Study Data Before Reports
koji_get_study_data gives you structured summaries that Claude can analyze conversationally. Use this for:
- Quick pattern spotting
- Hypothesis validation
- Identifying which interviews to deep-dive into
Reserve koji_generate_report for when you need a formal, shareable document.
Ask Claude to Cross-Reference
Claude shines at synthesis. Try:
"Compare the themes from my pricing study with the themes from my onboarding study. Are there any overlapping pain points?"
"Looking at the sentiment breakdown, which respondent segments are most dissatisfied? What do they have in common?"
Use Section Filtering for Reports
For large reports, request specific sections to keep responses focused:
"Just show me the key takeaways and recommendations from my report"
This is more useful than pulling the entire report and scrolling through it.
Workflow Patterns
The Quick Pulse Check (2 minutes)
"How are my active studies doing? Show me any new completed interviews since yesterday."
The Stakeholder Prep (5 minutes)
"Generate a report from my onboarding study and give me the top 3 takeaways I should present to the leadership team."
The Research Sprint (30 minutes)
1. "Create a discovery study about [topic]"
2. "Customize the landing page with our brand colors and a lead form"
3. "Import these 50 contacts from our CRM"
4. [Wait for interviews]
5. "Analyze the results and generate a publishable report"
The Continuous Discovery Loop (Weekly)
Monday: "Any new interviews this week? Summarize the key themes."
Wednesday: "Show me transcripts from the 2 most insightful interviews."
Friday: "Update my report with the latest interview data."
Common Anti-Patterns
❌ Creating Too Many Studies
Each study should answer one research question. Do not create a study for every feature idea — group related questions into a single study with the right methodology.
❌ Skipping the Brief Review
Publishing a study without reviewing the interview questions leads to unfocused conversations and low-quality insights. Always review before you publish.
❌ Reading Every Transcript
Use summaries and theme analysis for pattern detection. Only deep-dive into transcripts when you find something worth exploring.
❌ Generating Reports Too Early
Wait until you have at least 5 completed interviews. Reports from 1-2 interviews will not show reliable patterns.
❌ Overloading Lead Forms
Keep pre-interview forms to 2-3 fields. Every additional field reduces completion rates.
Token Budget Tips
MCP responses are constrained by context window size. Here are strategies for efficient use:
- Use section filters when getting reports — request only the sections you need
- Paginate exports — transcripts are limited to 10 per request for a reason
- Use study data instead of individual transcripts for overview analysis
- Ask specific questions rather than requesting "everything"
Next Steps
- Tool Reference — Detailed parameter reference
- PM Workflow Guide — Role-specific workflow
- Continuous Discovery — Always-on research pipeline
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