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Use Case Examples

Here are real examples of how you can use Agent Interviews MCP in your daily work. Just ask Claude naturally - it'll figure out which tools to use.

Use Case 1: Analyzing Interview Sentiment Across a Project​

Scenario: You want to understand overall sentiment from all interviews in a research project.

What you'd ask Claude:

"Analyze the sentiment across all interviews in my customer satisfaction project. 
Find common themes and show me which interviews had the most positive feedback."

What happens: Claude uses the search and list tools to find all interviews in your project, retrieves transcripts, and analyzes sentiment patterns. You get a summary with key themes and highlights.

Follow-up questions you might ask:

  • "Show me the specific quotes about pricing concerns"
  • "Which interviews mentioned the mobile app?"
  • "Get me the full transcript for the most positive interview"

Use Case 2: Monitoring Recruitment Campaign Progress​

Scenario: You launched a recruitment campaign and want to track how many participants have completed interviews.

What you'd ask Claude:

"Check the status of my recruitment campaign for the product feedback interviewer. 
How many participants have completed interviews out of the 50 we're targeting?"

What happens: Claude checks the audience status, counts completed interviews, and gives you real-time progress. You see how many spots are filled and how many are still available.

Follow-up questions:

  • "When did the last interview complete?"
  • "Show me the details for all completed interviews"
  • "What's the average interview duration so far?"

Use Case 3: Creating and Publishing a New Interviewer​

Scenario: You need to set up a new AI interviewer for a research study.

What you'd ask Claude:

"I need to create a new interviewer for customer onboarding feedback. 
It should focus on understanding first-time user experiences, be in English, 
and allow anonymous responses. Then publish it so participants can access it."

What happens: Claude creates the interviewer with your specifications, links it to your project, and publishes it. You get the shareable link and can start recruiting participants.

Follow-up:

  • "What's the shareable link for this interviewer?"
  • "Create an audience for 30 participants"
  • "Get a recruitment quote from Prolific"

Use Case 4: Finding Insights Across Multiple Interviews​

Scenario: You've completed dozens of interviews and want to find patterns without reading every transcript.

What you'd ask Claude:

"Search through all my interviews from the last month and find every mention 
of 'checkout process' or 'payment issues'. Show me which interviews mentioned 
these and pull out the relevant quotes."

What happens: Claude searches across all your interview transcripts, finds matches, retrieves the specific interviews, and extracts relevant quotes. You get a summary with links to the full interviews.

Follow-up:

  • "Show me the full transcript for interview_xyz that mentioned payment issues"
  • "What other common problems came up in these interviews?"
  • "Create a report analyzing these checkout process mentions"

Use Case 5: Setting Up a Complete Research Study​

Scenario: You're starting a new research project from scratch and need to set everything up.

What you'd ask Claude:

"I'm starting a new research project about mobile app usability. 
Create a project called 'Mobile App Usability Q1 2025', then create an 
interviewer focused on understanding user pain points with the app. 
Make it anonymous and set it up for English speakers."

What happens: Claude creates the project, sets up the interviewer with your specifications, and gets everything ready. You can then ask it to create audiences, get recruitment quotes, or publish the interviewer.

Next steps you might ask:

  • "Now create an audience for 50 participants"
  • "Get me a Prolific quote for US-based participants aged 18-45"
  • "Publish this interviewer and give me the shareable link"

Tips for Best Results​

Be specific about what you want

  • Good: "Show me interviews from last week about pricing"
  • Less clear: "Get interviews"

Ask follow-up questions

  • Claude remembers context, so you can build on previous questions
  • "Now show me the details for that interview"
  • "What else did participants say about that?"

Use natural language

  • You don't need to know tool names or technical details
  • Just describe what you're trying to accomplish
  • Claude handles the rest

Combine operations

  • You can ask for multiple things at once
  • "Create a project, set up an interviewer, and get me a recruitment quote"

These examples show how MCP makes your research workflow smoother. Instead of switching between tools and interfaces, you can manage everything through conversation with Claude.