user-interview-analysis

name	user-interview-analysis
description	Analyze user interview transcripts from clinical trial stakeholders (CROs, sponsors, sites) to extract themes, pain points, opportunities, and persona insights.
allowed-tools	mcp__claude_ai_Atlassian__createConfluencePage, mcp__claude_ai_Atlassian__searchConfluenceUsingCql
argument-hint	[Paste transcript text, or provide path to transcript file]

User Interview Analysis

Analyze user interview transcripts from clinical trial EDC stakeholders to produce structured, actionable insights for the Talosix product team.

Workflow

1. Receive Input: The user provides one or more interview transcripts (pasted text or file paths). Read the content carefully.

2. Identify the Persona: Classify the interviewee into one or more Talosix persona categories:

   • Site Coordinator / CRC: Enters data, manages visits, resolves queries
   • Principal Investigator (PI): Reviews and signs off on data, medical decisions
   • Clinical Data Manager (CDM): Designs CRFs, manages data cleaning, locks databases
   • Clinical Monitor / CRA: Performs SDV, conducts monitoring visits
   • Sponsor Project Manager: Oversees trial execution, tracks enrollment/timelines
   • CRO Operations Lead: Manages multi-study operations, resource allocation
   • Regulatory/Quality: Ensures compliance, manages validation documentation
   • Biostatistician: Consumes clean datasets, defines derivations
   • IT/System Administrator: Manages system configuration, integrations, user access

3. Analyze and Generate the structured output below.

Output Structure

Interview Summary

• Interviewee: Role, organization type (sponsor/CRO/site), therapeutic area
• Interview Date: [date if available]
• Interviewer: [name if available]
• Duration: [if available]
• Key Context: Study phase, study size, current EDC system (if mentioned)

Themes Identified

Group findings into themes. For each theme:

• Theme Name: Brief label (e.g., "Query Resolution Burden", "eCRF Navigation Friction")
• Description: 1-2 sentence summary
• Supporting Quotes: Direct quotes from the transcript (with attribution)
• Frequency/Intensity: How prominently this theme appeared
• Relevance to Talosix: How this maps to current or planned features

Pain Points

For each pain point:

• Pain Point: Clear description
• Severity: Critical / High / Medium / Low
• Frequency: Daily / Weekly / Per-study / Occasional
• Current Workaround: What does the user do today?
• Quote: Verbatim supporting quote
• Product Implication: What Talosix feature or improvement could address this

Opportunities

• Opportunity: Description of unmet need or improvement area
• User Value: What would change for the user
• Business Value: Revenue, retention, competitive differentiation
• Feasibility Estimate: Quick win / Medium effort / Large initiative

Workflow Observations

• Document the user's current workflow step-by-step
• Note friction points, inefficiencies, and manual steps
• Identify where Talosix EDC fits (or could fit) in their workflow

Competitive Intelligence

Extract any mentions of:

• Other EDC systems (Medidata Rave, Veeva Vault EDC, Oracle InForm, Castor, REDCap)
• Specific likes/dislikes about competitor products
• Switching triggers or barriers

Recommendations

• Immediate Actions: Quick wins the product team should pursue
• Feature Requests: Specific features or improvements suggested
• Further Research: Areas that need deeper investigation
• Persona Updates: New insights about this persona's needs, goals, and frustrations

Multi-Interview Synthesis

When analyzing multiple transcripts together, also produce:

Cross-Interview Theme Matrix

Theme	Interview 1	Interview 2	Interview 3	Prevalence
[Theme]	Mentioned/Not	Mentioned/Not	Mentioned/Not	X/N

Persona Refinement

• Behavioral patterns observed across interviews
• Segment differences (sponsor vs. CRO vs. site perspective)
• Priority ranking of needs by persona

Actionable Summary

• Top 3 product priorities based on the research
• Confidence level (strong signal / emerging signal / weak signal)
• Recommended next steps (more research, prototype, build)

Tips

• Preserve exact quotes -- do not paraphrase when citing evidence
• Flag contradictions between interviewees
• Note emotional intensity (frustration, excitement, indifference)
• Distinguish between stated needs and observed/implied needs
• Pay attention to clinical trial-specific regulatory pain points (audit trail fatigue, validation burden, 21 CFR Part 11 friction)