Built for Founders

Turn customer discovery interviews into clear product decisions

Virgil Dashboard

Why Founders Use Virgil

Move from raw transcripts to clarity in minutes

Let AI extract patterns, quotes, and insights instantly.

Spot real user problems faster

See themes across interviews without manual searching.

Validate ideas without scheduling more calls

Use Virtual Panels to test new questions against past data.

Make confident product decisions

Know what matters before you commit.

Used by founders from MIT, Harvard, and beyond

One platform for the entire discovery workflow

Plan interviews, organize transcripts, surface insights, and pressure test ideas in one place.

Prepare

Research

Analyze

Explore

01

HOW IT WORKS

Prepare

Plan sharper interviews in minutes. Generate custom discussion guides tailored to your research questions.

Founders struggling to organize and analyze user interview data
1.

Walk me through how you currently organize interview transcripts and notes. What tools or systems do you use?

2.

What's the most time-consuming part of analyzing interview data? Where do you spend most of your time?

3.

How do you currently identify patterns or themes across multiple interviews? Is this a manual process?

4.

When you need to find a specific quote or insight from past interviews, how do you go about finding it?

5.

How do you present interview findings to stakeholders? What format do they expect?

6.

What would make your interview analysis workflow significantly faster or more effective?

02

HOW IT WORKS

Research

Turn raw transcripts into structured data instantly. Upload conversations and get quotes, themes, patterns, and quantitative evidence without manual work.

03

HOW IT WORKS

Analyze

See what matters across every interview. Surface pain points, validate patterns, quantify signals, and ask follow-up questions directly from your data.

Executive Summary

Core Challenge

Founders across all interviews struggle with data fragmentation and manual processes. The primary bottleneck is spending 40% of discovery time on data organization rather than strategic analysis. This manual work prevents founders from focusing on insights and pattern recognition that drive product decisions.

Key Findings

All founders interviewed (5 total) report difficulty quickly locating quotes or patterns across interview transcripts, with manual searching consuming significant time during stakeholder presentations. Additionally, 80% mention spending 3-4 hours per interview on transcription and organization alone. The lack of quantitative evidence makes it challenging to present compelling cases to stakeholders.

Primary Opportunities

Automated extraction tools could reduce analysis time by 60-70%, allowing founders to focus on synthesis and strategic decision-making rather than manual data processing. A unified searchable database would enable faster pattern recognition, while quantitative tracking would provide evidence-based insights for stakeholder presentations. Faster analysis workflows would enable founders to conduct twice as many interviews in the same timeframe.

Recommendation

The data strongly suggests that founders would benefit significantly from automated interview analysis tools that reduce manual work and provide instant access to structured data, quantitative evidence, and pattern recognition capabilities.

7

Total Pain Points

4 High, 3 Medium

7

Total Opportunities

5 High, 2 Medium

04

HOW IT WORKS

Explore

Pressure-test your ideas at any time. Build personas, explore opportunity maps, and run virtual panels powered by your own interviews.

What are Virtual Panels?

Test new questions against your past interviews instantly. Virtual Panels simulate responses based on the real conversations you have already run, letting you validate ideas without scheduling more calls.

Powered by your interview database • Responses grounded in real customer data • Instant answers to test new hypotheses

Testing a New Question

Your Question:

"How would automated reporting impact your workflow?"

Simulated responses from 5 existing interviews:

Based on Sarah Chen's interview

It would save me 5-6 hours per week. I could focus on strategic analysis instead of data entry.

Based on Marcus Thompson's interview

The time savings alone would justify the tool. Currently drowning in manual processes.

Based on Priya Patel's interview

I'd be able to do twice as many interviews if analysis was automated. Speed is everything.

Simple, founder-friendly pricing

Start free, upgrade when you're ready

Free

Perfect for trying
$0/month

5 interviews per month

Enough to test the waters

1 project

Organize your interviews

Basic analysis

Quotes, pain points, opportunities, insights per interview

Free research simulation tool

Generate personas, simulate interviews, and discover insights before real research

Search & filter

Find insights within interviews

Not included:

  • Cross-interview synthesis
  • Persona extraction
  • Process maps
  • Excel export
MOST POPULAR

Pro

$29/month

Everything in Free, plus:

25 interviews per month

2-3 research projects per quarter

5 projects

Organize multiple research areas

Synthesis & theme clustering

See patterns across all interviews

Persona extraction

AI-powered persona generation

Process maps

Visualize customer journeys

Discussion guide generation

AI generates interview questions

Excel export

Share insights with stakeholders

Need more? $3/interview after your monthly limit

No credit card required • Cancel anytime

Ready to turn interviews into action?

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