for Product Engineers

Dialog turns customer conversations into product direction

Dialog's AI agents will source relevant participants, interview them, and deliver actionable insights directly into your workflows.

We will run your first Dialog study for free.

Works where you build
Claude Cursor Lovable
Try it now: query 50 real interviews, live
Watch Dialog analyze every conversation in real time
Try the live demo
Participant Pool

Hundreds of thousands of
real people, on demand.

Skip the recruiting headache. Dialog gives you instant access to a massive, targetable participant pool. Define your criteria, launch your Dialog study, and have real conversations running within minutes.

200k+
Participants available
50+
Languages supported
Minutes
From launch to live interviews
New Participants from
GoogleAmazonMetaStanfordMITCarnegie Mellon

SWEs, PMs, Designers, Founders, Consumers, and more

The New Reality

Claude CodeCursorCodex
made building fast.
Knowing what to build is the new bottleneck.

01

Development cycles now greatly outpace research cycles.

02

Build speed without signal is just slop.

03

Traditional research takes weeks and costs thousands. You need answers in hours.

How It Works

From question to insight
in hours, not weeks

01

Describe what you want to learn

Tell Dialog your research question in natural language. Our AI designs a high-quality interview protocol automatically.

02

We find the right people

Target from our pool of 200k+ participants by demographics, role, industry, or behavior. Interviews start within minutes.

03

Query your data

Ask questions, get answers grounded in real conversations. Every insight is queryable, shareable, and actionable.

Dialog
New Dialog study

""

See what Dialog finds in your market.

We'll run a real Dialog study on your behalf. You bring the question, we bring the people and the analysis.

Get a personalized demo
Analysis Architecture

Why not just use
ChatGPT?

Pasting transcripts into an LLM works for 5 interviews. It falls apart at 50. Dialog's analysis engine was built from the ground up to maintain accuracy at scale.

The naive approach

One LLM call

0%
Processing all transcripts...
Context window Limited
Quality at scale Degrades
Missed nuance High
Dialog's approach

Distributed agents

0
0
0
0
0
0
0
0
0
0
0/10 agents complete 0%
Context window Unlimited
Quality at scale Consistent
Missed nuance Near zero
80-90%
Reduction in wasted processing

Hybrid RAG routes each query to only the relevant transcript segments.

10,000+
Interviews without quality decay

Architecture designed for tens of thousands of data points, every one queryable.

Per-interview
Structured transcript processing

Each conversation is architecturally structured for accurate retrieval, not dumped as raw text.

Platform Output

Beautiful reports.
Queryable intelligence.

Living documents, not static exports. Ask follow-up questions. Share components. Keep learning.

Reports

Auto-generated insights

Themes, sentiment analysis, and key quotes extracted automatically. Share a link or export to your tools.

Top Themes 52 responses
Willingness to pay
Unmet need in market
Switching barriers

"I'd pay for this tomorrow if it saved me from running another Google Form."

Query Engine

Ask your data anything

What are the top 3 unmet needs?
42 mentions across 89 interviews
Transcripts

Full conversation context

D

What's the biggest challenge you face?

P

Getting stakeholder buy-in for new tools...

Ready to talk to your market?

We will run your first Dialog study for free.

Use Cases

What teams use
Dialog for

01

Market Validation

"Is there demand for X?" answered in hours. Talk to your target market before you commit resources.

Typical turnaround
2 hours
02

Problem Exploration

Uncover pain points in any market. Dialog's adaptive interviews pull the thread on unexpected responses, surfacing insights surveys miss.

Typical sample
50+ people
03

MVP Validation

Test concepts and early ideas with real people before writing code. Get conviction on what to build and what to kill.

Data retention
Forever
Speed Advantage

The best research finishes before your next deploy.

Dialog was built for teams that ship fast and need signal faster.

Traditional
Dialog
Time to insights
2-4 weeks
2 hours
Interview capacity
5-10 per week
10,000+ parallel
Output format
Static PDF
Living query interface
Team required
UX researcher + PM
Anyone
Follow-up questions
Schedule new Dialog study
Query instantly

"We used to schedule research sprints quarterly. Now we validate ideas before standup the next morning."

PM
Product Manager AI-native startup
Get Started

Run your first
Dialog study free.

We will run your first Dialog study for free.