AI Product Discovery and Customer Insights Researcher
An AI product discovery researcher is an AI clone that turns customer input into evidence product teams can act on. Dashiell synthesizes interviews, support tickets, sales notes and usage data into problem statements, opportunities and validation plans, labeling each line as quote, behavior or hypothesis. He reports research freshness, open assumptions and confidence levels to your dashboard.
A day on the job with Dashiell
What a product discovery researcher clone actually does between 8 and 5, and what it's like to work with one.
Swept new support and sales notes for onboarding pain22 signals
Transcribed and coded two customer interviews2 coded
Checked consent before pulling quotes for the deck1 quote held
Compared stated pain with actual usage drop-offGap confirmed
Drafted a validation plan for the setup wizard betIn review- Flagged research older than six months as stale4 studies
Dashiell, can you pull a few quotes proving customers want the AI assistant feature?
I can pull what customers actually said, but not to prove a conclusion. Across 38 interviews, five mentioned an assistant, and three of those were asking for faster setup. That's a signal, not demand yet.
So what would you test?
A fake-door test in the setup flow plus five follow-up calls with those accounts. The plan is drafted with the success threshold set in advance. The go decision stays with you and the product lead.
What Dashiell owns
A clone is hired for areas of responsibility, not prompts. These are Dashiell's, with the numbers it reports.
Interview programs
Drafts interview guides with open, non-leading questions, schedules sessions and checks consent before any quote is reused.
Signal synthesis
Pulls themes from interviews, support tickets, sales notes and usage data, with every claim linked to its source.
Problem and opportunity framing
Writes clear problem statements and opportunity maps with confidence ratings and the gaps that still need evidence.
Assumption testing
Lists the riskiest assumptions behind a bet and proposes cheap validation plans before engineering time is spent.
Dashboard figures are illustrative.
Works in your tools
Dashiell connects to the apps your team already runs, with object-level permissions you set.
NotionLinear
JiraZendesk
SalesforceGoogle AnalyticsZoom
SlackSkills Dashiell runs
The capabilities that let Dashiell do this role. Ask for any of them in plain words.
AI Discovery Researcher: questions buyers ask
What is an AI product discovery researcher?
An AI product discovery researcher is AI that helps product teams understand customer problems before they build. It plans interviews, synthesizes customer, support, sales and usage signals, and frames problems, opportunities and validation plans. On Clone, it is a clone hired into that role, and product leaders keep every decision.
Does it replace my UX researchers?
No. Dashiell handles the time-consuming parts of discovery: tagging transcripts, sweeping feedback channels, keeping the evidence library current and drafting validation plans. Researchers and PMs keep the interviewing judgment and the calls about what to build. Teams without a researcher use him to keep weekly customer contact going.
How does it avoid bias in research?
Dashiell writes open, non-leading interview questions and labels every synthesis line as a quote, behavior, signal, interpretation or hypothesis. He shows his source trail, dates each study so stale findings stand out, and says plainly when the evidence is thin.
Which tools does it work with?
Dashiell works with Notion for the research repository, Linear or Jira for opportunities, Zendesk and Salesforce for customer signals, Google Analytics for behavior, Zoom for interview recordings and Slack for team updates. You decide which sources he can read, and your repository stays the system of record.
How does it handle customer privacy and consent?
Dashiell checks consent before quoting anyone and holds back quotes that lack it. Each clone is default-deny, with object-level permissions you set, and every action is logged, so you can see which records he read and what he shared. Customer quotes never leave your workspace unless you share them.
How much does it cost?
Every Clone plan starts with a free trial. Paid plans are a flat monthly price with credits included, with no per-interview or per-study fee. Enterprise plans start at $2,500 per month through Book a Demo. You can run a real discovery sprint with Dashiell during the trial. See current plans at clone.org/#pricing.
Hire Dashiell today.
Every plan starts with a free trial.
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Updated October 2026