For Product Teams
Continuous discovery for the other things.
You believe in talking to customers every week. You can't talk to customers about everything. The gap between the discovery practice you want and the one you have is mostly logistics. It limits discovery to the big items on your roadmap, at a time when the volume of the things you ship has exploded.
The new context
The world changed.
Has your process?
Production used to be the bottleneck. Claude Code, Cursor, Lovable and the rest just collapsed it. Your engineers can now ship five variants of a feature in the time it used to take to ship one. Your designers can prototype an entire flow in an afternoon. Your roadmap isn't constrained by what you can build anymore.
It's constrained by what you should build.
The cost of being wrong didn't go down when production got cheap. It went up. You can now be wrong five times in the time it used to take to be wrong once. And every wrong shipped becomes part of the AI-generated noise your customers are increasingly tuning out from.
Continuous discovery doesn't survive a world of cheap production unless you make the discovery loop just as cheap. Otherwise "test and learn" becomes "ship and hope," and the product team becomes a slop factory with a sprint cadence.
Faster time-to-revenue isn't faster shipping. It's faster correct shipping.
What Dilog does for product teams
Your discovery practice, extended.
Supplementing continuous discovery.
Taking the time to talk to a customer every week still matters, for the conversations that are crucial. Dilog supplements that effort, extending discovery across a wider scope of decisions and enabling rapid iteration where a full recruit isn't realistic. Six segments, six conversations, before Monday standup. Discovery run at the speed your roadmap actually moves.
Pressure-test the roadmap before the quarterly review.
You've got six bets. You can fund two. Which two? Dilog gives you defensible directional reads on each, with quotes, segment differences, and a "why" you can take to the exec table. Feasibility is still your call. Desirability has receipts.
Hone the concept before engineering starts.
Five product directions become two after a panel response. The two that make it to spec are the ones the panel has already given a directional signal on. Engineering effort goes into the version with the strongest segment resonance, not the version that won the loudest opinion in the room.
Validate the spec, not just the concept.
Most PRDs die in the gap between "users want this" and "users want this implemented this way." Test the flow, the copy, the edge case, the empty state. The decisions that never make it to the research backlog because they're too small to justify a recruit.
Hard-to-reach segments, on demand.
Lapsed customers. Churned users. High-value but low-frequency buyers. Try recruiting fifteen of them through Respondent next Tuesday and get back to us. Dilog has them waiting. Interviewed in depth once, available ongoing.
The 'why' your analytics can't tell you.
Amplitude says feature adoption stalled at 23%. Dilog tells you it's because the onboarding tooltip implied something users found patronising. Quantitative tells you where. Dilog tells you why. Pair them, don't choose.
Free your in-person research for the questions that deserve it.
Use Dilog for the 80% of product decisions that never get a research request. Save the customer-time budget for the strategic bet. The new vertical, the rebrand, the platform shift.
Why not synthetic users?
You've seen the ChatGPT-as-customer demos. You've probably been pitched a "synthetic persona" product in the last six months.
Synthetic personas are statistical averages dressed up as people. They tell you what the average of everyone thinks, which is the opinion of nobody in particular. They sound confident. They are frequently wrong. And there's no ground truth to compare against, so you can't tell when they're wrong until you've shipped and the data comes back ugly.
Dilog's ARPs are grounded in actual 2–3 hour interviews with your customers. Each ARP is evaluated against the real human's responses before it joins your panel, at 86% average accuracy. The depth, the contradictions, the irrational loyalties, the surprising deal-breakers. They're in the panel because they were in the conversation.
You can ground-truth an ARP. You can't ground-truth a synthetic.
The financial case
A balance sheet item, not a P&L line.
Most research spend disappears the moment the report lands. A Dilog panel works the opposite way. The setup is a one-time capital outlay against an asset that compounds. Year two is worth more than year one.
What you're replacing
A meaningful slice of recurring research line items. Concept-testing focus groups, ad-hoc qual studies, the "we need to check this with users" requests that bottleneck your sprint.
What you're enabling
Discovery on the 80% of decisions that currently get shipped on instinct. Roadmap conviction. The validation step you've been skipping because there wasn't time.
What being wrong currently costs you
50–80% of digital products fail to hit ROI. Most of that waste is avoidable with better, faster customer input.
How it works
From kickoff to live panel in 6–12 weeks.
From your priority customer segments through to a live, queryable panel — scoped to your product decisions and use cases.
Define
We work with you to identify 4–6 priority customer segments. Who matters most to the decisions your team actually needs to make.
Build
2–3 hour interviews with real customers from each segment. Every interview becomes an ARP, validated against the source responses before joining your panel.
Activate
Your panel goes live. Any team member can ask any scenario question — concept, copy, price, flow — and receive cohorted responses with supporting quotes.
Update
Quarterly recalibration sessions keep each ARP accurate as attitudes, behaviours, and market conditions shift.
Then continuous from there.
Your customers are ready to talk.
Bring a real roadmap decision to a 30-minute demo. We'll show you what your panel would say.
Ready to dive in? Start your free trial →