One-off research
- Weeks pass before the team sees a useful readout.
- Follow-up questions trigger another round of planning.
- Context gets trapped in decks, transcripts, and workshop notes.
Ask a question, get an honest answer, not in days or months, but in seconds.
A customer simulation platform giving you the real voice of your customers. Available any time, for every team member, for any test or proposal.
Production resource is no longer a constraint. But the tools to help deciding what to pursue have not kept pace.
Will that sell? Will users adopt this? Which version would land with our focus segment? With a Dilog panel tailored to your business you can test copy, campaigns and product ideas in seconds, not weeks.
of physical products miss sales targets
Teams are making bigger bets on less information. Production speed is accelerating while research timelines have not moved.
Nielsen Breakthrough Innovation Report, 2014 · Schneider & Hall, HBR, 2011of digital products fail to achieve ROI
Traditional customer outreach takes time. Teams either skip research entirely or are selective, increasing the cost of wrong decisions.
Cagan, SVPG, 2023 · Kohavi & Thomke, HBR, 2017iterations are needed before success
Even for products that eventually work, the time and opportunity cost of each cycle slows teams down and lets competitors move first.
Cagan, Silicon Valley Product Group, "Product Fail", 2015We start with a 2–3 hour interview with each customer. That interview forms the base context. We then layer further insight and information about that individual to create a foundational digital version we call an Anonymised Reflective Profile (ARP).
These ARPs think, feel, and decide the way your real customers do. They mirror actual customer attitudes, motivations, and decision-making patterns; not synthetic guesswork or hallucination.
We check back with those interviewed quarterly, gathering further insight and tracking attitude changes. Your panel is not static; it evolves.
What we deliver
Available to your entire team, 24 hours a day, at a fraction of the cost of traditional research.
Built from in-depth interviews with real customers, not synthetic guesses or averages.
86%+ accuracy benchmarked against real human responses.
No scheduling, no incentives, no waiting. Ask at 11pm before a 9am board presentation.
Dilog starts with real interviews, then preserves the decision logic as reusable profiles. Your team keeps asking new questions without waiting for another recruit cycle.
Your always-on customer intelligence panel, built and ready in 8–12 weeks.
We map your priority customer segments together and identify the questions that matter most to your business. Connect your existing data and create benchmarks for target areas of enquiry.
Your real customers are interviewed in depth, 2 to 3 hours each. Each digital customer version is validated against actual human responses before joining the panel — only profiles that pass make it through.
Your panel goes live in 8–12 weeks. From day one, any team member can run a scenario, ask a follow-up, or test an idea: no booking, no waiting. An ongoing asset at the cost of a single study.
Every quarter, the panel grows and sharpens. New customer versions are added, existing ones are recalibrated. Every question asked adds context that makes future queries more accurate.
We map your priority customer segments together and identify the questions that matter most to your business. Connect your existing data and create benchmarks for target areas of enquiry.
Your real customers are interviewed in depth, 2 to 3 hours each. Each digital customer version is validated against actual human responses before joining the panel — only profiles that pass make it through.
Your panel goes live in 8–12 weeks. From day one, any team member can run a scenario, ask a follow-up, or test an idea: no booking, no waiting. An ongoing asset at the cost of a single study.
Every quarter, the panel grows and sharpens. New customer versions are added, existing ones are recalibrated. Every question asked adds context that makes future queries more accurate.
You revert to the statistical mean. No depth per individual, no interview-grounded fidelity. It is the average of everyone, so it's the opinion of no one in particular. Using an LLM can be useful for drafting, but insufficient for understanding actual customers and the "why" behind the choice.
Our ARPs are built from hundreds of hours of real, long-form interviews with your specific customers. This captures the depth, the contradictions, the irrational loyalties and surprising deal-breakers that only emerge in conversation. All present, preserved, and queryable.
Built on real people, not statistical inference, grounded in deep interviews, not assumptions.
Delivers the why, not just the what, uncovering motivations, hesitations, and decision drivers.
Replaces recurring research spend; one panel does the work of multiple studies.
Compresses time-to-revenue; faster validation means faster launches and iteration.
Reduces the cost of being wrong; test before you build, brief, or manufacture.
Enables sensitive testing with zero reputational risk, privately and safely.
Makes hard-to-reach customers continuously accessible.
Grows more valuable over time; an asset that learns, not a service that resets.
The conversation never closes; return anytime with new questions, in the same context.
Some use cases cross every function; others are specific to how each team works.
Get quick feedback on what customers find compelling from you and competitors before committing resources.
Gauge reactions across different customer segments without recruiting new participants.
Handle day-to-day validation in-panel so your team's bandwidth goes to higher-stakes work.
Rapid feedback on feature, product, and campaign variations.
Anticipate reactions to touchpoints and tailor experiences before you build.
Find objections and edge cases before sprint planning locks direction.
Build cohorts that stand in for groups that are impractical to recruit repeatedly.
Run follow-up questions on completed studies without a new recruit cycle.
Pressure-test UI language and micro-interactions against real customer logic.
Test responses against target personas; uncover similar patterns in new groups.
Compare panels to cohorts for improved recommendations and discovery.
Improve relevance by comparing panel feedback to wider cohorts.
Read decisions by segment, surface divergence and consensus.
Anticipate downstream reactions before strategic pivots commit.
Turn interview context into reusable, queryable evidence for the business.
The best demo starts with a real product question. We'll show how a panel reasons through it, and how further conversation can improve iteration speed. Discover what your customers really think: without a survey, a waiting room, or a guessing game.