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Your Customers,
On Demand.

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.

  • 86% match with real responses
  • 8–12 wks to a live, queryable panel
  • 24/7 no scheduling required
The Reality

Understand your customers better than ever

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.

85%

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, 2011
50–80%

of 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, 2017
3–4

iterations 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", 2015
The Technology

what is a digital version?

We 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

A private panel of digital versions of your actual customers.

Available to your entire team, 24 hours a day, at a fraction of the cost of traditional research.

Real

Built from in-depth interviews with real customers, not synthetic guesses or averages.

Accurate

86%+ accuracy benchmarked against real human responses.

Always On

No scheduling, no incentives, no waiting. Ask at 11pm before a 9am board presentation.

Why it works

Traditional studies expire. Customer panels compound.

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.

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.

Dilog panels

  • Ask follow-up questions while the decision is still live.
  • Compare responses by segment, driver, and confidence.
  • Keep answers tied to interview evidence and validation notes.
The Process

From question to answer
in four steps

Your always-on customer intelligence panel, built and ready in 8–12 weeks.

Setup
01

Define

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.

02

Build

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.

Live
03

Activate

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.

04

Update

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.

The Honest Answer

Why not just ask ChatGPT or Claude?

with an LLM alone

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.

with Dilog

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.

why dilog?

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.

Use Cases

Built for all teams
to enhance customer context.

Some use cases cross every function; others are specific to how each team works.

For every team

Value prop testing

Get quick feedback on what customers find compelling from you and competitors before committing resources.

Message & content calibration

Gauge reactions across different customer segments without recruiting new participants.

Free up resource

Handle day-to-day validation in-panel so your team's bandwidth goes to higher-stakes work.

Product teams

Multimodal customer feedback

Rapid feedback on feature, product, and campaign variations.

Journey orchestration

Anticipate reactions to touchpoints and tailor experiences before you build.

Roadmap stress-testing

Find objections and edge cases before sprint planning locks direction.

UX research teams

Hard-to-reach participants

Build cohorts that stand in for groups that are impractical to recruit repeatedly.

Interview extension

Run follow-up questions on completed studies without a new recruit cycle.

Edge case & copy testing

Pressure-test UI language and micro-interactions against real customer logic.

Growth teams

New segment identification

Test responses against target personas; uncover similar patterns in new groups.

Personalisation

Compare panels to cohorts for improved recommendations and discovery.

Recommendation & search

Improve relevance by comparing panel feedback to wider cohorts.

Strategy teams

Segment decision analysis

Read decisions by segment, surface divergence and consensus.

Journey scenario planning

Anticipate downstream reactions before strategic pivots commit.

Qualitative evidence conversion

Turn interview context into reusable, queryable evidence for the business.

See it in action

Bring one live decision.

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.

  • Real customer reasoning, delivered in minutes
  • Session tailored to your decision and your industry
  • No prep required; one question is enough
  • Meet the team, see a live panel in action

No spam. One reply from the team.