For Insights Leaders
Your function, with more capacity for the work that matters.
Your team is the steward of customer truth in the organisation. You also field every research request that comes through the door, including the ones that don't justify the methodology your team is trained to run.
The new context
The world changed.
Has your process?
The volume of research requests has gone up. The strategic value of the average request has gone down.
Generative AI accelerated production across every function in your organisation. Product is shipping more variants. Marketing is testing more concepts. CX is iterating more flows. Every one of those teams is generating questions faster than your function can possibly absorb them through traditional methodology. The result is predictable. Stakeholders either go around you, ship without research, or wait for a window that never opens.
Meanwhile the work that actually deserves your team's methodological depth — the segmentation refresh, the brand equity study, the strategic narrative work — gets crowded out by the long tail of tactical requests.
The bottleneck moved. It isn't research methodology anymore. It's research capacity in a market where production has stopped being the constraint.
What Dilog does for insights leaders
Your discovery practice, extended.
Hone stakeholder requests before they reach your team.
Product, marketing, and CX teams currently come to Insights with first-draft questions and half-formed hypotheses. Dilog lets them refine their thinking against a panel before they brief your team. The research requests that do reach you are sharper, better-scoped, and aimed at the strategic questions your methodology is built for. Your team spends less time fixing briefs and more time answering meaningful questions.
Reclaim capacity for strategic research.
Tactical questions — concept-testing for the third tier of campaigns, microcopy validation, single-variant decisions — currently consume time that should go to segmentation, brand health, and strategic narrative work. Dilog absorbs the tactical layer. Your team's calendar opens up for the work that compounds.
Extend the panel to functions that don't have research budget.
Most of your stakeholder organisations have research-curious teams who can't afford the methodology your team runs. Dilog gives those teams a controlled, validated channel to ask customer questions without bypassing your function. You own the panel. You set the guardrails. They get the capability.
A panel asset that lives in your function, not theirs.
The Dilog panel is owned by the Insights function. Stakeholder teams access it through governance you define. The methodology is yours to validate. The standards for ARP construction, segment definition, and ongoing recalibration sit with you. Other vendors sell panels to marketing or product directly, which fragments customer truth across the organisation. Dilog is structured to consolidate it under Insights.
Methodological transparency, not a black box.
Every ARP is built from a 2–3 hour interview with a real customer. Each ARP is evaluated against the real human's actual responses before joining the panel, at 86% average accuracy, measured against benchmark responses. The methodology is documented, the validation is reproducible, the limits are stated honestly. You can interrogate any answer back to the underlying interview material that generated it.
A complement to your existing methodology stack.
Dilog doesn't replace ethnographic research, longitudinal panel work, or the strategic qual studies your team commissions. It sits alongside them. Use Dilog for the questions where speed matters more than methodological depth, and reserve traditional methodology for the questions where depth is the point. The function gets sharper at choosing which method fits which question.
Why this isn't synthetic respondents
You've seen the wave of "AI persona" and "synthetic respondent" products. So has your team. The methodological objection is correct and well-founded.
Synthetic respondents are statistical models trained on public data, often dressed up as personas to feel relatable. They produce confident, plausible, generic responses that flatten exactly the variation that makes a customer segment worth studying. There is no ground truth to validate against, no underlying interview to interrogate, no methodology a research professional can interrogate. They are confident hallucinations.
Dilog is the opposite methodology. Every ARP is grounded in an actual deep interview with an actual customer. Every ARP is benchmarked against that customer's real responses before joining the panel. Quarterly recalibration tests the ARP against the original human as their attitudes evolve. The methodology is interview-first, evaluation-rigorous, and transparent. It is what synthetic respondents claim to be, built the way a research function would build it if a research function were building it.
If your team would never sign off on synthetic respondents, they shouldn't. Dilog is a different category, built to a standard your function can stand behind.
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 portion of the project-based qual spend on tactical questions that don't justify full methodology. A portion of recruiter and incentive overhead. A portion of the agency partner spend on quick-turn concept work.
What you're enabling
Research-on-demand for stakeholder functions that currently ship without it. A first-pass layer that sharpens the briefs that do reach your team. Capacity recovery for the strategic work only your function can do.
What being wrong currently costs you
Stakeholder teams going around Insights to make customer-facing decisions without your input. The strategic work that gets cancelled because the tactical backlog crowded it out. The credibility cost when a campaign or product ships without research and fails publicly or visibly.
How it works
From kickoff to live panel in 6–12 weeks.
The setup phase is collaborative. Your team defines segments, validates ARP construction, sets methodology standards, and signs off on accuracy benchmarks. Dilog operates inside the standards your function sets.
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.
Speak with our team.
A 30-minute conversation about methodology, governance, and how the panel sits inside your existing research stack.
Ready to dive in? Start your free trial →