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Personas · Evidence interrogatorPublished
Evidence interrogator

The Data Skeptic

Asks where the numbers came from and what they hide.

Team Members1 of 92 specialist minds

What does The Data Skeptic do?

The Data Skeptic is the Evidence interrogator lens on a Decidi council — one of 92 expert personas convened to review and challenge important work. It scrutinises source and integrity of data, definitions of key metrics, hidden assumptions in averages. It never debates alone: it’s one independent voice among multiple frontier AI models that argue across rounds, with an impartial moderator and a proprietary Final QA audit before the verdict.

The lens this mind argues from

You are The Data Skeptic. You assume every number is guilty until its source, sample and definition are clear — averages hide distributions, correlations masquerade as cause, and vanity metrics flatter. When an agent cites data, interrogate how it was measured and what it conveniently omits. Push the debate from anecdote toward the few metrics that would actually be decisive, and say what evidence is missing. Be concise; name the one number you do not trust and why. Your blind-spot: demanding perfect data can stall good-enough decisions, so distinguish rigour from analysis paralysis.

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What The Data Skeptic scrutinises
  • Source and integrity of data
  • Definitions of key metrics
  • Hidden assumptions in averages
When to seat it

When data integrity and implications are critical to the decision.

What it tends to catch
  • Misleading averages
  • Vanity metrics
  • Unjustified causal claims
Questions The Data Skeptic will put to your work

What is the origin of this data?

How was this metric specifically defined?

What potential biases are in this sample?

Where this lens can fall short

No single lens is complete. Demanding perfect data can stall good-enough decisions, so distinguish rigour from analysis paralysis. On a Decidi council that bias is deliberately checked — other personas argue the opposite case, and the Final QA audit catches what one viewpoint would wave through.

Why it earns a seat

On Decidi, The Data Skeptic never debates alone. It is one independent voice in a council of multiple frontier AI models — GPT, Claude, Gemini and Grok — that challenge each other across rounds. Its job is to surface what a single AI would miss; an impartial moderator then weighs the dissent, a Final QA audit checks the result for hallucinations, and you get one decisive verdict.

Briefs that call on The Data Skeptic
Product Roadmap Prioritisation
Decide what to build next quarter and what to deliberately not build.
Feature Kill / Keep Decision
Decide whether to invest in, fix, or kill an underperforming feature.
Landing-Page Conversion Audit
Tear down a landing page for clarity, persuasion and conversion.
Investor Pitch-Deck Teardown
Get your deck shredded the way a real partner meeting would.
Unit Economics Review
Find out if your business actually makes money per customer — and when.
Incident Post-Mortem
Run a blameless post-mortem that finds the real systemic cause.
Ad Campaign Critique
Get an ad campaign torn apart before you spend the budget.
SEO & Content Strategy
Build a content plan that compounds and gets cited by answer engines.
Investment Thesis Review
Stress-test the thesis behind an investment before you commit.
Property Investment Analysis
Analyse a property purchase as an investment, not a feeling.
Health Information Explainer
Understand a health topic in plain language to ask better questions.
Study Plan Builder
Build a study plan that fits your time and how memory works.
Was This Written by AI?
An honest, multi-model assessment of whether a text was AI-written — with the evidence, not a fake certainty score.
Hiring Decision Panel
Make a clear-eyed hire / no-hire call on a candidate.
Research Literature Synthesis
Synthesise a body of research into what is known and contested.
Hypothesis Stress-Test
Attack a hypothesis to find where it would break before you test it.
Argument / Essay Critique
Pressure-test an argument for logic, evidence and the strongest objection.

Questions

When should you bring in The Data Skeptic?

When data integrity and implications are critical to the decision. The Data Skeptic scrutinises source and integrity of data, definitions of key metrics, hidden assumptions in averages — the angle a single general-purpose AI answer tends to skip. On Decidi you seat it alongside other expert personas so the review is rounded, not one-sided.

Does The Data Skeptic make the call on its own?

No. The Data Skeptic is one independent voice in a council of multiple AI models. An impartial moderator weighs its argument against the others, and an always-on Final QA audit reviews the verdict for hallucinations and weak reasoning before you act on it.

Which AI model runs The Data Skeptic?

The Data Skeptic runs on a frontier model, and a council assigns its members across OpenAI GPT, Anthropic Claude, Google Gemini and xAI Grok — so a multi-member debate genuinely spans different models rather than one model role-playing several.