Buying committee simulation

The five seats

A committee simulation is only as useful as the seats it models. The standard set for technical B2B software:

• Champion. wants the change, has to sell it internally, needs ammunition more than information.
• Economic buyer. signs. Needs a baseline, a number, and a defensible comparison.
• Technical decision-maker. owns the integration. Needs architecture, limits, and failure behaviour.
• End user. lives with it daily. Needs to see the actual workflow, not the value proposition.
• Security guardian. can stop the deal alone and gains nothing by approving it. Needs certifications, data handling, and residency stated plainly.

You pick the subset that matches your real deals. A three-seat committee is common at Series A; five is common at 500 employees.

Why one agent per role, not one agent playing five parts

Asking a general AI assistant to “review this page as a CFO, a CISO and an engineer” produces one voice wearing three hats. The answers correlate, because they come from one pass of one model holding all three briefs at once. Real committees do not correlate. The champion’s enthusiasm is exactly what makes the security reviewer’s silence invisible.

Running one agent per role, with no knowledge of the other roles’ verdicts, is what makes disagreement possible, and disagreement is the finding. When the champion advocates and the economic buyer abandons at the same section, you have located the deal risk. That structure is drawn as a conflict graph.

What a run produces

• A per-role decision at each scan zone: scroll, click, submit, or abandon.
• The role that vetoed, and the section where it happened.
• The specific missing evidence, sourced to something a real buyer said.
• A ranked fix list, ordered by how many roles each fix unblocks.

Every role is run across multiple behavioural states. rushed, sceptical, ideal, and many seeds, so what comes back is a distribution rather than one opinion. WhyUser fields around 300 agents across five roles per run.

What it does not replace

Being straight about the limits is what makes the rest credible.

• It does not replace talking to customers. A simulation compiled from buyer evidence is downstream of that evidence. If the evidence is thin, so is the simulation.
• It does not produce absolute conversion rates. The defensible output is rank and direction: this version beats that one, this role is the risk. Treat any magnitude as a range.
• It does not replace live testing. It runs before the spend so that live testing starts from a better asset.

Questions people ask about buying committee simulation

What is a buying committee simulation?

It is a pre-launch test in which each role on a B2B buying committee is modelled as a separate agent that reads the asset and decides independently. The output is a verdict per role, not one blended score.

How is it different from asking ChatGPT to review my landing page?

A general assistant returns one confident opinion, and returns a different one each time you ask. A committee simulation runs each role as its own agent across several behavioural states and many seeds, so disagreement between roles becomes visible and the same input returns the same verdict.

Are the simulated buyers real people?

No. They are agents compiled from real evidence: customer reviews, sales-call transcripts, community threads, and competitor comparisons. The evidence is real; the buyer is simulated.

How long does a run take?

About 30 minutes for a landing page, ad, or email, compared with roughly two weeks for an internal review round and four to six weeks for a live A/B test.