For AI agents

What your agents can do with Imagine All The People.

Preparing a campaign, designing an offer, deepening a study or examining a conversation: see how to bring synthetic populations and expert agents into the missions of your agentic systems.

Your system runs the mission. Imagine All The People gives it populations and experts to consult.

The journeys below are illustrative integration scenarios. How they are implemented depends on the capabilities exposed and on your system’s orchestration. They are not client cases or measured results.

02 · Design and journey · Create and compareIllustrative integration scenario

Designing a proposal is not enough. Examine what audiences make of it.

Mission
Prepare a service and the way it is presented.
Role of the agentic system
The system prepares the proposals and the supported materials.
What Imagine All The People provides
It puts them to synthetic populations and explores expectations, missing information and ambiguities.
What the answers can change
The answers might reveal a misunderstanding about the information users are asked to provide. The agent would rework the explanation rather than add a feature.
Deliverable
A revised proposal and the questions to check with real users.

This scenario does not describe navigation actually performed in an interactive prototype.

03 · Offers and pricing · Create and compareIllustrative integration scenario

Build several offers. Examine the trade-offs they raise.

Mission
Compare several combinations of price, services and terms.
Role of the agentic system
The system prepares the options.
What Imagine All The People provides
It uses Imagine All The People to explore how they are received, the concessions considered and the conditions for acceptance that are expressed.
What the answers can change
It might recommend two offer tiers rather than an across-the-board price cut, or dig into an objection about cancellation.
Deliverable
A comparison of the offers, simulated reactions by group and the trade-offs still to be decided.

An intention expressed in the simulation is neither a sale nor a revenue forecast.

05 · Level of language · Converse and be understoodIllustrative integration scenario

Your agent can answer. Can it make itself understood?

Mission
Explain the same proposal to people with different levels of familiarity with the subject.
Role of the agentic system
The system compares several wordings.
What Imagine All The People provides
It puts them to synthetic interlocutors configured for these situations, asks them to restate what they understood and to flag ambiguities.
What the answers can change
Adapting vocabulary, density, examples and assumed knowledge.
What to examine
The versions of the explanation and the synthetic restatements.

This test is not proof of understanding by real people.

06 · Imperfect requests · Examine an agentic systemIllustrative integration scenario

Conversations don’t always start with a flawless brief.

Mission
Respond to a request that is incomplete, ambiguous, casual or covers several topics.
Role of the agentic system
The system examines whether its agent asks a useful clarifying question, answers too quickly or invents an interpretation.
What Imagine All The People provides
Synthetic interlocutors play out these situations.
What the answers can change
Better clarifying questions and fewer premature conclusions.
What to examine
The conversation, the ambiguities identified and the answers given.

07 · Teaching · Converse and be understoodIllustrative integration scenario

Explaining a concept is not the same as answering a question.

Mission
Explain a percentage, a feature or how a piece of equipment works.
Role of the agentic system
The system compares a direct explanation, an analogy and a step-by-step series of questions.
What Imagine All The People provides
It converses with synthetic interlocutors expressing different misunderstandings.
What the answers can change
Explaining differently when someone says they understood but restates it incorrectly.
What to examine
The teaching approaches and the misunderstandings encountered in the simulation.

This scenario does not measure real human learning.

08 · Customer service · Examine an agentic systemIllustrative integration scenario

A correct answer to the first message is not enough to get a conversation right.

Mission
Handle a refund request, a dispute or information added mid-conversation.
Role of the agentic system
The system examines consistency, how rules are explained, requests for clarification and the necessary hand-offs to humans.
What Imagine All The People provides
The agent converses with synthetic interlocutors in defined scenarios.
What the answers can change
Revisiting a contradictory answer, an invented exception or a missed clarification.
What to examine
The conversations and any deviations from the rules provided for the scenario.

09 · Hand-off between agents · Examine an agentic systemIllustrative integration scenario

Several agents. One conversation for the person on the other side.

Mission
Pass a request between qualification, analysis and follow-up agents.
Role of the agentic system
The system examines information asked for twice, contradictions and forgotten constraints.
What Imagine All The People provides
A synthetic interlocutor goes through the steps.
What the answers can change
Better context hand-offs and a clearer division of roles.
What to examine
The trace of the journey and any breaks in continuity.

10 · Sales pitch · Converse and be understoodIllustrative integration scenario

Does your pitch still hold up when someone answers back?

Mission
Present an offer to people who ask for evidence, compare or hesitate.
Role of the agentic system
The agent examines the useful questions, the objections and the relevance of its answers.
What Imagine All The People provides
It explores conversations with synthetic interlocutors rather than a standalone text.
What the answers can change
Reorganising the pitch and acknowledging when an offer does not fit the need.
What to examine
The exchanges and the arguments used, without turning the goal into sales pressure.

11 · Tone · Converse and be understoodIllustrative integration scenario

Direct, warm, formal: examine how the chosen register lands.

Mission
Ask for information, announce a delay, turn down a request or acknowledge a mistake.
Role of the agentic system
The system prepares several wordings.
What Imagine All The People provides
It tests them with synthetic interlocutors in defined contexts.
What the answers can change
Revisiting a wording perceived as too casual, cold, pushy or patronising.
What to examine
The wordings and the simulated reactions to them.

The reactions observed do not establish a universal preference for an entire group.

12 · Adapting to audiences · Create and compareIllustrative integration scenario

Translating the words is not always enough to convey the same idea.

Mission
Adapt a message to audiences with different references or familiarity with the subject.
Role of the agentic system
The system compares several presentations.
What Imagine All The People provides
It explores ambiguities with synthetic populations.
What the answers can change
Changing examples and vocabulary without altering the meaning of the price, the terms or the commitment.
Deliverable
Adapted versions and the elements of meaning to preserve.

13 · Survey questions · Explore and analyseIllustrative integration scenario

Before asking, examine how the questions are put.

Mission
Prepare a questionnaire or an interview guide.
Role of the agentic system
The agent examines ambiguities, presuppositions and follow-ups.
What Imagine All The People provides
It tests its questions with synthetic interlocutors.
What the answers can change
Splitting two blended questions or rewording a leading question.
Deliverable
The revised guide and the reasons for the changes.

14 · Reporting · Explore and analyseIllustrative integration scenario

A recommendation can be well argued and still hard to use.

Mission
Present a conclusion to people with different reading needs.
Role of the agentic system
The system compares a summary, a presentation of the options and a detailed explanation.
What Imagine All The People provides
It examines the questions and misunderstandings these raise among synthetic interlocutors.
What the answers can change
Revising the presentation without artificially changing the conclusion to please.
Deliverable
Several levels of reporting and the assumptions made explicit.

Not just populations to question. Interlocutors to work with.

Your agent can ask a question, present a proposal, receive an objection, rephrase an explanation and carry on the conversation.

Depending on the mission, it can question a single synthetic individual, compare the answers of several groups or organise a series of exchanges.

Questioning becomes part of its work, not necessarily a separate study.

And all the conversations you haven’t imagined yet.

  • Test a slogan.
  • Explain an invoice.
  • Present an offer without using the word “solution”.
  • Check what a novice understands from an expert’s answer.
  • Get an expert to react to an oversimplified explanation.
  • Compare a formal and an informal register.
  • Announce a delay without sounding like you’re passing the buck.
  • Ask for information without seeming intrusive.
  • Present a price. Then explain what it covers.
  • Respond to “I’ll think about it”.
  • Understand what lies behind “it’s not for me”.
  • Explore how a joke lands.
  • Rework a user manual.
  • Explain a feature without jargon.
  • Welcome someone who doesn’t yet know what they’re looking for.
  • Talk with someone who changes their mind.
  • Pick up an explanation after a misunderstanding.
  • Introduce a feature to someone who didn’t ask for it.
  • Introduce a service to someone wary of anything new.
  • Examine a promise that sounds too good to be true.
  • Test an agent that answers too fast.
  • Another that talks too much.
  • Another that never dares to say “I don’t know”.
  • Hand over from one agent to another without losing the thread.
  • Prepare a museum visit.
  • Teach the rules of a game.
  • Build a character’s dialogue.
  • Compare two endings of a story.
  • Explain a change to the people who will have to live with it.
  • Find the missing question.
  • Or simply ask: “What did you understand from what I just proposed?”

A question or an interview. One individual or several populations. A proposal to compare, an objection to explore, a conversation to continue.

Give your agents synthetic humans to talk with. What they ask is up to you.

These ideas describe possible uses, not a guaranteed result or unlimited technical capabilities.

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