Synthetic users. Real questions.

The decision
is due.
The research
isn’t.

Get closer to your audience before you commit.
Explore products, messages, and market moves with synthetic users. Turn what you learn into what to do next.

Bring your question Take a look inside

One audience.
More than one point of view.06
perspectives

The practical buyer

“It sounds useful. But why would I switch?”

Illustrative synthetic perspective

Different people. Different questions.Choose a perspective

For the moment
before

You enter a market.

You change the story.

You place the bet.

A little less “we think.”

A little more
“here’s why.”

Fluexy brings synthetic audience research and decision-making into the same workflow. Explore how a defined audience may respond, understand the reasons, and decide what deserves a real-world test.

01 / What you can explore

Big question?
Start here.

What matters to your audience?

Explore the everyday needs, habits, and frustrations behind a buying choice. Put your questions to a defined synthetic audience to uncover what they may be missing—and what you should ask real customers next.

“What’s bothering them that nobody’s solving?”

Unmet needsBuying habitsAudience differences

02 / How it works

One question in.
A clearer way forward.

FluexyMeeting assistant / Messaging studyExample

Research workspace　›　Research brief

Research brief

What should our launch message lead with?

The audience

Team leads at growing businesses who already use a meeting tool.

The decision

Lead with faster summaries or clearer ownership of next steps?

ASave time on
meeting notes.

BLeave every meeting
with a clear next step.

Audience, context, and alternatives in one place.

Illustrative walkthroughPrewritten example, not live research

The example above shows the research process. It is an interactive illustration, not a product screenshot or customer result.

03 / The Fluexy difference

Interesting finding.
Now what?

Research is only useful if it changes what you do. Fluexy’s decision layer connects audience responses to the choice in front of your team.

Talk through your decision

The finding
The message is clear. The reason to switch isn’t.

The implication
Make the value over the current alternative explicit. Clarity alone may not be enough.

The next move
Test a message built around the unresolved problem. Check it with real buyers.

An illustrative example of the decision layer.

04 / Validation

Two layers.
Both need evidence.

Do the synthetic audiences reflect real people? And does the decision layer turn those findings into a sound recommendation? Each needs its own validation.

Illustrative validation frameworkFollow an example study

Do the responses reflect real people?

Compare like with like
Use the same questions and audience criteria for synthetic and independent human research.

Look beyond the average
Compare preferences, recurring themes, and differences between audience segments.

Make the gaps visible
Report where results agree, where they diverge, and the limits of the study.

Illustrative framework. Confirmed methods and measured results will accompany the final study.

05 / Featured case study

Illustrative preview · fictional study

B2B SaaS / Growth & marketing

Trials are steady.
So why did sales dip?

An illustrative SaaS study: from synthetic buyer findings on a quarter’s sales dip to a marketing plan, with a way to check both against real pipeline data.

Get a study like this

The question