SYNTHSER
01Why
Know before you build

User research, simplified.

See what different buyers would choose before you spend months building. Get a clear recommendation in ten minutes.

  • 100 independent buyers
  • <10 min to recommendation
  • Nothing retained
01 / WHY NORMAL AI FAILS01

Chatbots can make every idea sound promising.

They answer quickly—but often agree with your framing instead of testing it. Legacy agencies take weeks and cost thousands just to validate internal hunches.

Generic Chatbots · False Confidence

Polite by design. Standard AI praises almost every premise instead of stress-testing whether buyers would actually pay.

Legacy Research · Slow & Costly

$15,000+ invoices and weeks of recruiting before you learn whether an idea has real demand.

Find out what different buyers would choose before you build.

Fig. A — the same question, three fresh chats
Select prompt to test
What do you think of my idea?
Chat 1 · "This solves a huge pain point. Founders will definitely pay for this."
Chat 2 · "Incredible concept! The market size here is massive. Ship an MVP."
Chat 3 · "Strong product-market fit. I’d recommend building this right away."

Different words. Same polite flattery. Zero real critique.

02 / THE METHOD02

Not another opinion. A structured buyer test.

We create a panel of distinct buyer profiles and ask each one to make real trade-offs: which option they would choose, what they would pay, and what would stop them.

Built on isolated evaluations and forced-choice research methods.

Fig. B — the evaluation pipeline · 100 independent buyer profiles
Click stage to inspect
→ → →
Phase 01: Setup & Grounding 100/100 Grounded
Zero cross-talk · No consensus bias · 100 independent buyers
01 The brief

Define the product choice, pricing options, or positioning question.

02 The panel

100 buyer profiles generated with distinct budgets, needs, and skepticism levels.

03 The test

Trade-off questions that reveal what buyers would actually choose and pay.

04 The brief

A four-page executive decision summary delivered in under ten minutes.

03 / THE BRIEF03

Four pages. One decision.

No 40-page decks with fluff. You get what to build, who wants it, what they'd pay, and the reasons behind the recommendation.

  • aWhat to do next — the recommendation in plain English.
  • bWho agrees and who doesn't — the buyer groups pulling in different directions.
  • cWhat people would pay — where interest drops off.
  • dWhy we reached that answer — the inputs and trade-offs behind it.

Built for founder and executive roadmaps.

Fig. 1 — Product concept test · 150 B2B buyers · Commercial intent

Core Direction: Analytics Hub vs Auto Pipeline vs AI Chatbot

Stated purchase intent (%)
48%
Analytics Hub
81%
Auto Pipeline
29%
AI Chatbot
Verdict

Auto Pipeline dominates on commercial intent (81%) because buyers prioritize autonomous execution over another chat interface. AI Chatbot faces heavy workflow fatigue (29%).

04 / TRUST04

A useful answer shows uncertainty.

Real buyers do not all agree. Synthser reflects that disagreement instead of returning one confident-sounding answer.

Fig. C — opinion spread: live buyer disagreement model
Adjust how much buyers disagree: Realistic disagreement across buyers
01 / Different Priorities
Different buyers, different priorities

Generic AI collapses to one agreeable response. Synthser models realistic divergence across buyer segments.

02 / Real Buyer Studies
Compared with real buyer studies

Matches 88% of real human test-retest study patterns on concept and pricing trade-offs.

03 / Plain-English Evidence
Clear decision trail

See exactly which questions were asked and which buyer segments backed the recommendation.

Match with real research results 88%
✓ Closely matches real research study patterns

Don't just get an answer. See how it holds up.

05 / DECISION05

The rapid first draft for high-stakes bets.

Think of it as research triage: find dead ideas fast before committing engineering quarters.

01 For Founders

Validate positioning and pricing before pitching or coding.

02 For Product Teams

Compare roadmap bets before your team commits a quarter to the wrong one.

03 For Marketers

Screen value propositions to find angles buyers respond to.

Use it to narrow the field, then validate the strongest ideas with real customers.

Concept screening volume:
Fig. D — kinetic triage funnel simulation
10 concepts → 2 winners isolated
"Don't spend $15,000 testing 10 bad ideas. Spend 10 minutes finding the 2 best, then let real humans confirm it."
06 / INQUIRY06

Everything you need to know.

What founders ask before they trust a new research tool.

01 Honest buyer feedback

100 independent buyer choices scored rather than one model's agreeable opinion.

02 Zero data retention

Your concepts and questions are purged immediately after synthesis.

Read our Field notes to learn more.

Fig. E — common inquiries
Is this just asking an AI for an opinion?

No. If you ask a single chatbot, it defaults to polite agreement and flatters your idea. Synthser sets up a structured panel of distinct buyer profiles and asks each one to make hard trade-offs independently. You get realistic disagreement and price resistance, not polite confirmation.

What kinds of decisions can it help me make?

Founders use it for three early, high-stakes decisions: concept selection (which feature or product angle buyers prefer), willingness-to-pay (which price tier triggers resistance), and positioning (which value proposition resonates with different customer segments).

Can I trust the result?

Yes, because it reflects uncertainty instead of pretending every buyer feels the same. In empirical benchmarks, Synthser replicates 88% of real human test-retest study rankings. If the recommendation does not have strong buyer backing, the brief explicitly flags the hesitation.

When should I still talk to real customers?

Always talk to real customers for deep qualitative discovery and after you narrow your bets. Synthser is not meant to replace human relationships—it is the fast filter that eliminates weak concepts in 10 minutes so you only spend time and money interviewing buyers about the strongest ideas.

Is my idea and customer data private?

Completely. What you test never trains a model and never leaves your private workspace. Transcripts and inputs are purged immediately after synthesis.

07 / ACCESS07

Ten minutes from now, you'll know.

Bring one product, pricing, or positioning question. We’ll help you get a clearer answer before you invest in building.

01 Weekly cohorts

Focused onboarding every Monday with direct setup support from our founders.

02 Full decision tools

Complete access to concept tests, willingness-to-pay screening, and custom buyer panels.

03 Private by default

Your questions stay strictly confidential. We retain zero training data and purge brief transcripts.

No credit card required. Know before you build.

  • ✓Nothing retained
  • ✓Never trains a model
  • ✓Weekly onboarding cohorts
100 independent signals → one decision
Fig. F — Private beta enrollment
Cohort 04 Open
✓ You're on the waitlist

We've added your email to the private beta cohort. We onboard new teams weekly and will send your onboarding access link directly.

Cohort 04 · Position Confirmed
Direct engineer onboarding 12 pilot seats left