Find the Positioning That Beats Your Category Test positioning, features, and messaging as one system
Test positioning, features, and messaging as one system
Steps
Recommended Panels
Time
purchase intent for the winning positioning
gap between winning and losing angles
law firms signed in 45 days
demo requests after the reposition
The Challenge
What's Going Wrong?
Most teams fail here not because they build poorly — but because they validate nothing. Here's the reality.
Pain Point 1
He was pitching 'AI for lawyers' in a market already dominated by Harvey, CoCounsel, and LexisNexis
Pain Point 2
Attorneys loved the speed pitch but had zero trust in AI-generated contract language
Pain Point 3
His feature set was identical to competitors because his positioning was identical - just faster
Pain Point 4
He was burning $5K per month on Google Ads with generic messaging that attracted tire-kickers, not buyers
The Solution
How We Fix This
A simple, repeatable process that turns guesswork into data — in under 10 minutes.
Defined 3 positioning angles
He wrote 3 product stories: (1) AI drafts contracts in minutes, (2) AI reviews contracts for hidden risk, and (3) AI researches case law instantly. Same product, different hero feature and headline.
Targeted attorneys by practice area
He filtered 1,000 personas: corporate attorneys, litigators, paralegals, and law firm partners at firms with 5-200 lawyers.
Scored intent and trust by segment
TestSynthia generated responses showing purchase intent, trust scores, urgency, and verbatim reactions for each positioning angle within each practice area.
Repositioned and relaunched
He killed the drafting angle, focused on risk review, made redline comparison the hero feature, and rewrote his website around 'nothing slips through.' Demo requests tripled in 30 days.
Real Scenario
See It In Action
A founder built an AI tool for lawyers that could draft contracts, review them for risk, and research case law. He had three positioning options: 'AI drafts contracts in minutes' (speed), 'AI reviews contracts for hidden risk' (safety), and 'AI researches case law instantly' (research). He tested all three with 1,000 legal professional personas. 'Reviews for risk' crushed it with 71% purchase intent. 'Drafts contracts' scored 29% - attorneys worried about malpractice liability if AI drafted language. 'Case law research' scored 44% but only appealed to litigators, not corporate attorneys. He repositioned as the risk-review tool, added redline comparison as the hero feature, rewrote landing page copy around 'sleep better knowing nothing slipped through,' and signed 3 pilot law firms in 45 days.
The founder assumed speed was his competitive advantage because every AI tool pitched speed. TestSynthia revealed attorneys saw AI-drafted contracts as a malpractice risk (29% intent) but AI risk review as malpractice protection (71% intent). The same product, opposite positioning, 42-point difference in purchase intent.
Attorneys saw AI-drafted contracts as a malpractice risk. The same product positioned as risk review became malpractice protection. That 42-point swing changed everything.
Founder
AI Legal Tool
Sample Questions
What We Ask Personas
The exact questions your personas answer to reveal what really drives their decisions.
“How likely are you to purchase a tool that uses AI to review contracts for hidden risks and unfavorable terms?”
“For your practice, which matters more: AI that drafts contract language, AI that flags risks in existing drafts, or AI that researches relevant case law?”
“How much would you pay per month for a tool that reviews every contract for risks before you send it to a client?”
“What would make you recommend this tool to a partner at another firm?”
Results
What You Walk Away With
Concrete outcomes you can act on immediately after your simulation.
Found a niche where purchase intent was 71% vs 29% for the generic speed positioning
Discovered risk review was the killer feature - not drafting - which changed the entire product UI
Stopped competing head-on with Harvey and CoCounsel by owning a specific use case attorneys actually trust
Tripled demo requests in 30 days with positioning validated by 1,000 simulated legal personas
Audience Panels
Recommended Panels
The Manager
Leaders and supervisors across industries , from retail floor managers to project management specialists. They make decisions, manage budgets, and influence purchasing, including internal concept validation and de-risking new initiatives before public exposure.
B2B SaaS, HR platforms, productivity tools, enterprise software
Panel snapshot
Analyst / Finance
Accountants, analysts, financial managers, and advisors. Data-driven professionals who evaluate ROI carefully and influence financial decisions at every level.
Fintech, data tools, finance apps, accounting software, investment platforms
Panel snapshot
General USA Panel
A diverse cross-section of U.S. adults representing mainstream America , suburban, urban, and rural. Captures the opinions and habits of the average American consumer
Consumer goods, retail, e-commerce, media, financial services, healthcare, and any product seeking broad U.S. market validation
Panel snapshot
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All Use Cases
Find Your Real Audience Before You Build
Test Content Angles Before You Publish
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Find the Price That Maximizes Revenue
Validate Your Startup Idea Before You Build
Beat Your Competitors Before You Launch
Validate Your Market Entry Strategy
Stop Guessing. Start Knowing. Build what people actually want.
Every day you build without validation is a day you might be building the wrong thing. Start your free survey today.