Build the Features Your Market Actually Wants Use data, not opinions, to decide what ships next
Use data, not opinions, to decide what ships next
Steps
Recommended Panels
Time
more intent from client portals vs AI suggestions
intent for the winning feature
saved by killing low-impact features
simulated subscription lift next quarter
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
The CEO pushed for AI task suggestions because 'AI is hot right now' - but buyers didn't care
Pain Point 2
User interviews with 6 agency owners all said they'd use every feature (social desirability bias)
Pain Point 3
The PM had no way to test 5 features simultaneously without building prototypes for all of them
Pain Point 4
The resource scheduling feature the engineering team loved internally scored dead last with actual target users
The Solution
How We Fix This
A simple, repeatable process that turns guesswork into data — in under 10 minutes.
Listed 5 candidate features
She identified time tracking, client portals, automated invoicing, resource scheduling, and AI task suggestions as candidates for the next release.
Built 4 product variations
She created 4 versions of the app description, each with a different combination of 2 features, to isolate which features actually drove purchase intent.
Tested with ops personas
She filtered 1,200 operations managers and agency owners at companies with 10-200 employees who currently use project management tools.
Ranked by purchase intent impact
Client portals (+61% intent), time tracking (+54%), automated invoicing (+38%), AI suggestions (+29%), resource scheduling (+14%). She built the top 2 and killed the bottom one.
Real Scenario
See It In Action
A product manager at a project management tool had budget for 2 new features out of 5 candidates: time tracking, client portals, automated invoicing, resource scheduling, and AI task suggestions. She created 4 product variations and tested them with 1,200 operations manager and agency owner personas. Client portals drove 2.1x more purchase intent than AI suggestions (61% vs 29%). Time tracking ranked second at 54%. Resource scheduling flopped at 14% - users said it was 'nice but not a deciding factor.' Automated invoicing scored 38% but only appealed to agencies, not internal ops teams. She built client portals + time tracking, deprioritized AI suggestions to Q4, and saw a 28% simulated subscription increase in the next quarter.
The CEO's favorite feature - AI task suggestions - scored 29% intent and was considered 'gimmicky' by experienced operations managers. The feature the team considered 'boring infrastructure' - client portals - was the top driver at 61% intent. This flipped the entire Q3 roadmap.
The CEO wanted AI features because 'AI is hot right now.' Our buyers called them gimmicky. The boring infrastructure feature drove 2.1x more intent and flipped our whole roadmap.
Product Manager
Project Management Startup
Sample Questions
What We Ask Personas
The exact questions your personas answer to reveal what really drives their decisions.
“Which of these features would make you most likely to upgrade your project management tool?”
“If you could only get 2 features, which would you choose and why?”
“How much would a client portal feature increase your likelihood to use this tool daily?”
“What feature would make you recommend this tool to another operations manager?”
Results
What You Walk Away With
Concrete outcomes you can act on immediately after your simulation.
Discovered client portals drove 2.1x more subscriptions than AI task suggestions
Avoided building resource scheduling which only 14% of target users cared about
Saved 5 engineering sprints by killing low-impact features before development
Gave the CEO data-backed reasoning instead of chasing the AI hype cycle
Audience Panels
Recommended Panels
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
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
Tech Worker
Software developers, engineers, analysts, and IT professionals. Early adopters with high digital literacy who influence software decisions at their organizations and test product concepts, pricing, and messaging for software products.
Dev tools, SaaS, cloud services, UX research platforms, productivity software
Panel snapshot
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Product Roadmap Framework: Data-Driven Prioritization
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Explore More
All Use Cases
Find Your Real Audience Before You Build
Test Content Angles Before You Publish
Find the Positioning That Beats Your Category
Know Which Message Converts Before You Spend
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.