How Ben Yoskovitz Is Building Candor to Make Customer Research Faster, Smarter, and More Trustworthy

Founder Spotlight: Ben Yoskovitz, Founding Partner at Candor

Building an AI startup is easier than ever. Building one people actually trust is much harder.

That challenge is exactly what pushed Ben Yoskovitz to create Candor.

Ben is a Founding Partner at Highline Beta, one of Canada’s leading venture studios, and has spent his career building and scaling startups. He previously co-founded Year One Labs, had a startup acquired by Airbnb, worked at Salesforce, and co-authored the bestselling startup book Lean Analytics.

After years of helping companies validate ideas, test concepts, and understand customers, Ben saw a recurring problem: quality research was too slow, too expensive, and often skipped altogether.

That led to the creation of Candor.

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Building Better Customer Research

Candor is an AI-powered qualitative research platform designed to help teams understand customers faster.

Instead of spending weeks recruiting participants, scheduling interviews, running research sessions, and synthesizing findings, users can create evidence-based synthetic research participants and conduct interviews with them directly.

The platform recommends the right study type, whether that’s:

Users can provide public sources, internal documents, or research material, and Candor builds research audiences grounded in evidence rather than assumptions.

The result is customer research that can happen in hours instead of weeks.

But Ben is careful about positioning.

“I don’t see it as a replacement for talking to real humans. It’s a way to do a lot more research earlier and show up to real customer conversations much smarter.”

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What Makes Candor Different?

The synthetic research space is becoming increasingly crowded, but Ben believes most solutions are focused on speed rather than rigor.

According to him, many tools simply simulate customer conversations without showing where conclusions come from.

Candor takes a different approach.

Every participant is built from evidence, and each attribute is traceable back to its source. Users can see whether information was directly sourced, inferred from evidence, calibrated against population data, or based on assumptions.

The platform also includes systems that challenge responses, identify contradictions, and maintain memory across conversations.

“We’re not trying to win on speed or price,” Ben explains. “We want to be the most rigorous tool in the room.”

That focus on transparency is especially important for consultants, product teams, and enterprise users who need research they can defend in front of clients, executives, and stakeholders.

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Who Uses Candor?

Ben sees three primary customer groups emerging:

Enterprise Teams

Large organizations often struggle because customer research becomes a bottleneck. These teams want to run more studies, more frequently, without expanding research resources.

Consultants

For consultants, speed directly impacts profitability. Faster research means quicker delivery while still maintaining defensible insights for clients.

Startups

Most startups simply cannot afford traditional research. Candor gives founders access to customer insights that previously required significant budgets and dedicated research teams.

Rather than guessing which segment will ultimately become the strongest fit, Ben is letting customer behavior guide the decision.

“I’d rather listen to what customers repeat back to me than guess from inside my own head.”

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Challenges Along the Way

Interestingly, Ben says the hardest part of building Candor wasn’t the technology.

AI made development dramatically faster.

The real challenge was everything between a working product and a launch-ready product.

Early users interacted with the platform in unexpected ways. Some provided almost no information. Others overloaded the system with irrelevant context. Both scenarios produced weak results.

To solve this, the team rebuilt onboarding flows, added examples, and introduced quality checks to improve input quality.

Another challenge was resisting the temptation to endlessly improve the product.

Ben calls it the “build forever trap.”

When building becomes cheap and fast, it becomes difficult to stop building and start shipping.

“I had to force myself to ship and let the market answer my questions.”

He also highlights a challenge many AI founders underestimate: costs.

Nearly every action in an AI product consumes model resources. Without proper cost tracking, a small group of heavy users can quickly become expensive.

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Biggest Milestone So Far

For Ben, the biggest achievement has simply been launching.

Candor went from idea to production-ready platform in roughly six months while being built part-time alongside his role at Highline Beta.

By launch, the company had:

But the milestone he values most is customer feedback.

The team is already using real-world usage to improve the platform and refine the product.

Launch, he says, is only the beginning.

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What’s Next for Candor?

Over the next 12 months, Ben’s focus is clear:

One question stands above the rest:

Can Candor become a product that customers would genuinely miss if it disappeared?

That’s the metric Ben is ultimately chasing.

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Advice for AI Founders

After building Candor, Ben shared four lessons for founders building AI products today:

AI makes building easier, which also makes it easier to build things customers don’t need.

Launch early and let users tell you what matters.

AI products don’t behave like traditional SaaS businesses.

Track costs by user, feature, and project from day one.

Monitoring, testing, staging environments, and security may not be glamorous, but production software depends on them.

Define what success looks like before building.

Then evaluate outputs critically rather than blindly trusting the model.

As Ben puts it:

“AI built my product faster than I ever thought possible. It didn’t launch it. That part is still on you.”

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Learn More About Candor

If you’re involved in product research, customer discovery, innovation, consulting, or product management, Candor offers a different approach to understanding customers.

You can learn more at runcandor.com and follow Ben’s journey through his newsletter, Focused Chaos, where he shares lessons from building AI products in public.