PERTH, Australia - TelAve -- KanoSurveys.com has passed a major product engagement milestone, with more than 250,000 answers now submitted through the platform since it launched in 2019.

The milestone reflects steady adoption of the Kano Model as a framework for product validation, feature prioritisation and roadmap planning. KanoSurveys is bootstrapped, profitable, and has been used by people from organisations including PwC, Adobe, Intuit, Accenture and Deloitte.

To mark the milestone, KanoSurveys has published a new research report: The Kano Survey Design Report: what 1,172 real surveys reveal. The report analyses survey usage on the platform to understand how Kano is being used today.

The findings show that Kano remains highly relevant for product teams who are moving faster than ever, but the underlying question has not changed: which ideas will increase customer satisfaction, and which will waste time?

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"Kano has always been about understanding customer value," said Will Barden, founder of KanoSurveys. "That's even more important now. AI makes it easier to build, but it also makes it easier to build the wrong thing quickly."

The report found that successful Kano surveys are focused rather than sprawling. Across 1,172 qualifying surveys, the median survey tested 8 features, while 63.4% of surveys tested 6 to 10 features. Each Kano feature requires functional and dysfunctional questions, meaning a 10-feature survey actually needs 20 answers.

The research also highlights the importance of response volume. As surveys gathered more responses, the share of Indifferent results increased sharply: from 20.3% among surveys with 10–20 responses to 56.2% among surveys with more than 200 responses. KanoSurveys warns against over-trusting small, enthusiastic early samples. Larger audiences often reveal that many apparently exciting ideas are less important to the broader market.

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One of the clearest commercial findings is that Kano surveys are useful not just for identifying promising features, but for cutting waste. Across the dataset, 24.5% of tested features were classified as Indifferent or Reverse, meaning roughly one in four roadmap ideas tested were things users either did not care about or actively disliked.

The report also shows how strongly AI is influencing product roadmaps. AI features had the highest Delighter rate of any feature type at 66.0%, and the number of AI features tested grew from 39 in 2022 to 230 in 2025. However, KanoSurveys warns that today's AI Delighters may become tomorrow's basic expectations as the market matures.

For KanoSurveys, the 250,000-answer milestone is both a credibility marker and a reminder of the value of structured product research.

KanoSurveys is available at https://kanosurveys.com and provides tools for creating Kano surveys, collecting responses, segmenting audiences, analysing feature categories, and prioritising product ideas based on customer satisfaction impact.