Fuzy was founded by three long-time veterans of growth-stage technology companies who each wondered the same thing: “Why don’t product teams have access to insights that help them directly connect features and customer experiences to business outcomes?”
For growing product-led companies, so much decision-making around what to build relies on fuzzy math. Teams often have tons of data but lack fundamental context into cause-and-effect relationships between the product, user behavior, and critical metrics like revenue, retention, and LTV. They’re forced to rely on anecdotal evidence and tedious experimentation to arrive at a best guess about what to build next.
Fuzy’s mission is to clear up all that fuzziness to help outcome-led software teams think faster, perform better, and celebrate more, together. (Warm and fuzzy relationships with our customers are still okay with us!)
What is Fuzy?
We’re proud to introduce first-of-its-kind product intelligence software that sits on top of your existing tools and data to denoise the quantitative voice of customers, reduce and accelerate the cycles of product experimentation, and enable speedy, high-context decision-making for product teams.
Our co-founder and VP of Engineering, Triet Le says it well. “It’s not about replacing a product manager. It’s about helping them get clearer–faster–on building what’s most impactful to the business” by delivering on-demand, easy-to-understand, and immediately useful insights.
“Fuzy provides PMs with a personal product scientist to give them back time. It can get them 70% of the way to a good decision by giving them data-based insights into user behavior and preferences.”
– Triet Le, Co-Founder & Head of Engineering
Who needs Fuzy?
Many product managers, designers, and GMs at growth-stage companies try to fix a data-rich and insight-poor operating environment by manually piecing together information from user interviews, product analytics tools that lack insight into business impact, and adding expensive, specialized analyst headcount—still to come up short on knowing where and why to focus their efforts.
“No one in the market is doing a great job of the last mile: the data analysis that provides actionable insights.”
– Triet Le, Co-Founder & Head of Engineering
Our fellow co-founder and CTO Steve Denton explains where this leaves product owners today: drowning in data and dashboards with nothing to show. “Product teams are still being served with tools that came out of early BI days that gather lots of data and give you ways to experiment and test hypotheses, but the problem is there’s too much data to manage. So the only option has been to hire a data analyst or scientist (with lots of time and expense before you get to value) to make sense of data and try to help companies make informed decisions.”
Even when used well, product analytics alone do not reveal the impact on core business outcomes or the significance of user behavior (For example: Is it good, bad, or irrelevant that a button was clicked 4000 times?). When outcomes are hard to measure, teams default to what they can measure: output. As a result, product teams can become obsessed with operational velocity, setting the trap of becoming a dreaded “feature factory.”
“We said, ‘Why don’t we invert the model and be a signal company? We tell you what you’re missing and where to look.’ Right now, there’s no shortage of data–but there’s no way to get a signal out of it. Fuzy is the signal in the noise. Product managers can decide whether that signal is critical to use or not.”
– Steve Denton, Co-Founder & CTO
What can I achieve with Fuzy?
As my fellow co-founder Triet Le explained, Fuzy is designed to be the product manager’s best friend, not their replacement. I like how our CTO Steve puts it: “We’re giving superpowers to early-stage product-led companies that gets them on par with larger companies that have sophisticated data science departments.”
“The product looks for cause and effect. We can pick up on patterns (some you might be looking out for and others you may never have anticipated) to find what behaviors lead to a positive or negative outcome. For example, one customer was interested in what people do in the first week, indicating they’ll stick around versus leave. Fuzy found that people who visited the settings page multiple times were likelier to leave, while those who added a profile picture were likely to stay. It surfaced that people who went into settings were turning off notifications, so it was an early signal they weren’t interested in – a predictor of future behavior. The same company recently released a messaging feature. We saw that those who used the feature before trading began trading faster and at higher dollar amounts, whereas other pathways to revenue were decreased by X amount. They learned how behavior had changed based on releasing the new feature. With existing tools, the PM would have to have a hypothesis around those factors and specifically look for that information. Fuzy can point you toward it automatically.”
Ultimately, Fuzy promises to improve the quality of decision-making for product organizations and quantify the impact of product releases while increasing the visibility of results across the company. How?
These are just some of Fuzy’s capabilities:
Define objectives and monitor progress toward results
Discover which behavior patterns lead to positive and negative outcomes (like retention, revenue, upgrades, customer happiness)
Identify nuances in behavior patterns and outcomes across user segments
Validate whether product releases have the intended impact
Construct high value experiments with fewer iterations
Create a continuous feedback loop of learnings across the team
Reduce knowledge decay in the product org
If you’re ready to shine a light on opportunities that are actionable and impactful, with insights everyone can understand, we’re ready to help you optimize outcomes and make your product team the hero.
– Sierra Kiner, Co-Founder & CEO