Instead of relying on investor feedback or intuition, Ladder's product strategy is deeply empirical. The CEO manually copied, pasted, and color-coded thousands of App Store reviews into Word documents to identify core customer pain points, forming the blueprint for their roadmap.
Don't just collect feedback from all users equally. Identify and listen closely to the few "visionary users" who intuitively grasp what's next. Their detailed feedback can serve as a powerful validation and even a blueprint for your long-term product strategy.
Instead of inventing new features, Prepared identified its most lucrative expansion opportunity by seeing users' painful workarounds. They noticed 911 dispatchers manually copy-pasting foreign language texts into Google Translate—a clear signal of a high-value problem they could solve directly.
Tock rejected traditional focus groups and instead embedded its software engineers directly into restaurants to work shifts as hosts. This forced immersion gave the engineering team firsthand experience with the end-user's pain points, leading to a far more intuitive and effective product than surveys could produce.
True product intuition isn't just from standard discovery calls. It's forged by directly engaging with customers' most urgent problems on escalation calls. This unfiltered feedback provides conviction and data-backed confidence for decision-making.
In early stages, the key to an effective product roadmap is ruthlessly prioritizing based on the severity of customer pain. A feature is only worth building if it solves an acute, costly problem. If customers aren't in enough pain to spend money and time, the idea is irrelevant for near-term revenue generation.
The old product leadership model was a "rat race" of adding features and specs. The new model prioritizes deep user understanding and data to solve the core problem, even if it results in fewer features on the box.
Raw customer feedback is noise. To make it actionable for Product, organize it along two dimensions: impact and frequency. This simple framework separates signal from noise, distinguishing high-priority, high-impact issues from niche requests and creating a clear basis for roadmap decisions.
Ladder's success stems from prioritizing aggregate customer data over individual opinions, especially from investors. They view an investor's product suggestion as a single, biased data point that often contradicts what their broader user base actually wants and needs.
Your audience will dictate your product roadmap if you listen. Porterfield's evolution was a direct response to customer feedback. They finished her webinar course and asked what to sell. They finished her product course and asked how to market it. The path to her flagship product was paved with their questions.
When VCs pushed for a data-driven focus on high-turnover products, Ed Stack prioritized the anecdotal experience of a customer awed by a vast selection. He knew that what looks inefficient on a spreadsheet can be the very thing that builds brand loyalty. The qualitative story was more predictive of long-term success than the quantitative data.