I have fallen into the trap of the Availability Heuristic, a cognitive bias – where I gave undue weightage to easily accessible available information. This bias skewed my product decisions.
Here is how I learned to overcome it over the years working on various products.
- Diversify Data
- Do not depend on the most voiced feedback.
When Netflix considers new features, they do not look only at user requests. They also analyze viewing patterns and engagement data.
Early in my career, I learned the hard way. The user forums are valuable. However, they do not always represent the majority of users. Diversifying data sources was a game changer for me.
- Embrace A/B Testing
- Use A/B testing to measure the real impact of potential features.
Amazon constantly employs A/B testing to understand user preferences. That leads to more tailored and successful feature rollouts.
- Challenge Strategies
- Create a routine to question current strategies.
Google regularly reassess their product decisions, ensuring they align with evolving user needs and not just immediate feedback.
My teams hold bi-weekly sessions to critically review our assumptions and strategies.
- Foster Critical Thinking
- Foster an environment where all ideas are welcomed and can uncover hidden (mis)understandings.
The idea for Slack emerged not from user feedback but from internal team communication from a gaming project.
Lead brainstorming sessions where conventional and unconventional ideas are explored.
- Balance Short-term Feedback with Long-term Vision
- While immediate user feedback is essential, align it with your long-term vision.
Apple’s development of the iPhone was a risk that paid off massively. It disrupted the smartphone industry.
Focus on long-term user engagement, not just immediate satisfaction. It leads to more sustainable product growth.
Overcoming the Availability Heuristic is about seeking diverse voices and data and aligning them with your product’s long-term vision.
Have you encountered this bias? If yes, what were your learnings?