10 Questions for Product Planning: Ensure You're Not Trapped in a Feature Factory
A checklist of 10 questions to help product managers and teams ensure they focus on changing user behavior and avoid the pitfalls of a 'feature factory'.
10 Questions for Product Planning: Ensure You're Not Trapped in a Feature Factory
In the world of product development, it's easy to get lost in an endless stream of new ideas and features. Teams often fall into the "feature factory" trap, constantly releasing things that don't lead to significant changes in user behavior or real business impact.
To avoid this, it's crucial to ask the right questions during the planning stage. These 10 questions will help you focus on outcomes, not outputs, and ensure that every initiative has meaning. If you can't answer them, you might already be in feature factory mode.
1. What specific user behavior should change?
This is the fundamental question that helps focus on real value. Instead of saying "we'll add a chat," ask: "We want users to ask questions more often and get answers faster, without leaving the product."
2. For which user segment?
Not "for all users." Specify a particular segment. New users? Experienced users? Users on a specific plan or with a certain role? The more precise the segment, the clearer it is who you are working for.
3. In what timeframe should this change occur?
Behavioral change doesn't happen instantly. Define realistic timelines: in the first 24 hours, within a week, within a month? This will help you set metrics and expectations correctly.
4. How will we see this in the data (metric)?
What specific metric will show that behavior has changed? This cannot simply be "number of clicks." It must be a measurable change linked to value. For example: "the proportion of users who complete the first target action will increase by X%."
5. What guardrail metric should not worsen?
Any change can have side effects. Define a metric that will show you haven't worsened something important while trying to improve the target metric. For example, if you increase activation, make sure that churn in the first 7 days doesn't increase.
6. What will constitute success? (Clear threshold)
Define a specific, measurable success threshold in advance. "Conversion will increase by 5%" is a threshold. "Conversion will increase" is not. This will help avoid subjective interpretations and disputes after testing.
7. What will constitute failure? (Clear threshold)
It's equally important to define a failure threshold. If the metric hasn't moved or has fallen by X%—that's a failure. Knowing the failure conditions in advance allows you to quickly decide whether to stop or change course, without wasting unnecessary resources.
8. What is the simplest version of verification (MVP) without "everything at once"?
How can you test your hypothesis with minimal effort and resources? Don't strive to build the ideal solution immediately. Focus on what will give you the fastest and most honest signal from the user.
9. What are we willing to remove if it doesn't take off?
If you're not ready to remove or roll back a feature, it means you're not managing the product, but accumulating "eternal clutter." Define criteria in advance for when a feature will be removed, and be prepared to do so.
10. If the metric increased, how could it be "hacked" without improving the product? (Goodhart's Law)
This is a powerful question that helps identify potential ways to manipulate a metric. If you can think of 3-5 ways to "boost" the metric without providing real value to the user, then your metric is unreliable and requires stronger guardrails.
By answering these questions, you will not only avoid the feature factory trap but also build a more conscious, purposeful, and effective product development process.