Beyond the XY Problem: The Art of Not Answering the First Question
When a user asks a technical question, the instinctive response for most engineers is to provide the most efficient answer possible. We treat the request as a puzzle to be solved: the user wants X, so we provide the path to X. However, for those building complex tools for other engineers, this responsiveness can actually be a missed opportunity for both the developer and the user.
In the context of developing Perfetto—a performance debugging tool—Lalit Maganti suggests a "golden rule": don't answer the first version of the question. While this may sound like a simple exercise in avoiding the "XY Problem" (where a user asks about their attempted solution 'Y' rather than their actual problem 'X'), this approach goes further. It treats the user's confusion not as a hurdle to be cleared, but as a valuable opening to refine the product's mental model and architecture.
Diagnosing the Ask
Not every question requires a deep dive. Routine requests or simple documentation gaps are best handled with a direct link and a quick thank you. The strategy of "not answering" is reserved for questions that feel "weird"—those that are uncommon, sound unreasonable compared to typical usage, or seem to fight the tool's underlying architecture.
To determine if a question warrants a deeper conversation, Maganti employs a mental checklist:
- Is this common? If it's a frequent request, a standard answer likely exists. If not, it's an anomaly worth investigating.
- Does it sound reasonable? If the request feels out of place, there is likely a more "normal" question hidden beneath it.
- Does it fit the tool's shape? Is the user attempting to force the tool to do something it wasn't designed for?
Once a discrepancy is identified, the goal is to surface the missing context without being dismissive. The key is to provide the immediate answer while simultaneously questioning the premise: "Well, the answer to your immediate question is X, but that’s a pretty strange thing to ask for because of reason Y. Can you tell me more about the wider problem you’re trying to solve?"
When the User is Missing the Philosophy
Often, users approach a tool with a preconceived notion of how it should work, rather than understanding the philosophy behind its design. In the case of Perfetto, users might treat traces as a "holy grail" for all metrics, attempting to use them to calculate frame rates or memory usage. While technically possible, this is inefficient because traces are expensive to collect and process compared to dedicated metric collection systems.
By digging deeper, developers can move from being a technical support agent to a teacher of the domain. For example, when users asked how to split large Perfetto traces into multiple files, the underlying need was often to visualize specific periods of interest in a long recording. By identifying this, Maganti could point them toward "periodic trace snapshots"—a feature that solves the problem at the source by avoiding the need for a single massive trace in the first place.
Using User Friction to Guide Product Evolution
When a user's "weird" question reveals a genuine gap in the product, the challenge shifts to deciding what to build. The cost of adding the wrong feature to foundational software is high, leading to significant technical debt.
Maganti shares two contrasting examples from the Perfetto project:
- The Wrong Path: The team implemented ad-hoc UI customization because users complained about the difficulty of hacking the UI. This led to massive technical debt, as every new feature had to interact with every existing customization. It took a year to resolve this by building a proper plugin API once the real need—personalization—was clearly understood.
- The Right Path: Users constantly asked for the ability to "merge" traces. Instead of rushing to implement it, the team waited, pointed users to workarounds, and continued to observe the problem space. This patience allowed them to build the feature in a maintainable way because they fully understood the requirements before writing a single line of code.
The Tension: Support vs. Condescension
This approach is not without its critics. Some argue that this strategy can be infuriating for experienced users who know exactly what they need, or that it mirrors the obnoxious "before I answer thee, thou must first answer me these questions three" culture often found on Stack Overflow.
To avoid appearing condescending, the strategy requires a high degree of empathy and domain expertise. It is not about gatekeeping information, but about collaborative discovery. As noted in the community discussion, the success of this method depends on several factors:
- Providing the answer first: Always give the direct answer to the immediate question before asking for context.
- Judging the audience: Be charitable. If the user is clearly an expert in the field, the need for a philosophical deep-dive is significantly reduced.
- Deferring to the user: If a user pushes back, the developer should defer to the user's read of the situation.
Conclusion
Taking a small step back from the urge to be immediately responsive allows developers to transform a routine support ticket into a product insight. By asking "why" before "how," engineers can ensure they are not just solving the symptoms of a user's struggle, but are improving the tool's philosophy and the product's long-term viability.