Crashes, No Sound, or Screen Glitches?
Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteWindows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallA feature request can sound sensible and still be the wrong product decision. Users often describe a solution they want, not the problem they need to solve. Before adding the feature, ask what they were trying to do, look for the same underlying problem across requests, and check whether the proposed solution fits the product’s core purpose.
Why reasonable requests can create the wrong product
Requests that would obviously expand a product may be easy to question. The harder ones sound small: “Could you add one more filter?”, “Can we have another user role?”, or “It would be useful if this sent a notification.” Each may appear harmless on its own. A steady stream of such additions, however, can leave a product harder to use and maintain.
As an Amazon Associate I earn from qualifying purchases.
As Altuntas Gokcer puts it in “The Most Dangerous Feature Request Is the One That Sounds Reasonable”, “A feature request is not the same thing as a product decision.” The request is evidence to investigate, not an automatic roadmap commitment.
The Tool Desk
Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Find the task behind the requested feature
A person may have a clear idea about what they want added without having identified the best way to address the difficulty they face. Ask: “What were you trying to do when you realized you needed this?” The circumstances can show whether the requested feature is the right fix or whether a different workflow or automation would solve the problem better.
#1 Best Overall
- “Export to Excel”: The underlying task may be sending a report to a manager every Friday. Explore whether the recurring reporting workflow is the problem, rather than assuming an export button is the only answer.
- More notification settings: The user may be missing one important event. Investigate which event matters and why it is not reaching them before adding a broad set of controls.
- Another dashboard: The user may need a faster way to tell whether things are going well. The need is a quick status check; a second dashboard is only one possible response.
These examples do not prove that the requested feature is wrong. They illustrate why the feature name alone may not tell you what outcome the user needs.
Look for recurring problems, not just repeated feature names
Compare requests by the task or friction they describe. Different people may ask for different features while struggling with the same workflow; conversely, several people may request the same feature for different reasons. Understanding that distinction helps avoid treating a surface-level tally as a product decision.
Rank #2
- Physical Condition: No Defects
- Great one for reading
- It's a great choice for a book person
A confident request is not necessarily a common one, and a common request is not automatically the most important. Look for a meaningful pattern in context, but do not mistake a single forceful opinion—or repetition alone—for sufficient evidence. Gokcer does not prescribe a numeric threshold for deciding when a pattern is meaningful, so teams need to assess the evidence in their own product context.
Free tools Windows power users keep installed
One-click scans. No signup required.
Account for the ongoing cost of another capability
AI can make implementation feel easier, which may tempt a team to build more of what users request. But reduced effort to produce a feature does not remove its continuing costs: another product state, another decision for users, another thing to test, and another thing that may break or need maintenance later.
Rank #3
Before committing, consider whether the proposed capability supports the product’s core use case and whether the improvement to the underlying task justifies that added complexity. A feature can be technically easy to build and still make the product worse to navigate or maintain.
Use AI to interpret feedback, not to approve features
Gokcer suggests AI could help group feedback that points to a shared problem, distinguish one-off preferences from recurring workflow friction, flag requests that conflict with a product’s core use case, or surface solutions that do not require another feature. These are proposed uses, not reported results from a tested system. AI-generated groupings or suggestions should therefore inform human judgment, not stand in for it.
Rank #4
A better path from request to roadmap
Instead of moving directly from request to build, use the sequence Gokcer proposes: request → context → pattern → decision → build. First understand the situation that prompted the request; then compare it with other evidence, assess fit and ongoing complexity, and decide whether to build. Sometimes the original feature will be the right answer. The point is to reach that decision by understanding the need, rather than treating the requested solution as proof.
Quick Recap
Best Value
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
