
The Biggest Roadmap Mistake: Prioritizing Low-Impact Features
Learn the warning signs of feature bloat and how data-driven prioritization helps build products faster, with fewer resources, and with much better outcomes.
Picture this: Your product team just wrapped up the quarter with a bang. Fifteen new features shipped. The engineering and development teams are exhausted but proud. The roadmap is color-coded and beautiful.
But then the metrics start to roll in. Conversion rates are flat. Churn is up. Customer satisfaction scores haven’t budged.
Sound familiar? You’re not alone.
Most SaaS companies are stuck in a feature factory, churning out functionality users don’t want, don’t use, or actively avoid. While your competitors are optimizing the core experiences that drive growth, you’re polishing the peripheral features.
Here’s the uncomfortable truth: You’re probably building the wrong things.
The hidden cost of feature bloat
Low-impact features aren’t just harmless additions to your product; they’re silent growth killers. Every hour spent building or optimizing a feature that doesn’t move the needle is an hour stolen from something that could grow your business.
But what exactly makes a feature “low-impact”? It’s not about whether the feature works or whether someone, somewhere, might find it useful. Low-impact features are those that:
- Address edge cases rather than core user needs
- Generate minimal usage after launch
- Don’t correlate with key business metrics like retention or expansion revenue
- Create more complexity than value
According to research by UserPilot, the average core feature adoption rate is 24.5%. That means more than 75% of features might as well not exist from a user perspective.
When a SaaS company prioritizes those extra features, it is likely suffering from feature bloat.
Feature bloat is costly for your team, your users, and your business. An excess of features creates complexity and detracts from your product’s core value. Sometimes, feature bloat can actually prevent your product from doing its main job.
The cost of feature bloat develops quickly. Some examples include:
Development opportunity cost: While your team builds that quirky reporting dashboard that three power users requested, your core onboarding flow continues to hemorrhage trial users.
User experience degradation: Every new feature is another decision your users have to make, another item in the navigation, another potential source of confusion. Research from the Nielson Norman Group shows that feature bloat directly correlates with decreased user satisfaction and other industry experts agree. Jared Spool calls it experience rot and often highlights the inevitable complexity creep and user experience decline that occurs when teams add features without ruthless prioritization.
Technical debt accumulation: Low-impact features still need maintenance, bug fixes, and updates. They create dependencies that slow down future development and increase the risk of breaking changes.
Low-impact features don’t just waste resources; they actively prevent you from building high-impact ones.
Consider a hypothetical case of a B2B SaaS platform that spent six months building an advanced scheduling feature requested by their largest enterprise client. The feature worked beautifully for that one client, but sat unused by 98% of their user base. Meanwhile, their core product suffered a 60% drop-off rate during onboarding. This was a fixable problem that could have doubled their conversion rate.
The real kicker? That scheduling feature became a maintenance burden, requiring updates every time they changed their core platform. What started as a “quick win” became an ongoing resource drain.
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Warning signs you’re in the feature bloat trap
It isn’t always easy to identify if and when you’re prioritizing low-impact features. Here are some of the common red flags that might make you think twice about how you’re building your roadmap:
- Lack of data: Decisions based on gut feeling rather than data-driven insights can easily lead to prioritizing the wrong things.
- The squeaky wheel syndrome: Your roadmap is driven by whoever complains loudest, not by what data shows you should build.
- Internal politics: Sometimes, features are prioritized based on the influence of certain stakeholders rather than their actual value to the user or the business.
- Fear of risk: High-impact features often involve more risk and uncertainty. Teams might opt for safer, less impactful options to avoid potential failures.
- Shiny object syndrome: New feature ideas consistently trump optimization of existing functionality, or the allure of new and trendy features can sometimes overshadow the importance of addressing core user needs.
- Short-term focus: A focus on immediate gains can lead to neglecting long-term strategic goals and prioritizing quick wins over sustainable growth.
- The metrics disconnect: You can’t clearly articulate how each planned feature connects to business outcomes like revenue, retention, or user satisfaction.
- Poor prioritization framework: Without a clear and consistent framework for evaluating and prioritizing features, it’s easy to fall into the trap of prioritizing the wrong things.
- The “just one more thing” mentality: Features keep getting added to releases because they seem small and easy.
The longer your team functions in the trap of any of these situations, the harder it is to change the behavior. So, if this resonates, try to get your team on board to shift behavior and implement some of the strategies we outline below.
A better way: Data-driven prioritization
The solution isn’t to stop building features, it’s to build and optimize the right ones. This means establishing clear criteria for what constitutes “high-impact” before you write a single line of code.
Start with the outcome, not the output
Instead of asking “What features should we build?” ask “What user behaviors drive business growth, and how can we encourage more of them?”
Implement continuous user research
Don’t just collect feature requests, use them as an opportunity to understand the underlying problems. Continuous research that includes things like regular user interviews, behavioral analytics, and feedback loops can help you distinguish between what users say they want and what actually drives value.
Continuous research also allows you to test assumptions before implementation. Including rapid testing in your workflow can help you get fast, early feedback on concepts from real users for better direction.
Let the data guide decisions
Base your prioritization decisions on data from user research, analytics, and market analysis so that you can focus on what users truly need and what will drive the most significant impact.
Use prioritization frameworks consistently
Tools like RICE (Reach, Impact, Confidence, Effort) or the ICE (Impact, Confidence, Ease) scoring model help you compare feature ideas objectively. The specific framework matters less than using one consistently.
At The Good, we use the ADVIS’R Prioritization Framework™ to guide our optimization strategy.
Measure everything
For every feature you build, define success metrics upfront. If you can’t measure whether a feature is working, you can’t determine if it’s worth the investment.
Consider the indirect impact
Sometimes, a feature might not directly impact a North Star metric but could have a significant indirect impact. For example, improving the onboarding experience might not immediately increase conversion rates but could lead to higher user retention and lifetime value in the long run.
Focus on your most valuable users
Part of building and optimizing the right features means understanding your users. If you haven’t, conduct a step-by-step user segmentation study to help identify your highest-value users. Then you can tailor feature prioritization and optimization to their use case before moving on to other segments. A feature that’s high-impact for one segment might be low-impact for another.
Embrace the power of “no”
The most successful product teams are ruthless about saying no to good ideas so they can say yes to great ones. Create explicit criteria for what doesn’t make the cut. It’s okay to say “no” to features that don’t align with your strategic goals or offer significant value.
Moving beyond the feature bloat factory
Breaking free from the low-impact feature trap requires discipline, but the payoff is substantial. Companies that master prioritization don’t just build better products; they build products faster, with fewer resources, and with much better business outcomes.
The goal isn’t to build everything your users request. It’s to understand what truly drives value and relentlessly focus on that.
Your roadmap should be a strategic weapon, not a wishlist. Every feature should earn its place through clear evidence that it will move the metrics that matter.
Stop building features. Start building value.
Struggling to identify which features truly drive growth? Our Digital Experience Optimization Program™ helps SaaS companies cut through the noise and focus on changes that move the needle.

About the Author
Caroline Appert
Caroline Appert is the Director of Marketing at The Good. She has proven success in crafting marketing strategies and executing revenue-boosting campaigns for companies in a diverse set of industries.