Picture this: your team has five ideas on the table but only enough resources to pursue two of them. The user research is useful but far from conclusive, and stakeholders have conflicting opinions about what should happen next.
Product teams often find themselves in this grey area: juggling user needs against business priorities, and making decisions based on imperfect data.
The biggest challenge is not a lack of knowledge or tools. If anything, we’ve got more of those at our disposal than ever before. The real pain-point actually lies in decision-making. What’s worth building? Where should we focus our efforts when resources are limited? How do we integrate AI without undermining human judgement?
In this post, we’ll explore what product teams are currently struggling with most, and identify the skills that can help.
1. Balancing user needs with business goals
Successful products must create genuine value for users, but they also need to support the goals of the business. Finding that overlap is easier said than done.
Let’s say user research uncovers a usability issue that’s frustrating your customers. Fixing it would improve the user experience, so it seems like a no-brainer. But in reality, it’s competing for roadmap space with a feature that could directly increase revenue. How does the team decide where to focus?
This tension is remarkably common. Recent research from Nielsen Norman Group found that designers often struggle to influence product roadmaps, get teams to act on research, and connect user needs with business outcomes.
More and more, product teams need the skills to connect user insights with wider business goals, and to communicate the value of UX work in terms that stakeholders care about.
That might mean going beyond “users find this frustrating” to considering what this frustration means for conversions, retention, or time and money spent on customer support. The better teams get at making those connections, the easier it is to make decisions that drive value on both sides.
Read also: Balancing user needs and business goals in product design.
2. Knowing what not to build
Most product teams have no problem coming up with ideas. The hard part is deciding which ones are worthy of time and resources.
This is the age-old challenge of prioritisation, and it’s still a major sticking point for teams today. In Atlassian’s State of Product 2026 report, 37% of product professionals said that prioritising which features or initiatives to focus on is one of their most significant challenges right now.
Perhaps the trickiest aspect of prioritisation is knowing when to reject an idea or request, even if it seems worthwhile. Every “yes” comes with an opportunity cost, so teams need to be able to realistically assess the value it can create.
Strong discovery skills can help here. By digging into the underlying user need, testing assumptions and gathering evidence early, teams can make more informed decisions about what deserves a place on the roadmap and what can safely be left behind.
3. Doing great product work when time and resources are limited
In an ideal world, product teams would have plenty of time to research, test and iterate before making important decisions. In reality, there’s usually a deadline looming and a limited budget available.
This pressure is showing up across the industry. Atlassian’s State of Product 2026 report found that 39% of product professionals struggle with balancing competing projects, priorities and team capacity. Almost half also said they don’t have enough time for strategic planning and data analysis.
Doing great product work under these conditions means knowing where to focus your efforts. Sometimes you won’t have weeks to spend on discovery or a huge sample of users to research. The skill lies in choosing the right approach for the time and resources you do have.
In practice, that could be choosing a leaner research method than you’d normally go for, testing the riskiest assumption first, or narrowing the scope of your research to focus only on the most important questions. If you can adapt and scale your approach up or down depending on what’s available, you can make smart compromises without cutting corners.
4. The AI skills gap
AI is already making its mark in product design and development. Of the 1,000+ product professionals surveyed by Atlassian, 77% said AI is saving them time on routine tasks.
But, crucially, there’s also a major skills gap. In the same study, 34% said that adapting to AI is one of the biggest challenges they currently face.
For product teams, that means learning how to make the most of AI without outsourcing the judgement that good product work depends on. AI can help analyse research, generate ideas and speed up prototyping, but teams still need to question its outputs and decide what’s actually useful.
Building AI literacy alongside strong UX and product skills helps you strike that balance. The goal is to use AI to work smarter and faster, while keeping human expertise firmly in the loop.
Read also: The future of UX in an AI world: why designers are becoming strategic leaders.
5. Making confident decisions with imperfect data
Product teams rarely have the luxury of perfect information. Research might point in one direction while the analytics tell a slightly different story. Or there just isn’t enough time to gather all the evidence you’d ideally want before making a decision.
Waiting for certainty isn’t usually an option. Atlassian’s State of Product 2026 report found that almost half of product professionals don’t have enough time for data analysis, highlighting just how often teams are working with an incomplete picture.
The key is knowing how to reduce uncertainty enough to move forward with confidence. Strong research and experimentation skills help teams identify what they really need to learn, choose the right method to test it and recognise when they have enough evidence to make a decision.
That judgement matters. More research isn’t always the answer, but teams need the skills to know when to dig deeper and when it’s time to act.
The common thread: product teams need better decision-making capabilities
Product teams have a lot on their plates. Above all, they’re responsible for delivering products that work for both the end users and the business. At the same time, they’re required to move quickly, juggle competing priorities, make sense of incomplete information, and figure out where AI fits into the picture.
Behind all of these challenges is the same core skill: confident, effective decision-making. In practice, that means being able to:
- Connect user needs with business goals so teams can focus on work that creates value on both sides.
- Evaluate ideas before investing in them, and confidently say “not now” when something doesn’t stack up.
- Adapt when time and resources are tight, choosing the right methods for the situation rather than relying on a perfect process.
- Use AI critically and effectively while keeping human expertise at the heart of important decisions.
- Make sense of imperfect evidence, knowing when to keep investigating and when there’s enough information to move forward.
Unfortunately, there’s no single tried-and-tested formula for ‘good decision-making’. It comes from having the right mix of skills across the team, and knowing how to apply them when real-world product problems crop up.
That’s where training can make a notable difference. By building those capabilities in-house, organisations can give their teams a stronger foundation for tackling the messy, everyday decisions that come with building great products.
Build those capabilities in-house with the UX Design Institute’s training for teams
The UX Design Institute’s training for teams helps product and design teams build practical skills they can apply in their day-to-day work.
Maybe your team needs to get better at user research, or you want everyone working from the same UX foundations. Perhaps AI is the bigger priority right now, and your people need practical skills to use it confidently.
You can choose from training across UX and product design, user research, content design, accessibility and AI, and put together a learning plan based on what makes sense for your team. Training can be self-paced, delivered live online or in person, or combined into a custom programme.
Over time, that means more of the knowledge and skills needed to navigate tricky product decisions sit within the team itself, ready to draw on when those challenges inevitably arise.
Learn more about team training here, and check out the following articles for more industry insights:
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The biggest AI barriers in the workplace (and how to overcome them)
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What is the European Accessibility Act and what does it mean for UX design?
Emily is a professional writer and content strategist with an MSc in Psychology. She has 8+ years of experience in the tech industry, with a focus on UX and design thinking. A regular contributor to top design publications, she also authored a chapter in The UX Careers Handbook. Emily also holds a BA in French and German and is passionate about languages and continuous learning.
