Team can’t prioritize without you? Check these 3 things about your leadership style

If teams struggle to weigh the tradeoffs without your involvement, it may be a reflection of the systems you’ve put in place as a leader.

Banner image with illustration of a man considering his reflection as a leader of engineering teams.

Team can’t prioritize without you? Check these 3 things about your leadership style

If teams struggle to weigh the tradeoffs without your involvement, it may be a reflection of the systems you’ve put in place as a leader.

Banner image with illustration of a man considering his reflection as a leader of engineering teams.
Chapters

Does this sound familiar: A business leader has an amazing, game-changing idea. She brings it to your product teams to make it happen. But your team is unable to step through the decision-making process without you, analyzing the priority, weighing the trade-offs, and giving a clear and reasonable answer.

So, naturally, the request is escalated to you, the senior engineering leader. Now you have to jump in, learn the issue for yourself, and make a call.

If you head up a growing engineering function, a key part of your role is putting in the decision-making frameworks that allow decentralizing decisions to your management team. If they can’t prioritize new requests without you, it may be a reflection of the systems you’ve put in place as a leader.

Here are three things to check about your leadership style and methods.

Have you communicated a high-level roadmap?

When business leaders simply assume your team has the capacity to take on new work, it generally means they don’t know what the team is already committed to and working on. Here are some things you can do:

  • Ensure you are clearly communicating your high-level roadmap, at a minimum on a quarterly basis.
  • Provide your stakeholders with a self-serve dashboard where they can see the initiatives and features in progress as well as what’s coming up next.
  • Ensure your company understands the ‘product development system’, i.e., the inputs, outputs, and feedback loops that inform your decision-making and prioritization.
For more great tips, watch our session on How to Excel at Engineering Initiatives.

Are your teams aligned on strategic outcomes?

To scale an engineering organization, you need a North Star that everyone is aligned to. The North Star provides a framework for your teams to make those day-to-day decisions.

  • Make sure your teams understand the company’s strategy and how engineering supports it. If your teams are struggling to triage incoming requests and make a call, it may be a sign that the vision and strategy for engineering is unclear.
  • Make the translation from high-level goals to the engineering effort tangible. Accompany major undertakings with a one-pager that explains the current state and what you aim to achieve and how this ties back to the company’s strategy and OKRs.
  • When a new request comes in, have your team explicitly articulate the hypothesis and ask how this specific request will help achieve the North Star. Which business problem is it solving and how will this tech undertaking enable that? To paraphrase, if we do this, how will we move the needle on a key metric?

Do teams know when rapid experimentation is encouraged?

While some product areas are proven growth engines with well-informed roadmaps, others might be much more experimental. In those areas, nothing is set in stone and the goal is to prototype and learn quickly.

If that's the case, help the team understand that a lot of change is expected and natural. Accepting requests to try something new — and often — should be welcome.

  • For experimental areas, create a baseline understanding that experimentation is expected while you figure out product-market fit.
  • Consider setting some goals around the experimentation itself that the team can work towards. For example, set a goal to experiment with 20 GenAI prototypes a month. Within that bucket, the team can make decisions autonomously with their cross-functional partners.

In summary, by implementing a transparent high-level roadmap, ensuring that the team's efforts are in sync with the organization's North Star, and embracing the dynamism of experimental projects, you can effectively decentralize decision-making and become a stronger leader.

For more frameworks and strategies for scaling your engineering organization as your business grows, watch our session on How to Excel at Engineering Initiatives.
Naomi Lurie

Naomi Lurie

Naomi Lurie is Head of Product Marketing at Faros. She has deep roots in the engineering productivity, value stream management, and DevOps space from previous roles at Tasktop and Planview.

Graduation cap with a tassel over a dark gradient background.
AI ENGINEERING REPORT 2026
The Acceleration 
Whiplash
The definitive data on AI's engineering impact. What's working, what's breaking, and what leaders need to do next.
  • Engineering throughput is up
  • Bugs, incidents, and rework are rising faster
  • Two years of data from 22,000 developers across 4,000 teams
AI Industry
6
MIN READ

An open source team barred AI code. Our data shows a better fix.

Restrictions on AI-generated code are spreading across open source projects as review queues overflow. Our Speed Trap report shows what that costs teams and what to do instead.

AI Industry
7
MIN READ

What is an AI-native engineering organization?

AI-native engineering organizations build software delivery around AI agents. See the six characteristics that separate AI-native from AI-assisted software development.

AI Industry
4
MIN READ

Your AI bill doesn't tell you what you think it does

Six webinar takeaways from Faros CEO Vitaly Gordon on measuring AI spend by cost per outcome, setting smarter quotas, and choosing models using your own code.