In a recent LinkedIn post, Teresa Torres discusses the pervasive issue of product teams falling into “feature factory mode,” particularly with the current surge in AI-driven product development. Torres argues that this cycle, where teams rapidly ship features without ensuring they address the right problems, is a significant pitfall. She emphasizes the need to shift stakeholder relationships from being sources of conflict to becoming active partners in the product discovery process.
The Pitfalls of Feature Factory Mode
Torres highlights a common scenario where the focus on delivering features, often driven by stakeholder requests, overshadows the actual value being created. She directly addresses this, stating:
“All we are doing is shipping the wrong stuff faster.” 🚀
This observation underscores a critical challenge: the speed of delivery is not a proxy for success if the product isn’t solving the right problems. According to Torres, the prevailing trend of prioritizing AI features on roadmaps can exacerbate this problem, pushing teams back into a mode of simply fulfilling requests rather than strategic problem-solving.
Transforming Stakeholder Relationships
A core theme in Torres’s post is the strategy for transforming these often-contentious stakeholder interactions into collaborative partnerships. She proposes several actionable steps:
- Start with shared outcomes, not solutions: Aligning on the desired results before diving into specific features is crucial.
- Use the opportunity solution tree: This framework can serve as a powerful tool for stakeholder management, providing a shared visual understanding of the problem space and potential solutions.
- Invite contribution: Instead of presenting finished ideas, Torres suggests engaging stakeholders by asking questions like “did we miss anything?” This fosters a sense of shared ownership and can uncover blind spots.
- Share assumption tests and results: Transparency about the discovery process, including the evidence gathered, is key. Torres advises sharing the journey, not just the destination.
- Show your work continuously: Moving away from infrequent, large reveals to a more iterative and ongoing communication style helps keep stakeholders informed and involved.
- Tailor communication: Recognizing that different stakeholders have different needs and levels of engagement, Torres recommends adapting the detail and format of communication accordingly.
Leveraging Information Over Opinion
Torres emphasizes that winning arguments with stakeholders based on opinions is a losing battle. Instead, she advocates for leveraging objective insights derived from the discovery process.
“You can’t win opinion battles. But you can bring information your stakeholders don’t have—insights from customer interviews, data from assumption tests, patterns in the opportunity space that they haven’t seen.”
This approach empowers product teams by grounding discussions in evidence rather than subjective preferences. As Torres points out, providing stakeholders with data and insights they haven’t encountered can fundamentally shift the conversation from one of debate to one of informed decision-making.
Navigating AI Feature Requests
The proliferation of AI capabilities presents both opportunities and challenges. Torres’s framework is particularly relevant in this context, offering a method to manage requests for AI-driven features effectively. By focusing on outcomes and sharing the discovery process, teams can ensure that AI is applied to solve meaningful problems, rather than simply being added because it’s the latest trend.
In conclusion, Teresa Torres’s insights on LinkedIn offer a practical guide for product leaders seeking to escape the feature factory trap. By fostering genuine collaboration with stakeholders and grounding decisions in customer and data insights, teams can ensure they are not just shipping faster, but shipping the right things.
📝 About This Content
This article is based on insights shared by Teresa Torres on LinkedIn.
📅 Originally posted on March 4, 2026 | View original post on LinkedIn →