In a recent LinkedIn post, product management expert Melissa Perri discusses a pervasive challenge facing modern businesses: the disconnect between vast amounts of available data and the actionable insights needed for strategic decision-making. Perri highlights a common scenario where product teams are inundated with data and analytics tools, yet struggle to extract meaningful information for critical leadership decisions.
Perri points out the irony of this situation, stating:
“Your product teams are drowning in data and starving for insights. I’ve seen this in almost every company I’ve worked with. They have dashboards everywhere. Analytics tools stacked on top of each other. Weekly reports nobody reads. And yet when a product leader needs to make a strategic decision, they spend days pulling together the information they actually need.”
The core of the problem, as Perri explains, is not a scarcity of data but a failure to translate raw information into decision-relevant insights. She emphasizes that the first pillar of product operations, specifically focusing on Business Data and Insights, is designed to address this very issue.
From Data Overload to Strategic Clarity
Melissa Perri argues that an effective approach to data and insights begins not with the existing data repositories, but with the strategic questions leadership aims to answer. This backward-thinking process involves identifying key business inquiries, such as understanding churn drivers in specific customer segments, pinpointing where customers are lost in their journey, or evaluating the success of strategic bets.
According to Perri, the crucial step is to work backward from these questions to determine which data points are significant, how to contextualize them appropriately, and most importantly, how to present them in a manner that encourages action.
The Critical Role of Framing and Visualization
Perri stresses that the method of presenting insights is as vital as the insights themselves. She elaborates on this point:
“That last part is where most companies fall apart. Visualization and framing determine whether an insight drives action or gets buried in a Confluence page. A well-framed insight changes the conversation in a leadership meeting. A raw data dump just creates more questions.”
This highlights Perri’s view that a raw dump of data, no matter how comprehensive, is unlikely to drive change. Instead, it’s the art of framing and visualizing the data that transforms it into a catalyst for informed decisions and productive leadership discussions.
Rethinking the Data-to-Decision Infrastructure
Melissa Perri contends that if teams are spending an excessive amount of time searching for data rather than acting upon it, the root cause is not necessarily a deficiency in the tools themselves. Instead, the issue lies within the underlying infrastructure that connects the data to the decision-making processes.
She further explains the impact of this gap:
“If your teams are spending more time hunting for data than acting on it, the issue isn’t the tools. It’s the infrastructure between the data and the decisions.”
Perri suggests that addressing this requires a focus on building a robust product operations framework that ensures data is not only collected but also processed, analyzed, and presented in a way that directly supports strategic objectives. For organizations seeking to improve this crucial link, Perri mentions an upcoming ProdOps 101 workshop, co-led by Denise Tilles, designed to tackle these challenges.
Ultimately, Melissa Perri’s insights serve as a call to action for businesses to re-evaluate how they manage and leverage their data, emphasizing the need for a strategic, question-driven approach to transform data overload into a powerful engine for informed decision-making.
📝 About This Content
This article is based on insights shared by Melissa Perri on LinkedIn.
📅 Originally posted on April 12, 2026 | View original post on LinkedIn →