![]() As a decision-maker, you have a responsibility to review the disaggregate data and ask how it was gathered and analyzed.įor example, imagine your organization conducts an annual staff survey to inform its strategic priorities. If you lead a development organization or a large project, you’re likely receiving regular reports from staff with insights and recommendations. Ensure data is representative of all groupsĮmploying a diversity, equity, and inclusion lens in every decision might be time-consuming, but it is necessary. ![]() In contrast, starting with a clearly defined problem and question before collecting data helps to ensure that the data you collect will meet a real need. Too often in development, we find ourselves looking at available data first and then searching for a problem or decision the data could help us address. ![]() The first step is to articulate an information gap that, if resolved, would facilitate more effective decisions.Īsk yourself, “What evidence would be valuable and influential as I make this decision?” The foundation of a data-informed decision-making process is to formulate a question or problem statement to determine your objectives and better inform the data gathering, cleaning, and analysis.įor example, the human resources department at Google wanted to answer the following question: “Do managers make a difference in their team’s performance?” By asking this clearly defined question at the outset, the team was able to identify relevant data sources, such as employee surveys and performance reviews, to better inform hiring, training, and (when necessary) firing decisions about managers. Here are five tips for making data-informed decisions in these and other real-world scenarios. Sometimes using data to make decisions would even have a negative impact on colleagues and be strongly opposed by important stakeholders. ![]() Development professionals want to use data to inform decisions, but often the available datasets don’t address the relevant questions or it’s unclear how the data was gathered. ![]()
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