We’re excited to share the next wave of Foresight Best Practices in the Community, featuring 10 new best practices.
➡️This second set of articles continues to expand on practical guidance for working effectively in Board Foresight. While the first wave focused on core modeling and data fundamentals, this new group rounds out additional approaches for building confidently and competently across the platform — from strengthening data preparation habits to refining Predict configuration and scenario design.
☑️These best practices are designed to reinforce sound analytical judgment, encourage disciplined workflows, and help users make thoughtful decisions at each stage of the Foresight process. Many of the new entries focus on areas where small adjustments — like validating expected sign direction, monitoring residual drift, or aligning seasonal treatment — can have a meaningful impact on model stability and interpretability.
As with the first wave, this is not meant to be a static library. We’ll continue to add to and refine this collection over time as the platform evolves and as we incorporate additional lessons learned from real-world usage.
We encourage you to explore the latest additions and revisit earlier entries as your analyses grow more advanced. Pro tip: A complete list can quickly be scanned in the Table of Contents.
👉 Take a look at the updated Foresight Best Practices space and let us know what topics you’d like to see covered next. Leave us a comment below.
