Designed For Impact

A Collaborative Scaffolding Tool For Translating Evidence Into Action.

Welcome

The Designed for Impact Tool (DIT) is a fillable, collaborative worksheet that helps statisticians and domain experts plan for real-world impact from the start of a project.

It guides teams to:

  • Align on goals and expectations
  • Define a clear, decision-focused intended impact
  • Connect analysis choices to that impact
  • Communicate results in a way that supports action

The tool is designed to structure conversations that shape both the analysis and how its results are used.

Why This Matters

As data science becomes increasingly automated, the value of a statistician is shifting.

It’s no longer just about:

  • Running models
  • Interpreting results

It’s about:

  • Asking the right questions
  • Guiding stakeholder decisions
  • Delivering impact that matters

This tool helps bridge the knowledge gap between statistical collaborator and domain expert, moving statisticians from analysts to co-creators of impact.

The Tool

The Designed for Impact Tool (DIT) is a one-page instrument that helps teams define:

  • Vision – What broader goal does this work contribute to?
  • Partnership – What makes this collaboration successful?
  • Impact – What decision or action should this work enable?
  • Analysis Pathway – What methodological choices are needed to support that impact?
  • Narrative – How will results be communicated to drive action?

Download the Tool

Blank Template

View Blank Template

How-To Guide

View How-To Guide

The how-to guide provides a one-sentence description for each dimension and 1-2 key questions that statistical collaborators can pose to domain experts.

Last Updated: April 22, 2026 (v6.0)


Explore Use Cases

The DIT can be adapted across different collaborative settings.

Use In Industry

Use In Industry

Use In Academia

Use In Academia


About This Project

This website accompanies a master’s thesis focused on improving statistical collaboration and impact.

The project:

  • Extends the QQQ and ASCCR frameworks
  • Introduces structured impact planning conversations to the statistics and data science collaborative workflow
  • Develops and validates a practical consulting tool

Get Involved

If you are:

  • A statistician
  • A data scientist
  • A consultant
  • A researcher
  • A student

I’d love your feedback.

Feel free to reach out or use the tool in your own work.

Learn more about me at my personal website.