Gain Rigorous Insights with The Culture Dig
A guided way to find out what your organization’s culture is really doing. Seven small teams dig into the evidence while everyone else contributes a short story.
How Culture Dig works
Culture Dig is an 8–12-week program built on Edgar Schein’s three-level model of culture. Seven small teams dig into the evidence while everyone else contributes a short story. Then you bring both together into one report.
- 1. Setup & Orientation
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1. Setup & Orientation
Your Program Lead sets up the program, invites the teams, and gets a research guide for each one. Suggested dates are generated for you.
- 2. Team Research
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2. Team Research
Seven small teams each take one area of your culture: Beliefs & Values, HR Systems, Artifacts, History, Stories, Rituals, and Stakeholders. They log observations, gather artifacts, and submit a synthesis.
- 3. Story Collection
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3. Story Collection
While the teams work, everyone else gets one link and shares a short, real story in their own words (about five to ten minutes, no account needed). What the teams find shapes what everyone is asked.
- 4. Analysis
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4. Analysis
The two evidence streams are read against each other. The teams explain why something happens; the stories show how widely it’s felt. Where they disagree, you learn where to look.
- 5. Reporting
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5. Reporting
A findings report with an executive summary, “Where to start” priorities, and a score for each area. Every score shows its margin of error.
The result is a findings report your leadership team can act on: an executive summary, “Where to start” priorities, and a score for each of the seven areas, each shown with its margin of error. Add a later wave to see what has changed since the last one.
Drive Results with The Culture Dig
Engage your own people in digging deep into your culture. The seven research domains:
✓ Stories
✓ History
✓ HR Systems
✓ Artifacts
✓ Rituals
✓ Stakeholders
✓ Beliefs & Values
Each domain is scored only once it has at least 10 stories, and every score carries a margin of error, so you can see how much weight each finding deserves. See a sample report (a fictional organization).
