Sharing Data Insights — A Practical Playbook

The Netlify Data Team's approach to proactively sharing data insights to build engagement, visibility, and data literacy across the organization.

The practice

• Carve out a few hours each week to dig around in the data and surface proactive insights
• Dedicated Slack channel (#internal-stats-n-graphs)
• Each analyst/analytics engineer develops one insight weekly
• Schedule posts so 1-2 insights go out daily Monday through Thursday

The insight format (5 questions)

1. "What am I looking at?" — short, informative title setting context
2. "What should I learn from this?" — bullet points with key takeaways, bold the key numbers
3. "What caught my eye?" — a chart or visualization that draws people in
4. "What if I want to know more?" — link to a dashboard or doc with code and methodology
5. "What if I have a question?" — explicit invitation for questions and responses

Why it works

Proactively sharing data insights encourages engagement and collaboration, brings visibility to the data team, increases [[data literacy]], and creates opportunities for deeper business understanding. The feedback loop — colleagues surface things they know that you don't — informs future explorations and makes connections across functions.

Connects to [[data team operations]], [[internal journalism]], [[analytics craft]].

Open questions

• How do you sustain this practice when the team is under delivery pressure?
• What's the minimum team size where this becomes viable?