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We've made some updates to our Community Health Index (CHI) to better determine how well your community serves its end-users. Find out what's new in this report.

The CHI is a resource available to community managers to track and gauge community performance based on user behavioral data. A community's CHI score is derived from six health factors: traffic, content, members, liveliness, interaction and responsiveness.

We recently updated and improved our CHI infrastructure and algorithm to better reflect the needs of communities today. We also have some exciting new features on the horizon that we want to share with you.

Get an in-depth look at those updates, plus learn about upcoming changes to the CHI that are enabled by those changes.

Download the report today

"The CHI infrastructure is now entirely based on our event-log framework, built on a highly scalable big data technologies, with bot traffic filtered out."

Better Determine Community Health

Changes to the CHI include infrastructure and algorithm updates geared for efficiency and better measurement. Find out more in the full report.

  • Scalability and Big Data

    We completely revamped the infrastructure for computing CHI. It now has little dependency on the counter-based metrics in our application database—which means that CHI can be computed with little performance impact on the community.

  • Near Real-Time Responsiveness

    CHI was originally designed to capture the long-term sustained health of public participation in the community, ignoring short-lived changes. But some of our customers also said they wanted a more sensitive CHI that reflects the near real-time changes within the community. Find out more in the report.

  • Quantile Scores

    We have normalized the raw health factors by converting them to quantile scores (a.k.a. health scores), making those scores comparable on the same scale, and meaningful because they represent the percentile of how well they perform compare to the population of all other communities.

  • Generalized Mean

    We compute the generalized mean of the six normalized health scores, and then apply a linear function to obtain the final CHI score. You can think of the generalized mean as a non-deterministic, symmetric, weighted average. Learn more in the full report.