About Benchlytics

Research built by the organizations that use it.

You deserve access to the same quality of peer benchmarking data that was previously available only to organizations with the largest research budgets. That conviction is why Benchlytics exists.

"The most useful benchmarks are the ones organizations contribute to. They carry the credibility of shared investment and the accountability of mutual transparency." Dr. David L. Harkins, Founder

Most benchmarking data is gathered by consultancies and sold back to the organizations whose information it was derived from, often at prices that exclude the very organizations that need it most.

Benchlytics is built on a different model. Member organizations contribute data, shape the metrics that matter in their industry, and receive benchmarks that reflect actual peer performance, not analyst estimates or vendor-sponsored surveys.

The result is a living, quarterly-updated dataset held in trust for the consortium, not owned by any single vendor or research firm.

Why we built this

For decades, the benchmarking industry has operated on an extractive model: gather data from organizations, package it as proprietary research, and sell it back at a premium. The organizations that contributed the most data often had the least access to the findings.

Benchlytics is a different kind of research organization. We operate as a data cooperative, a consortium in the true sense of the word. Every member contributes anonymized performance data on a quarterly basis. Every member receives the full benefit of the aggregated dataset. The benchmarks improve as the consortium grows, and every new member makes the data more valuable for everyone already in it.

This model is not new. It is, in fact, how the most durable research consortiums in other fields have operated for generations. What is new is applying it systematically across organizational functions and industries, with the rigor and methodological transparency that institutional research demands.

Our research methodology

Every Benchlytics benchmark is built to a consistent set of principles. The full methodology is documented and shared with consortium members during onboarding.

The role of organizational functions

A distinguishing feature of Benchlytics data is that every industry submission includes a standardized set of organizational function metrics: HR and People Operations, Finance, Marketing, IT and Information Security, Operations, and Constituent or Customer Success.

This cross-functional dataset serves two purposes. First, it allows industry benchmarks to be contextualized against the organizational health of the contributing entity. Second, it builds the foundation for a dedicated functional benchmarking research program, launching in 2027, that will allow cross-industry comparison of organizational functions for the first time. Benchlytics has developed a library of more than 60 benchmarks across organizational functions that cohorts can choose from, and founding members can propose additional metrics specific to their industry.

Our commitment to members

Benchlytics makes the following commitments to every member organization:

About the founder

Dr. David L. Harkins has spent more than two decades working at the intersection of applied research, marketing research, and organizational strategy. He founded Benchlytics from the conviction that rigorous, independent benchmarking should be accessible to any organization, not only those with the resources for enterprise consulting.

That orientation shapes every aspect of how Benchlytics is designed: the methodology is transparent, the data definitions are precise, and the findings are stated with appropriate care. More information about Dr. Harkins is available at davidharkins.com.

01
Data belongs to the consortium
No single party, including Benchlytics, owns the contributed data. It is held in trust for the benefit of all contributing members.
02
Methodology before collection
We define and document what we will measure, and how, before we ask anyone to contribute data. No retroactive metric changes.
03
Participation earns access
Membership access is contingent on active data contribution. Payment alone is not sufficient. The data cooperative only works if everyone contributes.
04
Findings stated honestly
We report what the data shows, including confidence intervals, sample sizes, and limitations. We do not overstate our findings.