How to use DEI analytics software to build inclusive teams

Last reviewed August 2026

DEI analytics software collects and analyses data on diversity, equity and inclusion across the employee lifecycle: hiring, pay, promotion, engagement and retention. It goes past headcount reports to show where diverse candidates drop out of your funnel, whether every group feels included, and which interventions actually change the numbers. This guide covers what to measure, how to measure DEI in hiring, and which tools do which job.

What DEI software should measure

Many HR leaders know a diverse team is a more resilient one, but proving the return on DEI work to an executive team is hard without the right instruments. Anecdotes and headcount reports tell you where you are. They do not tell you why, or what to do next.

The limits of manual tracking show up fast. If you only measure gender or ethnicity at the point of hire, you miss the leaky bucket in middle management and the cultural friction driving turnover in specific groups. Useful DEI analytics covers the whole lifecycle through an equity lens:

• Representation by level, function and location, tracked over time rather than as a snapshot.
• Hiring funnel conversion by group at each stage: application, screen, interview, offer, acceptance.
• Pay equity: like-for-like pay gaps after controlling for role, level and tenure (start with the glossary entry on pay equity if the terminology is new).
• Promotion and retention rates by group, which is where most "we hire diversely" stories fall apart.
• Inclusion and belonging: engagement, psychological safety and sentiment segmented by group, not averaged across the company.
• Cognitive diversity: the mix of thinking and working styles on each team, which demographics alone do not show.

The research behind the Compono Culture, Engagement and Performance Model shows inclusion is a foundation of high performance. When people can bring their authentic selves to work, engagement climbs. Getting there requires understanding the work personalities on your team and whether your culture supports a range of thinking styles.

What analytics platforms support DEI hiring measurement

Hiring is where DEI analytics earns its keep fastest. Traditional recruitment carries unconscious bias at every step, from job ad language to the gut feel an interviewer forms in the first minute. Those biases lead us to hire people who remind us of ourselves. Measuring DEI in hiring needs three kinds of data, and usually more than one tool:

• Job ad language. Coded words shape who applies. Tools such as Textio flag exclusionary language at scale; the free gender decoder does the same for a single ad.
• Funnel analytics. Your ATS should report conversion by stage and by group so you can see whether the initial screen is too narrow or whether interviewers consistently rate certain groups lower. Most modern ATS and people analytics platforms (Visier, Workday People Analytics) can cut the funnel this way if the data is captured.
• Standardised assessment. Compono Hire scores and ranks candidates on job fit and organisation fit through a multi-dimensional assessment, so every candidate is evaluated on the same criteria rather than a first impression, and the ranking can be audited.

With that transparency you can make targeted changes, such as de-identified resumes or structured interviews, and measure whether they move the numbers.

Best DEI analytics software: the tools compared

There is no single best DEI analytics software, because the category is really four jobs. Capability-level claims only; check current features with each vendor.

The Compono fit boundary is worth stating plainly: it is not a pay-equity engine and it does not produce statutory diversity reports. It measures how people work and whether they feel included, and it removes first-impression bias from hiring. If you want the wider people analytics category explained, our people analytics software guide covers it.

Best HR software for measuring DEI metrics in a mid-market company

A mid-market HR team of two or three people cannot run five DEI tools. The pragmatic stack is: an ATS that reports funnel conversion by group, an engagement platform that segments results by team and demographic, and a pay-equity check you can run without a data scientist (the free gender pay gap calculator is enough to see if you have a problem worth a deeper look). Add cognitive-diversity data when you want to move from counting people to understanding how teams actually work. That is where Compono Engage sits for most mid-market buyers.

From demographic data to cognitive diversity

Demographic tracking is the compliance layer, and it is only the first layer. The more mature use of DEI analytics measures cognitive diversity: the different ways people think, process information and approach problems. A team of people who all look different but think identically will still fall into groupthink.

Assessing work personality keeps teams diverse in how they approach the work itself. A team made up entirely of Pioneers generates ideas but struggles to execute; a team of Auditors is precise but short on creative spark. Genuine inclusion means valuing and integrating the full range of working styles (Doer, Auditor, Helper, Advisor, Pioneer, Campaigner, Evaluator and Coordinator) into one unit.

Mapping these traits across the organisation also exposes where your culture accidentally excludes. If promotion criteria quietly favour louder, more energetic Campaigners while overlooking the steady contribution of Doers, the data will show it, and you can rebalance the leadership pipeline deliberately.

Measuring the I in DEI: inclusion and belonging

You can build the most diverse team in the country, but if people do not feel included they will not stay. Inclusion is hard to measure because it lives in subjective experience, which is why modern platforms quantify it through engagement surveys and sentiment analysis.

The key capability is segmentation. If your overall engagement score is high but a minority group reports low psychological safety, you have an inclusion problem that a company-wide average was hiding. That granular view is what makes early intervention possible. Compono Engage provides that read on team culture, surfacing hot spots of exclusion before they become resignations. Acting on the feedback, visibly, is what convinces employees the measurement is genuine.

Leadership and data-driven DEI

Data alone will not change a culture, but it changes what leaders can do. Many managers freeze on DEI because they fear saying or doing the wrong thing. Clear, actionable data replaces that anxiety with a plan.

Frame the data as team improvement rather than critique. A manager who learns their team lacks a Helper's collaborative glue or an Advisor's counsel can hire or develop for those traits, which shifts the conversation from meeting quotas to building a stronger team. Sharing progress openly, including where the numbers are not moving, builds trust. Employees notice the difference between an organisation that talks about DEI and one that measures it, manages it and reports on it like any other part of the business.

Frequently asked questions

What is DEI analytics software?

It is technology that collects, analyses and reports on diversity, equity and inclusion data. It goes past headcount to cover pay equity, promotion rates, hiring funnel conversion and employee sentiment across different groups.

What is the best software for DEI analytics?

It depends on the job. Culture Amp and Diversio for inclusion surveys, Syndio for pay equity, Textio for job ad language, Visier for enterprise people analytics, and Compono for cognitive diversity, segmented engagement and fair hiring. Most organisations combine two or three.

What analytics platforms support DEI hiring measurement?

You need job ad language checks (Textio or a gender decoder), ATS or people analytics funnel reporting by group, and standardised candidate assessment such as Compono Hire so every applicant is scored on the same criteria.

How does data help reduce bias in hiring?

It replaces subjective gut feel with objective scores based on skills, work personality and organisation fit. A standardised assessment process measures every candidate against the same criteria and shows where in the funnel groups drop out.

Is DEI analytics software only for large companies?

No. Mid-sized organisations benefit strongly. It helps a small HR team focus limited resources on the interventions that will have the biggest cultural impact, usually with an ATS, an engagement platform and a pay-equity check rather than a dedicated suite.