AI use cases/Human Resources/Employee survey and engagement barometer analysis
Human Resources

Employee survey and engagement barometer analysis

A summary in minutes

Engagement barometers, satisfaction surveys and internal polls produce thousands of verbatims that manual reading struggles to cover at scale. The quantitative results get circulated, while the richest material, the qualitative feedback, stays in the raw files.

Contact us

The automated workflow

A structured process for fast, reliable results.

01

Importing results

Survey results are loaded: quantitative answers and qualitative verbatims.

02

Semantic analysis of verbatims

Comments are categorised automatically by theme, sentiment (positive, negative, neutral) and intensity.

03

Weak signal detection

Emerging topics, differences between populations and trends compared with previous surveys are identified.

04

Actionable summary report

A summary with the dominant themes, points of concern and recommended actions.

Tangible results

Minutes
To analyse thousands of verbatims
100%
Verbatims processed, where manual analysis samples
By population
Segmented by team, site and length of service

Up and running in 3 to 4 weeks

From specification to deployment, with visible results from the first few weeks.

Rapid scoping (1 week)
Working prototype at the halfway point
Deployment and training included

Frequently asked questions: Employee survey and engagement barometer analysis

Engagement barometers, satisfaction surveys, one-off polls, wellbeing at work surveys, 360 feedback. Any exportable format (CSV, Excel, API) is compatible.

Yes, semantic analysis processes verbatims in aggregate, and summary reports strictly preserve anonymity.

Yes, the analysis can be segmented by team, site, length of service or any other criterion defined in the survey.

The report proposes concrete recommendations, prioritised by impact and feasibility, ready for HR leadership and managers to use.

Ready to automate this workflow?

A free first call to assess the feasibility and ROI of this use case in your context.

Contact us

Go further: Bpifrance Data AI diagnosticProof of conceptOur offer