AI use cases/Human Resources/Annual review analysis
Human Resources

Annual review analysis

Trends identified in minutes

Annual review write-ups hold valuable material on training needs, career wishes and points of concern. Across several hundred employees, that material goes unused: a consolidated reading exceeds the time an HR department has.

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The automated workflow

A structured process for fast, reliable results.

01

Importing the write-ups

All annual review write-ups are collected (PDF, HR system forms, Word).

02

Semantic analysis

Key themes are extracted automatically: training needs, mobility wishes, sources of satisfaction and dissatisfaction.

03

Trend detection

Aggregation by team, department or company: dominant trends, weak signals, recurring topics.

04

Summary report

A usable report with indicators, a map of needs and HR recommendations.

Tangible results

Minutes
To summarise hundreds of reviews
100%
Reviews taken into account
Prior year
Comparison from one review cycle to the next

Up and running in 3 to 5 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: Annual review analysis

Yes, overall summaries rely on anonymised data. Only authorised HR staff can access individual data, in line with the GDPR.

All common formats: HR system forms, Word documents, PDFs, Excel spreadsheets. The analysis adapts to the structure of your review templates.

Yes, longitudinal analysis shows how needs, satisfaction and emerging topics evolve over several review cycles.

The report sets out the priority actions: training plans to launch, moves to support, managers who need help, departure risks to address.

Ready to automate this workflow?

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

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