Case Study: Uside improves employee survey analysis and change management with Lettria

Uside analyzes employee surveys to monitor conduct of change

Uside, a consulting firm specializing in cultural and behavioral change, faced the challenge of manually analyzing over 1,300 employee survey transcripts from workshops. This process was time-consuming, costly, and prone to human error for their client, a company in the energy sector undergoing a major reorganization. They partnered with Lettria to automate the analysis using its natural language processing (NLP) platform.

Lettria implemented a solution that used lemmatization, part-of-speech tagging, and dependency parsing to analyze the survey data. This approach identified key themes, contextualized feedback, and detected employee emotions with 94% accuracy. The project was implemented in two weeks, allowing the client to quickly produce a white paper of best practices and providing Uside with a turnkey tool for future analyses.

Uside