AI-Powered Feedback Analysis
Aparajith Aradhya
AI-Powered Employee Feedback Analysis - Turning Conversations Into Growth
People spend the majority of their day at work. It's important to build a culture of open feedback, appreciation and continuous learning for everybody to thrive.
Role: User Research, UX/UI design, Visual design, Prototyping
Employee performance systems are broken. Appraisals alone can't help individuals become better. These are good for evaluation but fail to improve performance. Both appraisers and appraisers dislike the long, laborious process. We set out to change this system by designing a performance-focused solution.
Research
We spoke to people across different roles and company sizes. It was clear: users needed a transparent feedback system that was less formal and more frequent. They needed feedback in context to what they were doing, not after it was done.
Insights:
Effective feedback is frequent, context based and 2-way.
A culture of appreciation thrives when small wins are celebrated in public.
Learning is effective when it is bit sized and in context to the feedback.
User persona developed from user interviews
Solution
Armed with these insights, we set out to design a solution that integrated Feedback, Appreciation and Learning into one cohesive solution.
Feedback
We made giving and receiving feedback frictionless by removing these 2 barriers.
1) Reduced the initial hesitation to ask for feedback by gently nudging employees to ask for feedback.
2) Help managers and peers provide actionable feedback by breaking it into 2 sections- Positive feedback first, followed by ways to improve. This made sure that the feedback was well rounded and actionable.
Kudos
We found that appreciating each other was contagious. The more employees appreciated each other, the better they felt.
1) Kudos made sharing wins easy. Employees could share appreciation and wins on social media.
2) We made it It was easy to like, share and respond to appreciation messages by showing them in a public feed.
3) We helped people remember the values and act accordingly by the act of repetition. Every appreciation was linked to company values.
Learning
Learning programs
Learning is effective when it is bite sized and in context to the feedback.
1) Bite sized learning
Employees learn better when the learning material is presented in short, manageable programs. They were able to engage better given their busy schedules and short attention spans.
2) In context
Employees had to apply learning in everyday work to make real progress. That's why the learning programs were linked to the areas of improvement that were analysed in the feedback trail.
Result
Users loved the way we integrated feedback, appreciation and learning.
We solved a gap in the current HR systems by creating a platform for employees to exchange feedback openly, appreciate teammates and be appreciated in return. They learnt skills that they needed the most at their own pace and applied it in their everyday work.
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Posted Aug 29, 2025
Designed a platform for open feedback, appreciation, and learning to improve employee performance.
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Clients
Emtropy Labs
