HR & Recruiting

Designing employee surveys

AI helps generate and structure employee survey ideas and question sets for common HR listening workflows.

Why the human is still essential here

HR still determines what to ask, how to ask it sensitively, and how to interpret results in the context of the organisation.

How people use this

Engagement question banks

AI generates draft survey questions across themes like manager support, recognition, growth, and wellbeing for employee listening programs.

ChatGPT / Claude

Pulse survey design

AI creates short pulse survey drafts with balanced question types and wording that HR can refine for specific teams or moments.

Qualtrics Assist / ChatGPT

Question wording refinement

AI rewrites survey questions to make them clearer, less leading, and more appropriate for different employee audiences.

Microsoft Copilot / Gemini

Related Prompts (2)

Community stories (1)

LinkedIn

Drafting emails with ChatGPT.

Drafting emails with ChatGPT.

Rephrasing messages.

Occasionally doing a deeper dive into an HR topic I wanted to understand better.


This is how I’ve been using Generative AI for the past couple of years.


Useful, yes.


But in hindsight, I realise I was barely scratching the surface.


Over the past few weeks, I’ve started experimenting with ChatGPT, Claude and Gemini in a very different way — using them to support some of the everyday work we do in HR.


I wouldn’t say I’ve figured it out yet.


But the early experiments have been interesting.


Like many HR professionals, I assumed that using AI in HR would eventually mean adopting some specialised platform built specifically for HR teams.


But while experimenting, I realised something simpler.


Many everyday HR tasks can already be supported by the general-purpose AI tools that most of us already have access to:


- Drafting policies

- Structuring learning content

- Thinking through onboarding journeys

- Designing employee surveys


The interesting part is that these tools don’t come with ready HR templates.


Which means you have to shape them around your organisation’s language, processes and culture.


And that’s where the learning really begins.


I’m still very much in the experimentation phase.


Some things work surprisingly well.

Some things don’t.


But the possibilities are interesting enough to keep exploring.


I have a feeling many of us in HR may already be using these tools in small ways without fully exploring what else they might help with.


Curious — how are others in HR using AI today?


AI in HR – Experiment Log (1/8)

KO
Kapil OberoiHead - HR & Administration
Mar 8, 2026