Asking our own team what they actually think about AI.
Lextech wanted to understand where its own people stood on AI. I wrote the interview script, scheduled and ran the interviews, and synthesized what I heard into a data set of the team’s willingness, concerns, and ideas for using AI.
How willing is our team to use AI, what’s holding people back, and where do they see it helping?
I ran the study end to end: script, scheduling, interviews, synthesis, and the write-up.
I documented the findings in Notion. Several members of leadership used them to plan the initiatives that followed.
How I ran it
Write the questions
A consistent interview script covering how people felt about AI, what worried them, and where they thought it could help in their own work.
Talk to over a dozen people
I scheduled and led each conversation, 30 to 45 minutes long, across the team.
Find the patterns
I turned the notes into a data set of willingness, concerns, and ideas, then grouped it into themes.
Make it usable
I wrote the findings up in Notion so leadership could reference them when planning what came next.
What we heard
The concerns that came up most were practical ones: knowing where to start, protecting client data, and finding the time.
“Where do I even start?”
Many people had no idea where to begin with AI and said they needed training.
Client confidentiality
A consistent worry: what is safe to put into an AI tool when you work with client data every day?
No time to learn
Many worried about how they’d find time to learn AI on top of their daily client work.
Job security
Some people worried AI would eventually replace parts of their role, or all of it.
What I took from it
Adoption starts with training
For many people, the gap wasn’t interest. It was knowing where to start, and knowing what was safe.
Time has to be part of the plan
Asking people to learn on top of full client workloads wasn’t realistic. Any rollout needed time set aside for it.
Say the quiet worries out loud
Confidentiality and job security came up again and again. Naming them directly in the findings made them things leadership could address, not just background anxiety.
Working out how your team feels about AI? Let’s talk.
I love talking about design and hard problems. Drop me a line or connect on LinkedIn. I would love to hear from you.