Under development ⚒️
The feature described in this article is currently in closed beta. Contact your Customer Success Manager to join the waitlist and stay tuned for more information.
Introduction
Deep Dive AI gives you a safe, anonymous space to share more after your pulse survey. You might be invited to a short chat where the AI asks follow-up questions to better understand what's behind your team's results.
Your answers are combined with your teammates' and grouped into clear themes, so your manager can focus on what matters most. Everything is completely anonymous, and your individual responses are never shared.
How it works
- After your manager launches a Deep Dive, you’ll get an email and an in‑app notification inviting you to join.
- Click the link to open the text‑based chat. Before you begin, you’ll see a short explanation of how your anonymity is protected.
- The AI asks open‑ended questions about the topic. You answer in your own words and can share as much or as little as you want. Most conversations take 5–10 minutes.
- If a question does not feel relevant, simply skip it.
- When the conversation closes, all replies are merged into shared themes and insights. Your manager only sees the combined summary, never your individual responses.
How we protect your privacy
The AI prompt is designed to remove any personal or identifying details before the text is processed, and all replies remain completely anonymous. Meaning that:
- Your name is never shown to your manager or HR.
- A minimum of 5 employees must participate before any results are generated. If too few teammates respond, no Deep Dive results are shown at all.
- Conversation transcripts are deleted after the summary is created. They are not stored long-term.
- Your manager cannot see who participated or what any individual said. They only see the number of participants.
- All data stays within the EU and is encrypted at every stage.
What happens with your feedback
After the Deep Dive closes, your manager receives a summary with the main themes, insights, and recommended actions. The goal is to help your manager understand what the team is experiencing and take meaningful steps to improve things.
Here's an example of what it might look like: