AI tool adoption and beyond
Tap was built for engineering teams measuring AI adoption. But the platform works anywhere you need to go deeper than surveys.
AI Tool Adoption for Engineering Teams
You've invested in AI coding tools. Telemetry shows usage numbers, but not the story behind them. Tap fills the gap between “how many” and “why” — giving you the insights to maximize your AI investment.
An enterprise IT management company ran Tap conversations with 48 engineers and discovered that context switching — not tool quality — was the primary barrier to AI chat adoption. This insight, invisible in telemetry, led to a workflow redesign that improved adoption by 3x.
After the insight: when the workflow redesign was confirmed by Tap conversation data, it went from recommendation to implemented in 3 weeks. That's what closing the loop looks like. See the Action Layer →
AI Tool Rollout Assessment
Understand how engineers are actually using their AI coding tools — Cursor, Claude Code, Copilot, and more — what features land, and why some teams abandon tools after the first week.
Multi-Tool Assessment
Compare adoption across Cursor, Claude Code, Copilot, VS Code, CODEX, and more. Get data-backed recommendations on which to standardize.
Adoption Stall Diagnosis
When usage plateaus, Tap conversations reveal the specific barriers — workflow friction, trust issues, or lack of training — that telemetry can't explain.
Works for more than engineering
Any team that needs to go deeper than surveys can use Tap's AI conversation platform.
HR & People Ops
Replace annual engagement surveys with ongoing AI conversations. Understand employee sentiment, onboarding experience, and culture in real-time.
- New hire onboarding feedback
- Exit interviews that reveal the real reasons
- Weekly pulse checks
Product Management
Go deeper than NPS scores. Understand what users really think about your product through AI conversations that adapt to their experience.
- Feature adoption feedback
- NPS follow-up that reveals the story behind the score
- Churn risk detection
Customer Success
Scale customer conversations without scaling headcount. AI conducts check-ins, gathers feedback, and flags at-risk accounts automatically.
- Quarterly business review prep
- Churn risk assessment before customers decide to leave
- Renewal sentiment check-ins
Events & Education
Gather richer feedback than post-event forms. Attendees share nuanced insights about what worked and what to improve through natural conversation.
- Post-event feedback
- Course evaluation
- Workshop follow-up