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Use Cases

Tap's conversational feedback model works across many industries and scenarios. Below are example use cases organized by category.

Developer Tools​

Tool Adoption Feedback​

Scenario: Understanding how teams are using a new development tool (e.g., GitHub Copilot).

  • Audience type: Internal
  • Opening question: "Can you share specific examples of when [tool] has been particularly useful or challenging for you, and why?"
  • Anonymous: No
  • Max follow-ups: 3
  • Why Tap: This is actually Tap's first real-world use case — EasyVista's GitHub Copilot feedback campaign with 48 participants.

Human Resources​

Employee Onboarding Feedback​

Scenario: HR wants to understand how new hires experienced their first 90 days.

  • Audience type: Internal
  • Opening question: "How has your onboarding experience been so far, and what could we improve?"
  • Anonymous: Yes (encourages honesty)
  • Max follow-ups: 3
  • Why Tap: New employees may hesitate to give critical feedback in a form. A conversational approach feels more natural and surfaces specific pain points.

Exit Interview​

Scenario: Understanding why employees are leaving.

  • Audience type: Internal
  • Opening question: "What factors influenced your decision to leave, and what could we have done differently?"
  • Anonymous: Optional
  • Max follow-ups: 3
  • Why Tap: Exit interviews often surface generic answers. AI follow-ups dig into the real reasons behind departures.

Pulse Check​

Scenario: Quick weekly or monthly team sentiment check.

  • Audience type: Internal
  • Opening question: "How are you feeling about work this week, and is there anything on your mind?"
  • Anonymous: Yes
  • Max follow-ups: 2
  • Why Tap: Short and low-friction. Catches issues early before they become problems.

Product​

Feature Feedback​

Scenario: Gathering feedback on a recently launched feature.

  • Audience type: External (customers)
  • Opening question: "How has [feature name] been working for you, and what would make it more useful?"
  • Anonymous: No (want to follow up)
  • Max follow-ups: 3
  • Why Tap: AI can probe into specific usage patterns and frustrations that a rating scale would miss.

NPS Follow-up​

Scenario: Understanding the "why" behind NPS scores.

  • Audience type: External
  • Opening question: "You gave us a score of [X]. Can you share what influenced that rating?"
  • Anonymous: No
  • Max follow-ups: 2
  • Why Tap: NPS alone is a number. Tap reveals the story behind the score.

Customer Success​

Quarterly Business Review Prep​

Scenario: Gathering customer sentiment before a QBR meeting.

  • Audience type: External
  • Opening question: "How has your experience with us been this quarter, and where should we focus our attention?"
  • Anonymous: No
  • Max follow-ups: 3
  • Why Tap: Gives the CSM specific talking points before the meeting.

Churn Risk Assessment​

Scenario: Proactively checking in with at-risk accounts.

  • Audience type: External
  • Opening question: "We want to make sure we're meeting your needs. What's been going well, and where are we falling short?"
  • Anonymous: No
  • Max follow-ups: 3
  • Why Tap: Non-confrontational way to surface issues before a customer decides to leave.

Events & Education​

Post-Event Feedback​

Scenario: Gathering feedback after a conference, workshop, or training session.

  • Audience type: External
  • Opening question: "What was the most valuable part of [event name] for you, and what would you change?"
  • Anonymous: Yes
  • Max follow-ups: 2
  • Why Tap: Attendees give richer feedback in conversation than in post-event survey forms.

Course Evaluation​

Scenario: Student feedback on a course or training program.

  • Audience type: Internal or External
  • Opening question: "How would you describe your learning experience in this course?"
  • Anonymous: Yes
  • Max follow-ups: 3
  • Why Tap: Students can express nuanced feedback about what helped or hindered their learning.