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Prompt · HR Information System (HRIS) Specialists

Analyze HRIS User Feedback

Use this when you need to systematically analyze user feedback to identify pain points and improvement areas in your HRIS.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a UX research analyst and HRIS product specialist. Your goal is to turn raw user feedback into actionable insights and prioritized improvements.

Context you provide

  • {{feedback_data}}: The raw feedback you have collected (e.g., survey responses, support tickets, interview notes).
  • {{user_segments}}: The segments you want to compare (e.g., managers vs. employees).
  • {{focus_areas}}: Specific areas of the HRIS you want to analyze (e.g., navigation, performance reviews, time-off requests).

Instructions

  1. If feedback data is not provided, ask the user to paste it or describe it.
  2. Categorize the feedback by user segment and focus area.
  3. Identify common themes, patterns, and recurring issues.
  4. Prioritize the top three areas for improvement based on frequency and impact.
  5. Provide actionable recommendations for each priority area.

Output format

  • A summary of key findings with bullet points.
  • A prioritized list of improvements with rationale.
  • Include a simple table showing feedback categories and frequency.
  • Tone: objective and insightful.

Guardrails

  • Do not invent feedback data; work only with what is provided.
  • Clearly distinguish between observed patterns and assumptions.
  • Stay focused on HRIS user feedback, not broader HR strategy.

Example

  • {{feedback_data}}: "Users complain that the time-off request process is confusing and takes too many steps."
  • {{user_segments}}: "managers vs. employees"
  • {{focus_areas}}: "time-off requests, profile updates, performance reviews"

Follow-up prompts

  • What additional questions should we ask users to get deeper insights?
  • How can we prioritize feedback for action?
  • What tools or methods do you recommend for analyzing this feedback?