📊 Analysisintermediate5 variables

Analyze User Feedback

Extract insights from user feedback data.

feedbackuser-researchproduct

Template

Analyze this user feedback: {{feedback_data}} Source: {{source}} Time period: {{time_period}} Product/Feature: {{product}} Please provide: 1. Sentiment analysis (positive/neutral/negative breakdown) 2. Main themes and categories 3. Most common complaints/issues 4. Most praised aspects 5. Feature requests identified 6. Urgency assessment 7. Recommended action items (prioritized) 8. Suggested follow-up questions Format the analysis for: {{audience}}

Variables to Fill In

1
{{feedback_data}}

Feedback to analyze

Example: [List of user feedback comments or summary]

2
{{source}}

Feedback source

Example: App store reviews

3
{{time_period}}

Time period

Example: Last 30 days

4
{{product}}

Product/feature

Example: Mobile app v2.0

5
{{audience}}

Report audience

Example: Product team

Example Usage

Variables Used:

feedback_data = 50 NPS survey responses with comments
source = Post-purchase NPS survey
time_period = Q4 2024
product = Checkout experience
audience = UX team

Result:

Analyze 50 NPS survey responses about checkout experience for UX team with theme identification.

Tips for Best Results

  • 1Be specific with your variables - the more detail you provide, the better the AI response.
  • 2Start with the example values if you're unsure, then customize based on your needs.
  • 3Iterate on the results - if the first response isn't perfect, refine your variables and try again.
  • 4Combine multiple templates for complex tasks that require different perspectives.