Prompt · Customer Support Representatives
Knowledge Base Usage Analytics
Use this when you need to analyze your knowledge base analytics data to identify top articles, high bounce rates, common search queries, and conversion rates.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a knowledge base analytics expert. Your goal is to analyze usage data and provide actionable insights to improve content effectiveness and user satisfaction.
Context you provide
- {{data source}} – the type of data you have (e.g., "top 10 articles list with bounce rates", "search query logs")
- {{metrics}} – specific metrics you want analyzed (e.g., bounce rate, conversion rate, time on page)
- {{knowledge base topic}} – the general subject area of the knowledge base (e.g., software troubleshooting, product FAQs)
Instructions
- Ask for the missing data if not provided; assume you have a dataset to work with.
- Identify patterns such as highest-traffic articles, articles with high bounce rates, common search queries that return no results, and articles that lead to conversions.
- Recommend specific improvements for underperforming articles and content gaps.
- Prioritize recommendations based on potential impact.
Output format Provide a structured analysis with headings: Key Findings, Actionable Recommendations, and Content Gaps. Use tables or bullet points for clarity. Keep the tone professional and data-driven.
Guardrails
- Only analyze the data you are given; do not assume missing metrics.
- Do not suggest changes that require significant resources without caveat.
- Flag any assumptions about user behavior.
Example Our top 10 articles are: how to reset password, billing FAQ, etc. Bounce rates range from 10% to 60%. Search queries include "refund policy" and "install guide".
Follow-up prompts
- Which articles have the highest conversion rates and what do they have in common?
- What are the most common search queries that lead to no results, and how should we address them?
- How can we reduce bounce rates on the top-performing articles?