Need customer help center with analytics and article feedback

Here’s a practical plan for a customer help center with analytics and article feedback.

Core features

Help center

• Searchable knowledge base
• Category and topic navigation
• Featured / popular articles
• Related articles
• Mobile-friendly layout

Article feedback

• “Was this helpful?” thumbs up/down
• Optional comment box for negative feedback
• Issue tags like:
  • outdated
  • unclear
  • missing steps
  • incorrect
• User satisfaction rating after article views

Analytics

Track:

• Article views
• Search terms with no results
• Helpful vs unhelpful votes
• Feedback comments
• Top articles and worst-performing articles
• Drop-off points in article flows
• Contact deflection rate
• Time on page
• Search refinement behavior

Recommended pages

1. Help center homepage

   • search bar
   • categories
   • trending articles
   • contact support CTA

2. Category page

   • list articles by topic
   • filter by popularity / recent updates

3. Article page

   • content
   • related articles
   • feedback widget
   • “contact support” fallback

4. Admin analytics dashboard

   • charts for views, feedback, search terms
   • article health scores
   • content gaps and recommendations

Useful KPIs

• Article helpfulness rate
• Search success rate
• Support ticket deflection rate
• Top unresolved topics
• Average feedback score
• Bounce rate on help pages

Suggested tech stack

If you want a modern implementation:

• Frontend: Next.js or React
• Backend: Node.js / Python / Rails
• Database: PostgreSQL
• Search: Algolia, Elasticsearch, or OpenSearch
• Analytics: PostHog, Mixpanel, Amplitude, or custom event tracking
• Charts: Recharts, Chart.js, or ECharts

Data model basics

Articles

• id
• title
• slug
• content
• category_id
• status
• updated_at

Feedback

• id
• article_id
• user_id or anonymous_id
• vote_up/down
• comment
• issue_tag
• created_at

Analytics events

• id
• event_type
• article_id
• user_id or session_id
• metadata
• created_at

Event tracking examples

• article_viewed
• article_helpful_voted
• article_feedback_submitted
• help_center_search_performed
• help_center_search_no_results
• support_contact_clicked

Smart improvements

• Show “was this helpful?” only after a user scrolls near the end
• Prompt feedback only when a user votes “No”
• Use analytics to recommend article updates
• Detect articles with high views but low helpfulness
• Surface unanswered searches as new article ideas

If you want a minimal MVP

Build first:

• search
• article pages
• thumbs up/down
• basic analytics dashboard
• admin article editor

If you want, I can also provide:

1. a full feature specification,
2. a database schema,
3. a wireframe/layout, or
4. a sample implementation architecture.