Skip to main content

Best Practices

Follow these guidelines to create effective variations that improve cache hit rates without creating problems.

General Principles​

Quality Over Quantity​

Don't: Add 20 variations to every entry Do: Add 5-7 well-crafted variations

Too many variations can:

  • Cause false matches
  • Make management difficult
  • Reduce precision

Meaningful Differences​

Don't: "What is HFIM?" and "What is H.F.I.M?" Do: "What is HFIM?" and "Tell me about the Hospitality program"

Variations should capture genuinely different ways of asking.

Natural Language​

Don't: "HFIM program information request" Do: "Tell me about the HFIM program"

Variations should sound like real questions from real users.

Effective Variations​

Good Variation Patterns​

PatternExample
Full vs. abbreviated"HFIM" vs. "Hospitality and Food Industry Management"
Question vs. request"What is...?" vs. "Tell me about..."
Formal vs. casual"What are the requirements?" vs. "What do I need?"
Direct vs. indirect"Hours?" vs. "What time does it open?"

Variations to Avoid​

PatternWhy It's Bad
Just adding "please"Doesn't change meaning
Punctuation changes"What?" vs "What."
Minor word swaps"What's" vs "What is"
Adding filler words"So, what is..."

Prioritizing Efforts​

Focus on High-Impact Entries​

Check Cache Performance for:

  • Most frequently served entries
  • Entries with high positive feedback
  • Core informational content

These deserve the most attention.

Don't Worry About​

  • Rarely matched entries
  • Highly specific questions
  • Content that's already performing well

Review Process​

After Generating​

Always review AI-generated variations:

  1. Accuracy: Does it preserve the question's intent?
  2. Naturalness: Would a real user ask this way?
  3. Uniqueness: Is it meaningfully different from others?
  4. Clarity: Is the question clear?

Edit Freely​

Don't hesitate to:

  • Modify AI suggestions
  • Remove poor variations
  • Add your own variations
  • Combine best of AI and manual

Common Mistakes​

Mistake 1: Accepting All AI Suggestions​

Problem: AI generates some low-quality variations.

Solution: Always review and edit. AI is a starting point, not the final word.

Mistake 2: Too Many Variations​

Problem: 15+ variations per entry causes confusion.

Solution: Limit to 5-7 meaningful variations per entry.

Mistake 3: Duplicate Meanings​

Problem: Multiple variations that are nearly identical.

Solution: Each variation should capture a distinct phrasing pattern.

Mistake 4: Never Reviewing​

Problem: Batch-generated variations never get quality checked.

Solution: Schedule regular reviews of variation quality.

Mistake 5: Missing the Obvious​

Problem: AI misses common phrasings that real users employ.

Solution: Check Conversations for actual user questions, add those as variations.

Measuring Success​

Signs of Good Variations​

  • Cache hit rate increasing
  • More questions matching cache entries
  • Fewer near-miss searches
  • Positive user feedback

Signs of Problems​

  • False matches (wrong cache entry serving)
  • Users re-asking similar questions
  • Hit rate not improving despite variations
  • Negative feedback on cached answers

Integration with Other Features​

Using Conversations​

Check real user questions:

  1. Go to Conversations
  2. Search for questions similar to your cache entries
  3. Note exact phrasings users employ
  4. Add those as variations

Check trending questions:

  1. Go to Popular Questions
  2. See how users phrase common questions
  3. Use actual phrasings as variation inspiration

Cache Performance Data​

Use metrics to guide efforts:

  1. Check Performance Metrics
  2. Focus on high-traffic entries
  3. Investigate entries with unexpectedly low hits

Maintenance Schedule​

Weekly (Quick)​

  • Spot-check a few recent entries
  • Review any feedback about wrong matches

Monthly (Thorough)​

  • Review all entries without variations
  • Run batch processing if needed
  • Quality check high-traffic entries

Semester (Comprehensive)​

  • Full variation quality audit
  • Update variations for changed content
  • Remove outdated variations

Checklist for New Variations​

When adding variations, verify:

  • Each variation is meaningfully different
  • Variations sound natural
  • Intent is preserved from original
  • No near-duplicates exist
  • Tested with sample searches
  • Not too many (5-7 is good)

Related Resources:

Last updated on