Do I need to measure prompts by intent, not just keyword volume?

Yes — if you want useful prompt analytics, you should measure intent, not just keyword volume.

Why keyword volume alone is weak:

• High volume can be noisy: the same keyword may appear in very different user goals.
• Intent drives action: what matters is what the user is trying to accomplish, not just the words used.
• Different prompts can mean the same thing: e.g. “reset password,” “can’t log in,” and “account locked” may all map to the same intent.
• Keyword counts miss quality: you can have many mentions but low business value if they don’t indicate a clear need.

What to measure instead:

• Intent frequency: how often a user goal appears.
• Intent clusters/topics: group semantically similar prompts.
• Conversion or resolution by intent: which intents lead to successful outcomes.
• Urgency / sentiment / friction: to prioritize issues.
• Novel intents: emerging needs that keywords might hide.

Best practice:

• Use keywords as a signal, but analyze them through an intent model or taxonomy.
• Build a mapping from prompt text → intent category.
• Track both:
  • volume = how often terms appear
  • intent = what users are actually asking for

If you want, I can help you design a simple intent taxonomy and metrics dashboard for prompts.