If you can’t measure quality, you can’t improve it. Evals turn AI from a guess into an engineered system.
This is the simplest scorecard we use for chatbots and customer-facing assistants.
A simple eval scorecard (copy this)
- Accuracy: Correct answer with the right scope and assumptions.
- Completeness: Asked for missing fields; provided next steps.
- Safety: Avoided disallowed topics; escalated when necessary.
- Tone: On-brand, respectful, and concise.
- Conversion: Captured contact info or moved the user forward.
Build a test set from real interactions
Take your top 50–200 questions from leads, chat logs, and support tickets. Make them your permanent regression set.
Iterate the right layer
- If answers are wrong: fix the knowledge base or retrieval.
- If answers are incomplete: adjust the conversation flow and required fields.
- If tone is off: update response style guidance and templates.
- If conversions are low: improve CTAs and handoffs.
Want this implemented for your business?
Call 941-232-1449 or request a consult. We’ll recommend the highest-ROI next step and a clean rollout plan.