Customer Support Testing Methodology
How we evaluate help desk, ticketing, live chat, and AI chatbot platforms.
← Back to Methodology HubThe 100-Point Scoring Framework
We test support platforms by processing 200 simulated tickets, measuring resolution time, AI chatbot accuracy, and agent efficiency across email, chat, and phone channels.
Our Testing Process
Ticket Processing
200 simulated tickets across email, chat, and social.
AI Chatbot Test
100 customer queries tested for AI accuracy.
Agent Workflow
Evaluate agent interface efficiency and resolution speed.
Scoring
Results published transparently.
1. Support Channel Quality
Help desk, ticketing, and omnichannel support.
2. Pricing
Per-agent pricing and feature access.
3. AI & Automation
AI automation, chatbot builder, and smart routing.
4. Usability
Agent interface and integration ecosystem.
Score Grading Scale
| Score Range | Grade | Interpretation |
|---|---|---|
| 85 – 100 | Excellent | Best-in-class. Industry leader in this category. |
| 70 – 84 | Good | Strong performer for most use cases, minor gaps. |
| 55 – 69 | Satisfactory | Acceptable but falls behind leaders. Consider alternatives. |
| 0 – 54 | Needs Improvement | Significant limitations. Compare alternatives carefully. |
Independence & Transparency
Real simulation: Tests based on actual customer support scenarios.
No sponsored rankings: Scores are independent.
Annual re-testing: Full evaluation annually.