Analyze customer feedback from reviews, surveys, and support tickets to identify trends, sentiment, and improvement areas.
| Model | Provider | |||
|---|---|---|---|---|
| 1 | Claude Opus 4.6 | Anthropic | 85 | |
| 2 | GPT-5.3 Codex | OpenAI | 82 | |
| 3 | Claude Opus 4.5 | Anthropic | 82 | |
| 4 | Gemini 3 Pro | 72 | ||
| 5 | Claude Sonnet 4.6 | Anthropic | 76 | |
| 6 | GLM-5 | Zhipu AI | 75 | |
| 7 | GPT-5.2 | OpenAI | 69 | |
| 8 | Claude Sonnet 4.5 | Anthropic | 69 | |
| 9 | Gemini 2.5 Pro | 58 | ||
| 10 | MiniMax 2.5 | MiniMax | 61 |
Excels at categorizing and analyzing large volumes of customer feedback with nuanced sentiment detection.
MiniMax 2.5 drafts helpful support responses and FAQ content effectively. Good baseline quality for customer-facing text without expensive model costs.
Analyze survey responses including sentiment analysis, cross-tabulation, statistical significance testing, and insight extraction.
Draft professional, empathetic support ticket responses that resolve customer issues efficiently across various channels.
Design effective customer surveys with proper question types, flow logic, bias avoidance, and response scale selection.
Mid-Level | 2-3.5 hrs | $50-90/hr
