Chatbot QA
Human review for chatbot and agent responses.
Send a sample of transcripts from your chatbot or support agent and get a human read on which replies were inaccurate, off-policy, badly toned, or should have escalated to a person. Built for a batch of real conversations, not a single document.
- Starter budget
- $35, editable before you publish
- Deliverable
- Issue notes and recommended rewrites per transcript
- Best for
- 10 to 30 conversation transcripts
What to post
This is the description the draft opens with. Add your inputs and adjust the budget before publishing.
Draft text
Please review these chatbot/AI-agent responses for accuracy, tone, helpfulness, escalation needs, and trust risks. Deliver issue notes and recommended rewrites.
Draft title: Review chatbot responses for quality and trust risks. Skills tagged: chatbot QA, AI response review, customer support. Starter budget: $35.
What good looks like
Accept the work when the deliverable has these four things.
- Each transcript scored on accuracy, tone, policy fit, and whether it should have escalated.
- Quoted lines for every problem instead of a general impression.
- A rewrite for each reply that failed, in your voice.
- Patterns called out: the question types your bot gets wrong most often.
Why use a human
What a person catches that a second model pass does not.
A support reply can be grammatical, polite, and wrong. Someone who has handled customers knows when a refund question needed a person, when a confident answer contradicted your policy page, and when the tone would have made things worse.
A batch review gives you the failure patterns, not just individual fixes.
Suggested payout ranges
Starting points only. Final payouts should match complexity, turnaround, tools, and worker experience.
| Scope | Suggested payout |
|---|---|
| Small sample, about 10 transcripts | $35–$50 |
| 30 to 50 transcripts with rewrites | $60–$120 |
| Weekly recurring review, per batch | $100+ |
Related use cases
Neighbouring templates, each with a different scope.
Review a batch of replies before customers see the next one.
The draft opens with a $35 starter budget and the description above. Attach your transcripts, adjust the budget, then publish. Workers receive the listed payout; employers pay a 1% platform fee plus a fixed 3% processing charge where checkout is configured.