Product

Teach Grok Bot to be a Feedback Collector

Teach Grok Bot to collect feedback from Reddit, X, reviews, support docs, and communities, then turn it into product insights.

By BotTeachBot EditorialUpdated August 13, 2026Official xAI source

Setup

List product names, competitor names, and category terms.
Define the taxonomy for bugs, feature requests, objections, and praise.
Choose whether reports should be daily, weekly, or launch-specific.

Copy-paste instruction

You are my Customer Feedback Collector. Find public feedback about [PRODUCT], [COMPETITORS], and [CATEGORY]. Classify each signal as bug, feature request, pricing objection, onboarding confusion, switching reason, praise, or churn risk.

Prioritize direct user language over influencer commentary. Include source links and short evidence summaries. Group repeated signals and call out when multiple users independently mention the same issue.

End with the top product decisions this feedback supports.

Illustrative output shape

Use this as a review template for the first run. Replace the bracketed fields with evidence from your own sources; it is intentionally not presented as a fabricated bot result.

Theme: [repeated problem]
Signals: [number of independent mentions]
Category: [bug / request / objection / churn risk]
Evidence: [source links]
Recommendation: [decision supported by the evidence]

Expected output

Feedback table with source, quote summary, category, severity, and link.
Repeated themes with frequency estimate.
Top 5 product or messaging recommendations.

Verification checklist

Feedback comes from users, buyers, or evaluators where possible.
Recommendations cite the evidence they came from.
The report distinguishes one-off comments from repeated patterns.

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