Managing Reviews

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• Do review platforms allow us to respond to anonymous employee reviews? Does it help?

  Yes - most employer-review platforms, Glassdoor included, let you respond publicly to anonymous reviews, and a measured reply is worth posting even though it will not remove the review. The value is for the next reader: a candidate sees not just the complaint but how leadership engaged with it.

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• How do negative employee reviews affect customer perception?

  Employee reviews bleed into customer perception through three routes: Glassdoor and Indeed often rank on the first page for the company name, striking accounts get amplified on social and forums, and AI engines fold employer signals into consumer-facing answers about the company.

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• How do you handle competitor-driven negative reviews?

  Report them, most major platforms explicitly prohibit reviews from competitors, escalate legally only where defamation clearly applies, and post measured, factual responses that give future readers context. Treat it as a process, not a feud.

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• A competitor is clearly gaming Capterra reviews to outrank us. Is there anything I can do?

  Yes. Report the suspicious pattern to Capterra, which investigates review gaming such as sudden bursts and repeated language; run your own structured authentic-review program; and diversify your evidence across G2 and case studies so no single gamed profile is the whole story. Platforms catch gaming and it collapses, while an authentic position holds up.

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• Our App Store rating dropped from 4.5 to 2.9 after a PR incident. Can ORM help?

  Yes, but the sequence is non-negotiable: fix the product issue that caused the drop first, then drive recovery with three moves, accelerate authentic reviews from your now-fixed user base, invite affected users to update their reviews (which the platforms permit), and keep shipping visible improvements. Recovery follows real remediation, not before it.

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