Reviews & Reputation

ServiceHub can send review requests after job completion so review collection becomes part of normal delivery, not an ad hoc follow-up task.

• • Enable review collection in ServiceHub settings and tie it to completed-job workflows
• • Choose when requests are sent after a completed job so the experience is still fresh
• • Use your own review form questions, including rating and optional comments
• • Route high-satisfaction responses to public review links instead of treating every response the same

Moderation protects your public proof layer. ServiceHub lets the business decide what is ready for public display and what needs internal follow-up first.

• • Require manual approval before a review is visible
• • Hide spam or low-quality entries from your website widget
• • Track approved and rejected reviews in one queue
• • Keep an internal audit trail of moderation actions

Use the ServiceHub reviews script to render approved reviews on any page, keeping the public review surface tied to the same moderation queue you manage internally.

<div id="servicehub-reviews" data-api-key="YOUR_PUBLIC_KEY"></div>
<script src="https://www.leadduo.io/embed/reviews.js"></script>

Generate your public API key in ServiceHub settings. You can configure theme, layout, and limit options in the embed attributes, then place the widget on booking, quote, or trust-building pages.

Review requests and reminders can run automatically, which matters because review collection usually fails when it depends on manual follow-up.

• • Auto-send review requests after job completion without depending on office follow-through
• • Delay sending by a configurable number of hours to match your service type and customer expectation
• • Customize thank-you text and review request copy so the message fits your brand tone
• • Connect third-party review destinations such as Google, Yelp, and Facebook

ServiceHub analyzes review quality signals and recurring feedback trends so your team can move from isolated comments to operational patterns.

• • Score responses by sentiment, urgency, and customer effort signals
• • Detect repeating themes such as arrival delays, communication gaps, or billing confusion
• • Track trend direction week over week so you can spot quality decline early
• • Surface high-risk feedback for priority follow-up and service recovery

Use AI trend summaries to prioritize operational fixes instead of reacting to each review as an isolated complaint.

• • If time-related complaints increase, tighten dispatch windows and ETA messaging
• • If communication complaints rise, improve confirmation and "tech on the way" updates
• • If price/value concerns repeat, align quote explanations and invoice line-item clarity
• • Assign owners per issue type and review improvements in weekly ops reviews

• • Send requests soon after job completion while the experience is still specific in the customer's mind
• • Keep your form short to increase completion rate and reduce friction
• • Review the moderation queue frequently so strong feedback reaches your public surfaces quickly
• • Use approved reviews in booking, quote, and trust-sensitive pages where they can influence conversion