Buyer’s guide · Updated
Best AutoQA and VoC tools for Gladly in 2026
Short answer
For Gladly teams that want AutoQA and Voice of Customer on the same customer conversations, Oversai is our pick. Gladly’s own QA features focus on performance insights and syncing data to a QA tool, and Rippit (formerly MaestroQA) is the long-standing QA integration. For VoC, SentiSum and Unwrap both analyze Gladly conversations.
Oversai makes AutoQA and VoC software, so our product is on this list. We include the built-in Gladly option and the third-party tools with documented Gladly integrations, and we say where another option is the better fit.
Gladly AutoQA and VoC tools at a glance
| Tool | Use | Type | Primary focus | Best for |
|---|---|---|---|---|
| Oversai | AutoQA | Our product | AutoQA + VoC + AI agent QA | Gladly teams that want quality and customer insight on one timeline |
| Gladly QA insights | AutoQA | Built in | Native QA insights and data sync | Correlating CSAT with quality data inside Gladly |
| Rippit (formerly MaestroQA) | AutoQA | Third-party | Conversation data platform with QA workflows | QA programs that want deep scorecard control on Gladly data |
| Oversai VoC | VoC | Our product | VoC from support conversations + AutoQA | Tying Gladly customer themes to quality and churn |
| SentiSum | VoC | Third-party | Support conversation tagging and VoC | Real-time routing and reporting on Gladly conversations |
| Unwrap | VoC | Third-party | Cross-source customer feedback analytics | Combining Gladly with reviews, surveys, and calls |
What Gladly gives you out of the box
Gladly organizes support around the customer rather than tickets, with one conversation timeline across email, voice, chat, and messaging. Its QA capabilities correlate CSAT with quality insights and sync data to a dedicated QA tool, so the scoring layer is a separate choice.
Best AutoQA tools for Gladly
AutoQA tools score customer conversations automatically against a quality scorecard, so QA covers far more than a manual sample.
1. Oversai
Our product · AutoQA + VoC + AI agent QABest for: Gladly teams that want quality and customer insight on one timeline
Scores Gladly conversations across email, voice, chat, and messaging against your scorecards, monitors Gladly AI agent conversations, and reads the same timeline for VoC. Reviewers score inside Gladly through a Chrome extension.
Consider: A separate tool from Gladly.
How Oversai works with Gladly2. Gladly QA insights
Built in · Native QA insights and data syncBest for: Correlating CSAT with quality data inside Gladly
Assesses interactions across channels, correlates CSAT with quality insights, and syncs data to your QA tool.
Consider: Designed to work with a dedicated QA tool for scoring and calibration.
3. Rippit (formerly MaestroQA)
Third-party · Conversation data platform with QA workflowsBest for: QA programs that want deep scorecard control on Gladly data
Pulls every Gladly conversation and its metadata through the Gladly REST API, then applies rules to choose which conversations to review and coach on.
Consider: Now positioned beyond QA after the 2026 rebrand.
Compare Rippit with Oversai
Best VoC tools for Gladly
Voice of Customer tools turn Gladly conversations into themes, sentiment, and root causes that product and operations teams can act on.
1. Oversai VoC
Our product · VoC from support conversations + AutoQABest for: Tying Gladly customer themes to quality and churn
Finds themes, sentiment, root causes, and churn signals across Gladly timelines, joined to QA scores.
Consider: Built around conversations; survey data can be added as a source.
How Oversai works with Gladly2. SentiSum
Third-party · Support conversation tagging and VoCBest for: Real-time routing and reporting on Gladly conversations
Analyzes Gladly conversations in real time, including voice, email, chat, and social, to prioritize, route, and report by sentiment, urgency, and contact reason.
Consider: No agent QA.
Compare SentiSum with Oversai3. Unwrap
Third-party · Cross-source customer feedback analyticsBest for: Combining Gladly with reviews, surveys, and calls
Connects natively to Gladly alongside survey, review, and social sources.
Consider: No agent QA.
How to choose for Gladly
Score the whole customer timeline
Gladly keeps one timeline per customer across channels. Choose a QA tool that evaluates the conversation in that context, including voice, instead of isolated messages.
Decide where scoring lives
Gladly’s QA features are built to sync with a QA tool, so pick the scoring layer deliberately and check how results flow back to team leads.
Include Gladly AI conversations
If an AI agent handles part of the volume, score its conversations and handoffs with the same rubric as your human agents.
Gladly AutoQA and VoC FAQ
What is the best AutoQA tool for Gladly?
Oversai is the best fit when you want AutoQA, VoC, and AI agent QA on Gladly conversations. Rippit (formerly MaestroQA) is the long-standing QA integration for Gladly.
What is the best VoC tool for Gladly?
Oversai VoC is the best fit if you want customer themes tied to QA scores. SentiSum and Unwrap both analyze Gladly conversations for feedback analytics.
Does Gladly have built-in QA?
Gladly offers QA insights that correlate CSAT with quality and sync data to a dedicated QA tool, which handles scoring and calibration.
Can I QA Gladly voice conversations?
Yes. Oversai scores Gladly voice conversations alongside email, chat, and messaging with the same scorecards.