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Zonka Feedback

Verified

AI feedback intelligence turning unstructured responses into role-based insight within minutes

NPS Software
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  • Deployment Cloud Based
  • Starting price Quoted on request
  • Free trial Available
  • Best for Small Business, Medium Business, Large Enterprise

What is Zonka Feedback?

Zonka Feedback is a customer feedback platform built around AI Feedback Intelligence, transforming unstructured data into role-based intelligence, with separate analytics for customer feedback, support feedback, product feedback and location or frontline analytics, plus thematic analysis, entity and aspect tracking and sentiment analysis.

Role-based intelligence is the framing that distinguishes it, and it addresses a genuine problem with feedback dashboards.

A single dashboard showing all feedback is useful to nobody in particular. A support manager needs to know which issues drive contact volume. A product manager needs to know which features frustrate users. A regional operations manager needs to know which branch is underperforming. Presenting all three the same aggregate view means each has to extract their own answer, which mostly means none of them do.

Splitting analytics by function rather than only by metric follows the same reasoning. Support feedback analysis aims at elevating service quality and reducing contact volume, product feedback aims at what to build, and location analytics compares branches and teams.

Location and frontline analytics deserves particular mention because it is the case that most general platforms handle worst. A business with fifty branches does not have one customer experience, it has fifty, and the average across them conceals both the branch that is failing and the one worth learning from. Comparison between locations is the entire point, and it requires the data to be structured that way from collection onward rather than filtered afterward.

Thematic analysis with entity and aspect tracking is the technically substantive part. Extracting what a comment is about and how the writer feels about that specific thing is considerably more useful than scoring a whole response as positive or negative, because a comment praising the staff and criticising the wait time is not neutral, it is two distinct findings.

Pricing is not published on the captured page, though a pricing page is offered.

Key Features of Zonka Feedback

  • AI Feedback Intelligence
  • Role-based insight delivery
  • Customer feedback analytics
  • Support feedback analytics
  • Product feedback analytics
  • Location and frontline analytics
  • Branch and team comparison
  • Thematic analysis
  • Entity and aspect tracking
  • Sentiment analysis at aspect level
  • Unified view across feedback silos
  • Real-time processing

Zonka Feedback Pricing

Quoted

Quoted on request

Request pricing

A pricing page is published without a captured figure. Normally priced on response volume and the number of users or locations.

Zonka Feedback Specifications

Deployment
  • Cloud Based
Desktop
  • Web App
Mobile
  • Android
  • iOS
Built for
  • Small Business
  • Medium Business
  • Large Enterprise
Support
  • Email
  • Phone
Public API
Yes
Free trial
Yes
Free plan
No
Runs in browser
No
Customisable
No
Website
zonkafeedback.com

Zonka Feedback Screenshots

Zonka Feedback screenshot 1

Zonka Feedback Reviews

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Zonka Feedback FAQs

No figure was captured, though the vendor publishes a pricing page. Feedback platforms are normally priced on response volume and the number of users or locations.

Insight shaped for the person receiving it. A support manager needs contact volume drivers, a product manager needs feature frustrations, an operations manager needs branch comparison. One shared dashboard serves none of them well.

Because a business with fifty branches does not have one customer experience, it has fifty. The average conceals both the branch that is failing and the one worth learning from.

Comparison between locations only works if the data is collected that way rather than filtered afterward. Retrofitting location structure onto feedback gathered without it rarely produces reliable comparison.

Accuracy. A comment praising the staff and criticising the wait time is not neutral, it is two distinct findings. Scoring the whole response as one sentiment loses both.