Copods

Helping product builders understand the ‘Why’ behind Customer Feedback

We partnered with a customer feedback and analytics platform to enable product builders to deeply understand their customer feedback quickly and help them prioritise what was important to solve.
  • UX Audit
  • User Interviews
  • Task Flow Optimization
  • Navigational structure Redesign
  • Wireframing
  • Visual Design

The Engagement

START

1 Designer

SCALE

2 Designers

TRANSFORM

3 Designers

Key analytics capabilities

Added a chart builder which allows to visualize feedback by different metrics with comparisons and different visualizations.

2nd most used

feature on the product within 2 months

Revamped Search and Query Builder

The ability to search for feedback had severe usability issues and was the most complained about on the product. We redesigned it making it sleeker, scalable and more usable. The feature didn’t receive any major complaints post the revamp.

Making relationships of core components clear

Created a simplified representation of the core tenets of the product so that the parent child relationship is clearer across the product.

Extended support to various feedback types

Added customized support for Audio Recordings, forum threads, Support conversations, Manual file uploads etc. Each feedback type has a specific representation and actions.

Feedback Monitoring

Created completely customizable dashboards and subscription workflows which allows users to be on top of their areas of interest.

Prioritise important metrics

Made the feedback analytics easily understandable and priorotizable. Like accompanying it with it’s impact to the company’s ARR

Chatbot with trust and explainability

Allowing users to ask AI about their customer’s feedback. The generation of responses are inspectable and are user modifiable.

40% users

transitioned to AI driven workflows

Allowing users to ask AI with support for Text, chart or records as the response.

The aI bot has been percolated in many parts of the products so that feedback and feedback lists can be summarized and consumed faster

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