AI Customer Feedback Analysis
Hear the pattern behind the individual complaint.
Bring customer feedback into a consistent view of themes, concerns and opportunities for improvement.
The opportunity
The problem we help you solve
Customer feedback rarely arrives in one tidy dataset. A review, survey response and support conversation may describe the same problem in different words. Reading them separately makes the wider pattern easy to miss.
Voxd helps bring approved feedback sources into a consistent analytical view. We organise themes, concerns and sentiment, with a route back to the original material. Your team can investigate what is recurring, distinguish a widespread issue from an isolated example and use the evidence to guide improvement.
What changes for your team
See recurring issues more clearly
Bring related comments together so the frequency and character of a concern are easier to examine.
Reduce manual tagging
Use a repeatable first pass to organise larger collections while retaining review of ambiguous or important findings.
Give recommendations supporting evidence
Link findings to examples that product, service and leadership teams can check and discuss.
What we deliver
What Voxd can deliver
Source and question definition
Agree the feedback channels, permissions and business questions the analysis should support.
Theme and sentiment analysis
Develop categories and evaluate how well the approach handles language, context and mixed opinions.
Reviewable reporting
Present themes and source-linked examples with the limits of the available sample made clear.
Why Voxd
Knowledge connected to the job people need to do.
For iGlobal, Voxd connected email, call transcripts and CRM history to support proposals shaped around individual buyers. In the Waitrose festival supplier portal, the assistant combines maintained guidance with live supplier tasks and relevant operational records.
We understand that information only becomes valuable when it supports a useful action. Our work brings together data connections, retrieval, analysis and interface design so the result fits the way your team works.
How we work
Build on information people can trust
- 01
Choose the questions
We identify who needs answers, the decisions those answers support and the information currently used to make them.
- 02
Review the sources
We assess access, freshness, ownership and gaps. We agree which sources should be trusted and how updates will reach the system.
- 03
Test useful answers
We evaluate realistic questions and analysis tasks, checking source support, permission boundaries and how uncertainty is communicated.
- 04
Put insight into the workflow
We deliver the experience where it will be used and establish feedback and content ownership so it remains useful.
Before you get started
Before you get started
Can this include reviews and support tickets?
Yes, where the information can be accessed and used appropriately. We agree which sources are representative and how they should be compared.
Will sentiment scores tell us exactly how customers feel?
They are an analytical aid, not a complete account of a person’s experience. Context, sample bias and ambiguous language need review alongside the scores.
Find out what your customers keep trying to tell you.
Show us where feedback arrives and the decisions you want it to inform.