📺 Live Event
What are the best AI tools for analysing customer feedback?
Is there a big difference between using a LLM or a Specialist Tool? Watch as we analyse the same data using both tools and show you the outcomes in this AI showdown.
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Your customers are telling you exactly what they need from you.
Within thousands of pieces of customer feedback is the blueprint for improving your services. But finding those meaningful insights can feel like searching for a needle in a haystack?
When CX teams ask us “Can I use Copilot or ChatGPT to analyse my Voice of Customer feedback?” they’re really asking a deeper question "What's the best way to turn customer feedback into action?”
The one thing you need to be doing with your customer feedback data, is analysing it effectively so you can confidently prioritise actions to focus on.
The good thing is that there are so many tools to assist you with analysing your voice of customer feedback. Specifically AI tools.
So the real question is not ‘Where do I start?’ but ‘Which tool is the best at helping me analyse my VoC feedback?’
We'll be showing you the analysis results of Copilot, ChatGPT and Specialist Tools.
So you can see for yourself which AI tool is best for you.
Join Us!
How to do more with your customer feedback data using AI:
✅ Why use AI to analyse customer feedback?
✅ Analysis of data using Co-pilot
✅ Analysis of data using Wordnerds
✅ An analysis of the analysis - to dissect the real differences between LLMs and Specialist Tools
My name is Pete Daykin and I am CEO of Wordnerds, this ragtag bunch of linguists, data scientists, men, women, and dogs who are all set about to solve the issue of how we do more to make sense of customer and resident feedback.
I'm Sarah, and I am a Senior Account Manager at Wordnerds, my focus is on empowering insight professionals to action meaningful change, ensuring that the voice of the customer resonates throughout organisational strategies.
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