Connect your data. Phedone enriches them and helps you determine the Next-Best-Action.
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For CX Teams
Better understand your customer comments for a more qualified response and better anticipation.
For Supports Teams
Automate tagging and routing to help your support teams perform and improve your satisfaction rate.
For Product Teams
Take each feedbacks into account and prioritize according to the synergies between your customer requests.
Easily integrate Phedone's analyses into your system thanks to our APIs and native integrations.
Work at 3 inter-related levels
Use the Phedone edge technology to get the best-of-market understanding of your customers
Phedone analyzes every single feedback and each contributor, and dynamically tags them. It understands each one of them individually. Reduce your resolution time to improve customer satisfaction!
At Phedone we not only apply our analyses at different scales, but we also look at the synergies and similarities between every feedbacks and every customers. It gives you a unique perspective. In quasi-real-time, at first glance, you can now visualize similarities between people, departments, market segment, product line.
Treasures are hidden in your feedbacks. Exploring at a macro level leads to global trends identification and low-level signals detection. Generate unfair advantages, stay ahead of your competitor!
No need to develop or plan a change management period. It's plug-and-play within your existing system.
The utility of the open question
To create a product that people will love, you must put the customers themselves at the center of all decision-making. Ask for their opinion: measure the customers' satisfaction is essential.
Natural Language Processing
What is the Natural Language Processing ?
Everything you need to know about Natural Language Processing, also known as "Automatic Language Processing".
Interview of Mehdi Elmoukhliss, PHD in Collective Intelligence
The pandemic is a tidal wave, a wave of profound change. What about collective intelligence at this time? Remarks by Mehdi Elmoukhliss, Doctor in Collective Intelligence