Menu → Text Analysis
Who can access ?
Roles | Access |
👑 Admins | Full access |
🛠️ Editors | Full access |
👀 Viewers | Read only |
🔒 Restricted Viewers | Read only |
Make sure the feature is enabled for member of your organization :
How to get actionable Insights from the Text Analysis ?
Create relevant topics: group comments and responses into clear themes (e.g. pricing, parking, , delivery).
Choose your analysis segment: decide which customers, period, product, or source you want to focus on.
Identify your insights : find recurring problems, frustrations, or positives aspects of you activity.
🚀 Generate actions: turn insights into concrete next steps to improve products, processes, or customer experience.
How to create relevant topics ?
A topic is a way to group answers/text based/verbatims based on a common meaning to filter out your Feedbacks in Feedier. There are two ways of creating topics :
Let the AI suggest you new topics
2. Create your own topics
💡 Remember that topics are just a way to filter text verbatims in Feedier.
If you want to filter other types of data : Feedback item, Source, Time period or Attribute you can learn more here about filtering in Feedier.
Be sure to provide clear instructions that will be send to the AI to identify the topics.
Examples :
I want to filter on all verbatims mentioning a positive experience in the purchasing experience.
| 🏷️ Topic name | 📝 Topic instructions | 🔎 Filter on Feedier |
Good practice | Purchasing Experience | Tag all feedbacks related to purchasing experience on our shops including | Sentiment = positive |
Poor practice | Positive purchasing experience | Tag all feedbacks mentioning a positive purchasing experience, exclude negative comments. |
|
I want to filter on all verbatims mentioning delays on the delivery on our iconic shampoo HyperBrillance.
| 🏷️ Topic name | 📝 Topic instructions | 🔎 Filter on Feedier |
Good practice | Delivery | Tag all feedbacks related to the delivery and the shipping of our product. | Attribute Product = HyperBrillance
Insight = Delivery Delays
|
Poor practice | Delivery delays | Tag all feedbacks mentioning delays on the delivery or the shipping of the shampoo HyperBrillance |
|
💡 Note that the tagging process primarily relies on the clarity of the instructions. You are therefore free to choose the wording of the topic name, provided that the associated instructions are clear and precise enough to accurately identify and tag the relevant verbatim feedback.
What are segment of analysis ?
Segments allows you to group topics to get an overview of a specific par of your activity.
💡 Deep dive into Feedier scores here, including Sentiment scores and NPS.
What are insights ?
Feedier computes raw verbatims from feedbacks and turns them into actionable understanding. Either positive or negative aspects they are direct highlights coming from your customer voice.
Let's say we are running a concert place 🎤🎸🎶 and we want to found out if the pricing of the bar is correct in all our venues :
It turns out that our venue in Stockholm raised most comments about too expensive prices.
💡 Identify the pain points by focusing on negative insights. This is where you can improve to reduce your clients frustration.
How to generate actions to tackle the pain points ?
Actions will help better understand how to tackle negative insights that are lowering your customer satisfaction score.
Let's see how we can improve the quality of the food in our concert venue 🎶
It turns out that expanding the variety of the food could help us improve 26 points on our NPS score.
💡 Click here to find out more about each Action Plan Score in Feedier.