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Upon arriving on the dashboard, you have an immediate reading of the overall state of your data over the selected period:
Below the global indicators, you find all your categories. For each one you can view:
This is the level where you quickly identify which major themes are concentrating dissatisfaction and which are performing well.
Clicking on a category takes you into the detail of its subcategories. The view shows the same indicators — score, trend, volume, distribution — but applied to each more precise topic. You also have an AI-written summary that synthesizes what your customers are expressing about that subcategory, the main tensions identified, and the attention points to prioritize.
Customer verbatims are accessible directly at this level to concretely illustrate what the AI has detected.
Going even further into a subcategory, you access findings — the most granular observations extracted from your data. Each finding has its own satisfaction score, its activity period, its mention volume, and a detailed AI summary that precisely explains what customers are expressing on that topic.
This is where you find the most actionable insights: a precise formulation of a problem, a recurring pattern in verbatims, a weak signal worth attention.
At every level of the dashboard, you can switch between your custom views to segment the analysis according to the angle that interests you. Combined with the sentiment and period filters permanently available, views allow you to answer very specific questions — for example comparing delivery delay satisfaction between two regions, or isolating only highly dissatisfied feedback on a specific category.
The Insight Explorer dashboard is where all the value of your taxonomy becomes visible. The AI has categorized each piece of feedback, extracted relevant mentions, and calculated satisfaction scores at every level of your hierarchy. You can filter the entire dashboard by period, sentiment, and via your custom views created during configuration.
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