The analytics view. Filter, trend, break down.
Inspect holds the structured numbers. Every conversation and page your studies collect is reduced to dimensions you can filter, chart, and compare over time.
Seven views, beginning with an overview and continuing through topics, competitors, sentiment, intent, your focus areas, and paid-media performance.
Filters on every view, across study, brand, date range, sentiment, intent, language, and the dimensions you add on the fly.
One study or several. Pick a scope and every chart and table respects it.
Everything the core extracts, chartable.
- Brand sentiment, including a live map of sentiment by US state.
- Topics as a cloud and a sortable table, each split positive, neutral, negative. Click a topic to filter everything else by it.
- Competitors scored the way buyers actually talk: prefer us, no preference, prefer them.
- Intent, classified across the full engagement taxonomy, from purchase and comparison through support, skepticism, and churn risk.
- Your focus areas, broken down by the values the core found.
Trends and splits that answer real questions.
Activity, sentiment, topic, and intent trends over time, with hourly resolution on short windows. Splits by device platform, OS, language, and source, so "how does sentiment differ for iPhone users in California" is a filter, not a data request.
Paid-media sources get their own view: engagement, completion, and exposure metrics for the campaigns feeding the study.
The chart shows the what.
When a chart raises a question it can't answer, the same evidence is one step away in two directions: open the verbatims behind any number in Evidence, or ask the why in plain language with Ask n+1.
Every figure opens into Evidence.
Every figure in Inspect opens into the language that produced it.
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