Generate an AI-powered analytics report for a configuration — distribution metrics, anomalies, extraction field insights, temporal trends, and cross-variable relationships.
The Configuration Analysis page aggregates all transcriptions processed under a selected configuration and organizes the results into seven collapsible dashboard sections: AI synthesis, distribution metrics, data quality, anomaly detection, extraction field analysis, temporal trends, and cross-variable relationships.
Each analysis generation consumes one unit of your account’s analytics quota. Viewing previously cached results for the same configuration ID is free.
Select a configuration from the searchable dropdown and click Generate Analysis. The dashboard will populate once the report is ready.
Navigating directly to a URL that includes a configuration ID (e.g. from a bookmark or shared link) loads the last cached result immediately — no quota is consumed.
All sections are collapsible cards. The Synthesis section is expanded by default; all others start collapsed. A section is only rendered when the API returns data for it — sections with no data are hidden automatically.A sticky sub-menu in the dashboard header tracks which section is in view and lets you jump between sections without scrolling.
Measures the completeness and reliability of the extracted data.Completeness — a horizontal progress bar for each extraction field defined in the configuration, showing what percentage of audios had that field successfully populated (validCount / totalCount valid).Audios to Review — a paginated table of audios with an unusually high number of missing extraction fields:
Column
Detail
Missing Fields
Count of missing fields, e.g. “3 of 5 missing”
ID
Transcription ID with a copy button
Group
Group badge + Change Group button — update the group directly from this table
Detects audios with values that deviate significantly from the normal pattern using the IQR (Interquartile Range) method.Three categories are analyzed:
Category
What is analyzed
Daily Volume
Days with an abnormally high or low number of submitted audios
Metadata
Metadata fields (e.g. duration) with outlier values
Extracted Data
Extracted fields with values outside the expected range
Each category shows the expected normal range and a paginated table of outliers. Each outlier row has a High or Low badge, the transcription ID, its group (with a Change Group button), and a link to the detail view.
Anomalies are not always errors — they may represent legitimate edge cases worth reviewing. Use the Change Group button to tag them for follow-up without leaving the analysis.
A dedicated card for each extraction field defined in the configuration. The card header shows the field name, completeness percentage, and valid count.The card body varies by field type:
Field type
Visualizations shown
Number
Average · Median · Sum · Min · Max · Distribution histogram
String
Total unique values · Frequency chart of top N most common values
Boolean
Positive rate (large display) · True/False proportional bar
Two sub-sections separated by a divider.Temporal Evolution — a multi-line time-series chart:
Volume line — daily count of submitted audios
Metric lines — one line per extracted numeric field (daily average)
Lines are interpolated and remain continuous even on days with no data
Use the metric checkboxes to show or hide individual lines
Reset zoom button restores the default chart view after zooming in
Below the chart, a summary table shows for each metric: Max · Min · Average · Trend direction (improving / degrading / stable).Activity Heatmap — a day-of-week × hour-of-day grid:
X-axis: hours of the day (0–23)
Y-axis: days of the week (Monday–Sunday)
Color intensity: light = low activity, dark = high activity
Auto-generated insights below the heatmap:
Insight
Content
Peak Time
The specific day and hour with the highest audio count
Busiest Day
The weekday with the most audios across all hours
Most Frequent Hour Range
The hour-of-day with the most accumulated audios
The Timezone selector in the dashboard header affects both Temporal Evolution and Activity Heatmap. Changing the timezone does not reload data from the API.
Two advanced analyses separated by a divider.Correlations — a matrix comparing all numerical extraction fields:
Each cell shows a correlation coefficient (−1 to +1)
Blue = positive correlation · Red = negative correlation · Grey = weak or no correlation
Tooltip shows the number of data pairs used per cell
Requires at least 2 numerical fields with data
Auto-generated insights: Strongest Positive Correlation · Strongest Negative Correlation · Weakest Association.Co-occurrence — one matrix per array or categorical field, showing how often two values appear together in the same audio:
4 color intensity levels: Very Low → Low → Medium → High
Tooltip shows total appearances and co-occurrence count
Auto-generated insights: Most Frequent Pair · Most Common Item.
