✨ NEW

Dashboard Analytics

To view statistics, patterns, anomalies, etc., at a glance for the audios associated with a Configuration.

Analytics Dashboard

Access to Analytics Dashboard at: https://sandbox.heify.com/sandbox/analytics

Analytics Dashboard

The Analytics Dashboard provides powerful, AI-driven insights from your transcription data. Analyze trends, discover patterns, identify anomalies, and gain a deep understanding of your audio data at scale.

Analytics are generated for transcriptions processed under a specific configuration.

Analysis Sections

The dashboard is organized into thematic sections, each providing different insights:

Synthesis

AI-generated executive summaries

General Distribution

Core metrics and distributions

Quality & Confidence

Data completeness and anomalies

Extraction Fields

Field-by-field analysis

Temporal Analysis

Trends over time

Relationships

Correlations and co-occurrences

Synthesis

AI-powered summaries to understand your data at a glance.

Executive Summary: Highlight key findings, temporal trends, and opportunities or risks for decision-making.
Qualitative Summary: Identify recurring themes, issues, and keywords in the audios based on the qualitative analysis of textual fields.

General Distribution

Fundamental metrics about your audio files.

Duration
Speakers
Languages

Audio Duration Distribution

Displays:

Min: Shortest audio file length
Average: Mean duration across all files
Max: Longest audio file length
Bar chart: Distribution histogram showing frequency of different duration ranges

Insights:

Identify typical conversation length
Spot unusually long/short calls
Understand variance in your data

Quality & Confidence

Assess the completeness and reliability of your extracted data.

Completeness
Audios to Review
Anomalies

Data Completeness

For each extraction_field, a progress bar shows the percentage of transcriptions where a valid (non-null) value was successfully extracted.Use this to:

Identify which fields are reliably extracted
Find fields that need description improvements
Understand data gaps in your conversations

Extraction Fields Analysis

Detailed, field-by-field breakdown of your extracted data. Each extraction field gets its own card with visualizations tailored to its data type.

String & Array Fields
Number Fields
Boolean Fields

Text and List Fields

For string and array type fields (e.g., “Category”, “Mentioned Products”).Value Frequency ChartA bar chart showing the most common values and their counts.Insights:

Identify most common categories/topics
Prioritize product features to develop
Understand customer pain points
Track trends in conversation topics

Numerical Fields

For number type fields (e.g., “Rating”, “Price”, “Age”).Distribution HistogramA bar chart showing the frequency of values in different ranges.Insights:

Understand value distribution (normal, skewed, bimodal)
Identify common ranges
Spot outliers visually
Track central tendency

Use cases:

Pricing analysis
Quality score tracking
Customer age demographics
Transaction value patterns

True/False Fields

For boolean type fields (e.g., “Issue Resolved”, “Recommended”).DisplaysDonut Chart showing the proportion of True vs. False values.Insights:

Track success rates
Monitor KPIs (resolution rate, satisfaction, etc.)
Identify improvement opportunities

Use cases:

Support ticket resolution rates
Customer satisfaction (yes/no)
Product recommendation likelihood
Compliance (terms accepted yes/no)

Temporal Analysis

Understand how your data evolves over time.

Trend Chart
Activity Heatmap

Time-Based Trends

A multi-axis chart plotting the evolution of metrics over time.Displays:

Line charts: Numerical field averages over time
Bar chart: Volume of transcriptions per time period
Multiple Y-axes: Different scales for different numerical extraction fields metrics

Customization:

Select which fields to display
Choose time granularity (daily, weekly, monthly)
Filter date range

Insights:

Track improvement over time
Correlate volume with quality
Identify seasonal patterns
Measure impact of changes (new features, policy updates)

Use cases:

Monitor customer satisfaction trends
Track support quality improvements
Seasonal demand analysis
A/B testing results validation

Relationships & Patterns

Discover hidden connections between data points.

Correlations
Co-occurrence

Numerical Field Correlations

A heatmap matrix visualizing the correlation between all numerical extraction fields.Heatmap colors:

Strong positive (blue): Values move together (0.7 to 1.0)
Weak/no correlation (white): No relationship (-0.3 to 0.3)
Strong negative (red): Values move oppositely (-1.0 to -0.7)

Interpretation:

Price ↔ Duration: 0.68 = Strong positive correlation
- Longer conversations → Higher prices
Rating ↔ Duration: -0.05 = No correlation
- Conversation length doesn’t affect rating

Use cases:

Identify factors that impact key metrics
Understand causation vs. correlation
Validate hypotheses

Array Field Co-occurrence

For array type fields (e.g., “Pros”, “Cons”, “Features Mentioned”), this shows how frequently two items appear together.Heatmap matrix:Shows the number or percentage of transcriptions where both items were mentioned.Use cases:

Product bundling: Package frequently co-occurring features
Marketing: Create messaging around common pairs
Sales training: Educate reps on related features
Development: Prioritize integrated feature development

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Documentation

Explore the Sandbox guide