Decision-grade analytics.
Traceable to every source message.
Every chart in the Yves console connects directly to underlying verified submissions with active filters preserved. Leaders can directly inspect the verbatim reports, timestamps, and context driving every metric.
25
Analytical views
Spanning volume demand, sentiment, operations, population reach, and data trust.
95%
Confidence intervals
Wilson score intervals and sample counts displayed on all proportional metrics.
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Sample size transparency
Explicit sample counts on every metric tile to prevent misinterpreting thin data.
Global
Timeframe scoping
Filter across 7, 14, 30, 90 days, historical ranges, or custom calendar bounds.
Empirical precision built for executive and regulatory scrutiny.
Every aggregate metric in the console displays its sample size and a standard Wilson 95% confidence interval alongside the headline figure.
Originally engineered to meet statutory compliance requirements, statistical bounds prevent over-indexing on statistically insignificant shifts. By making sample uncertainty visible, leadership teams can focus discussions on verified operational patterns.
The visualization palette adheres to WCAG 2.1 AA contrast standards and color-blindness accessibility checks. Sentiment metrics utilize calibrated diverging palettes, ensuring clear, accessible interpretation across leadership and audit reviews.
Atlas GIS · District Hotspots & Sovereign Territorial Tracking
Scrub through historical temporal timelines to isolate facility clusters, regional sentiment drops, and service delays in real time.
Northgate General
Lab callback handoff breakdown
5×5 Enterprise Risk Matrix & Impact Scoring
Interactive multi-dimensional risk matrix mapping probability against operational severity, backed by Wilson 95% confidence intervals.
← Likelihood (Probability) →
Callback system failure
20Northgate sentiment collapse
20Night shift staffing shortage
9Data breach attempt
10Pharmacy billing disputes
8Monitor submission volume and identify accelerating issues
Track incoming volume against rolling baseline averages, detect statistical anomalies, and identify categories with rapid week-over-week acceleration before they escalate.
- Anomaly thresholds calculated automatically against historical institutional baselines
- Trajectory matrix separates high-volume steady issues from low-volume rapidly accelerating emerging risks
- One-click drill-through links every chart point to its underlying filtered submissions
Track case turnaround, aging, and resolution coverage
Comprehensive operational visibility covering queue burn-down rates, case aging, resolution time distributions (median and 90th percentile), and critical response coverage.
- Resolution metrics track median and 90th percentile turnaround times rather than easily skewed averages
- Unresolved urgent items highlighted with real-time counters and direct escalation paths
- Time-of-day distribution heatmaps identify recurring peak friction windows across facility shifts
Evaluate population coverage and geographic distribution
Analyze language distribution, respondent demographics, submission timing, and regional variation measured against normalized location baselines.
- Regional activity evaluated against localized historical baselines to account for facility size
- Distinguish between broadening audience engagement and repeat submissions from existing respondents
- Multilingual distribution tracking ensures resolution actions are distributed equitably across all language communities
Automated statistical narratives for every panel.
Every dashboard panel provides an automated analytical summary explaining calculation methodology, statistical confidence, identified anomalies, and operational considerations, grounded solely in that chart's underlying data.
Advanced analytical perspectives for executive review
Purpose-built visualization surfaces designed to reveal subtle systemic patterns, semantic shifts, and operational blind spots.
High-urgency, low-volume quadrant
Volume plotted against urgency scores to surface critical, low-frequency reports that standard volume thresholds overlook.
Semantic vector projection
Two-dimensional projection of topic vector embeddings, color-coded by sentiment and scaled by urgency, enabling visual discovery of adjacent concerns.
Topic evolution tracking
Monitors shifts in the semantic composition of categories over time, detecting when underlying operational issues change within a single label.
Post-resolution monitoring
Identifies categories marked as resolved where negative reports continue to arrive, flagging potential operational recurrence.
Multi-touch sentiment arcs
Aggregates multi-submission sentiment trajectories over time using cryptographic device hashes, preserving complete respondent anonymity.
System calibration scoreboard
Tracks calibration curves and Brier scores for automated predictions against verified operational outcomes.
“Reporting sample sizes and statistical intervals alongside headline figures eliminated debate over data validity and allowed leadership to focus on operational remediation.”
Head of Quality Assurance, Regulatory Standards Body
Asked often enough to answer here
Evaluate decision-grade feedback analytics
with your operational data.
Deploy a 7-day evaluation tenant with interactive drill-down, statistical confidence intervals, and automated reporting.