The Listening Index
2026.
An empirical benchmarking programme derived from live institutional deployments: analyzing 1.2 million anonymous submissions across 11 sectors to evaluate operational response latency, anomaly prevalence, and multilingual resolution disparities.
1.2M
Anonymous submissions analysed
Across eleven sectors and four continents, collected through authenticated production deployments.
11
Enterprise sectors covered
Healthcare, hospitality, higher education, municipal government, legal, financial services, utilities, telecom, retail, housing, and non-profits.
40+
Languages in the corpus
Original submission text preserved verbatim alongside normalized semantic embeddings and verified translations.
1 in 8
Coordinated or automated submissions
Flagged and isolated by multi-signal integrity screening before ingestion into reporting datasets.
The portal was open in forty languages.
The room was open in one.
Holding category classification and urgency scores constant, the primary predictor of whether an anonymous submission triggered a logged operational remediation was the language of origin. While automated translation occurs immediately at ingestion, downstream executive review exhibits significant attention disparities.
Technical reports and empirical working papers
Corpus construction and data governance
Production deployments only
Every submission in the index originated from an active enterprise Yves tenant during ordinary institutional operations.
Aggregated and anonymized
The research corpus contains category distributions, resolution timestamps, and triage velocity metrics. Verbatim message text and tenant identity keys are strictly excluded.
Integrity screened prior to ingestion
Coordinated bot bursts, duplicated submissions, and automated ballot stuffing are quarantined prior to metric calculation. Quarantine rates are published transparently.
Wilson confidence intervals
Every reported metric includes its sample size and 95% Wilson score confidence interval; low-volume cells are explicitly flagged for statistical sparsity.
Academic researchers and institutional partners.
We provide verifiable methodology papers, anonymized benchmark aggregates, and technical briefing sessions with our data governance and research leads.