Specific business question
Teho is used to answer defined business questions, not to conduct general monitoring.
A Teho Study helps organisations see where time and cost concentrate in the work Teho can safely evidence, and what should change first. This explainer covers the study boundary, approved signals, privacy thresholds, coverage limits, and control model used before any client rollout.
These are the public principles behind the Study privacy architecture.
Teho is used to answer defined business questions, not to conduct general monitoring.
Approved work signals are governed by the agreed Study boundary. Excluded activity is kept out of the evidence base, and deployment-specific controls define what is technically blocked before capture.
Richer evidence, including screenshot, semantic, or LLM-enabled paths, is optional and used only where needed to answer the question.
Only repeated, privacy-safe work patterns become evidence. Reporting is team or workflow-level and subject to minimum cohort thresholds.
Access, capture settings, retention, deletion, consent posture, and reporting audience are approved upfront.
A Teho Study surfaces repeated patterns in systems of work and supports better operational decisions. It is scoped to one defined team or workflow over an agreed period, rather than used as an open-ended monitoring layer.
The output helps leadership prioritise what to stop, redesign, automate, AI-enable, or keep human-led. It is not line-by-line oversight of individuals.
A lightweight device agent is deployed to agreed participant devices. It captures approved work-pattern signals, sends them to the agreed processing path, and produces leadership reporting only from patterns that pass privacy, coverage, and confidence checks.
The agent captures only the signal categories enabled for the agreed deployment.
Teho classifies work-pattern signals, applies privacy controls, and suppresses low-confidence or too-small slices.
Graduated patterns become a team-level Work Profile Map, opportunity portfolio, and role-redesign recommendation.
The product is not intended to operate as a covert or general-purpose monitoring tool. Its design aim is bounded workflow insight.
Each deployment has a control model covering scope, capture settings, reporting posture, consent/indicator settings, Privacy Guard exclusions, optional evidence paths, and retention. The client can inspect these before device deployment begins.
Reporting is designed to remain aggregated at team or workflow level. Minimum cohort thresholds suppress slices that are too small, and low-confidence or unclassified activity is not forced into findings.
No portal surface is designed to produce a per-person score, leaderboard, or supervisor-facing activity feed.
The Activity Analysis baseline runs on UK-hosted managed cloud infrastructure. Optional evidence or model-processing paths are named per deployment before contract signature.
Governance decisions are made upfront: in-scope team or workflow, participant group size, OS scope, screenshot mode, semantic policy, consent posture, blocked applications, blocked keywords, reporting audience, and retention settings.