myvue studies how working teams actually run: where time goes, where knowledge gets stuck on one person, where documentation falls behind the work it describes. What we learn ships as working software. This page is the back-of-house: what we research, how we research it, and what comes out of it.
Why does so much of a business depend on one person remembering the right thing at the right time? Why do clean wikis go stale the moment they're written? Why do new hires spend two months learning "how it's really done" before they're useful? We research the failure modes of modern operations and build the systems that resolve them.
Tens of thousands of captured sessions across finance, ops, sales, and field service, structured into a behavioral map of how work flows and where it stalls.
Identify what breaks when that person is out for two weeks. The largest operational risk in most businesses is also the least visible.
Surface tacit operational knowledge into something the organization can hold, transfer, and act on, without forcing anyone to author a doc.
Knowledge graphs grounded in observed work. Retrieval that respects ownership. Answers drawn from how your company actually runs, not a generic benchmark.
myvue research studies where real businesses lose time, knowledge, and continuity. Captured sessions, operator interviews, and longitudinal studies of how work flows across the actual tools teams use day-to-day.
myvue product turns research findings into shipped systems: knowledge graphs grounded in observed work, retrieval that respects ownership, and answers that never invent a process that doesn't exist.
Three people do the same process with different step orders. One version is twice as fast, and just as accurate.
Prepared by myvue lens · drawn from get_process_variations and get_process_detail
When they leave or take leave, months of recovery start. It's the largest operational risk most companies carry, and the least measured.
The map of how work happens isn't where the work actually happens. It's in inboxes, chat, and the muscle memory of three people.
The cognitive cost is invisible until it's measured. Once it is, it's one of the largest sources of throughput loss inside most ops teams.
That gap has no owner, no budget line, and no measurement, but it's where most early-stage churn originates.
Capture real work happening in real tools, then structure it into a behavioral process graph. The map is grounded in observed action, not interviewed intent, which means it reflects how work actually flows, including the unwritten parts.
Classify workflows along a spectrum from documented to tribal. Identify which processes survive turnover and which ones live in one person's head. The maturity signal is the foundation of how myvue measures organizational health.
Detect single-owner workflows, stale documentation, and the gap between what's written and what's done. The riskiest knowledge in most businesses isn't missing; it's invisible. We make it visible before it becomes an incident.
Build answers that respect operating reality. Retrieval ranked by ownership, recency, and actual usage, not just embedding similarity. The model never invents a process that doesn't exist or assigns ownership to someone who isn't on the team.
Research into how leaders consume operational truth led to a single map of people, processes, applications, and knowledge. Health, dependence, and risk become legible at a glance, not buried in seven tabs.
Research into the "how it really works here" gap became a continuity surface: new hires arrive into a working playbook on day one. The institutional memory that used to live in three people now lives in a structure the organization owns.
Research into grounded retrieval became myvue lens: ownership-aware ranking, graph-grounded answers, and a model that won't invent a process or assign work to someone who isn't on the team. Hallucinations stop when retrieval is anchored in observed reality.
Open research questions we're actively studying: how leadership ownership shifts decision cadence, how teams handle shadow processes that emerge faster than they're documented, how AI should hand control back to humans on high-stakes operations.
Every surface in myvue traces back to a research finding. The path from field study to deployed system is short, deliberate, and measured at every stage.
Captured sessions, operator interviews, longitudinal observation of how work flows.
Failure modes isolated and modeled: single-owner risk, doc drift, tool-switch cost.
Retrieval, graph, and model behavior designed against the pattern, not against benchmarks.
Ship to live customer environments, measure outcome against the original finding.
Customer behavior becomes the next round of research data. The cycle compounds.
The findings on this page ship as working software. Point myvue at the work and see what the map looks like for your team. The record starts forming the same day.