The healthcare workforce crisis is solvable.
The worldview underneath our work, and the evidence that makes it possible.
The strain crisis is solvable.
The American healthcare workforce is in trouble. The numbers are familiar by now. Voluntary turnover among registered nurses sits above 17%. The average hospital loses over five million dollars a year to RN churn. Care professionals are leaving the profession early, frequently, and in patterns that cluster in the units that are hardest to staff. Most of the people who remain are carrying more than the system was designed to ask of them.
The dominant interpretation of this crisis is that it represents a generational shift in how people relate to work, or a mental health emergency among care professionals, or an inevitable consequence of healthcare's chronic underinvestment in the people delivering care. All three of these contain truth. None of them is sufficient. Each frames the crisis as something that happened to healthcare, rather than something healthcare is doing to itself.
We believe the workforce crisis is solvable. Not solvable in the sense that it will be easy or fast — it will be neither. Solvable in the sense that the levers that would make it better are knowable, the research underneath those levers is established, and the gap between what is known and what is being deployed is enormous.
Knowwn was built to close that gap.
Why most workforce tools haven't worked.
The healthcare workforce technology market is large and growing. Engagement survey vendors. Recognition platforms. Wellness apps. Wellbeing benefits administrators. HRIS modules with workforce analytics layers. Burnout assessment tools. Despite billions of dollars deployed across these categories, voluntary turnover keeps climbing, manager retention keeps deteriorating, and the people doing the work continue to report that they feel unseen by the systems managing them.
This is not because the existing tools were built carelessly. It is because they were built around three assumptions that the underlying research does not support.
The first assumption is that workforce wellbeing can be measured at the population level. Most engagement and wellbeing platforms aggregate responses across hundreds or thousands of people and report the average. The number is intelligible to executives and meaningful to no one. A workforce of hundreds of specific people, each carrying a specific kind of strain, gets reduced to a single score. The score moves slightly each year. Nobody knows what to do about it. The aggregation that was supposed to make the data legible is precisely what makes it operationally useless.
The second assumption is that recognition and wellbeing are interchangeable across people. Most recognition platforms allow leaders to send the same kinds of acknowledgment to anyone on the team. Most wellbeing programs offer the same resources to a workforce of widely different needs. The underlying assumption is that people are essentially uniform, and that what helps one person will help most others. The research we draw from says the opposite. People are specific, in research-grounded ways, and the mismatch between generic interventions and specific needs is the dominant reason most workforce programs fail to produce measurable change.
The third assumption is that workforce data is a reporting function. Most platforms produce reports that document what already happened. Quarterly engagement scores. Annual exit interviews. Year-over-year turnover comparisons. The data arrives after the people who would have been served by it have already gone. By the time the report shows the problem, the operational window to address it has closed.
These three assumptions, deployed together across the workforce platform category, produce a market full of tools that look comprehensive on a vendor demo and quietly underperform in production. Hospital executives know this. They have lived through enough vendor cycles to recognize the pattern. The skepticism is earned.
We share that skepticism. The reason Knowwn exists is to argue that a different set of assumptions, supported by established research, can produce a different kind of platform.
What we believe is missing.
The layer most workforce platforms assume but do not deliver is specificity. Specific people, specifically named. Specific kinds of strain, separately measurable. Specific patterns of restoration, recognized as different across different kinds of care professionals. Specific support, calibrated to the specific person who needs it, delivered by the specific manager who is positioned to provide it.
This is not a small refinement of the existing category. It is a different category.
The existing category measures the workforce. The category we believe in measures the people in it. The existing category produces aggregate scores that summarize a workforce by losing what makes each person specific. The category we believe in preserves the specificity, structures it as data, and makes that data useful at the level where the work of leading happens, which is the unit, the team, the conversation between a manager and the person they are responsible for supporting.
The work of building this category is not glamorous. It requires translating decades of established research into tools that fit inside existing healthcare workflows. It requires designing assessments that care professionals will actually take, with results that respect what they shared. It requires giving leaders information that is operational rather than academic, and giving them the structure to act on what they see. It requires being clear about what the platform is and what it is not.
We are doing that work. The rest of this page explains how, and what evidence we have grounded the work in.
The research underneath.
Knowwn is grounded in four bodies of established research, each of which has been studied in healthcare workforce contexts for decades. We did not invent these traditions. We translated them.
Self-Determination Theory.
Developed by Edward Deci and Richard Ryan beginning in the 1970s and elaborated across hundreds of studies since, Self-Determination Theory argues that human motivation is supported by three psychological needs: autonomy, competence, and relatedness. When these needs are met, people sustain effort, find meaning in their work, and remain engaged across long careers. When these needs are blocked, even highly motivated people deplete, withdraw, and eventually leave. The research has specific implications for healthcare: care professionals whose work environments support autonomy, competence, and relatedness retain at significantly higher rates than those whose environments do not, regardless of pay, hours, or workload. Knowwn measures the conditions of these needs across the people on a team and surfaces where they are being met and where they are being blocked.
Conservation of Resources Theory.
Developed by Stevan Hobfoll, Conservation of Resources Theory argues that people experience stress when they perceive their resources to be threatened, depleted, or insufficient to meet what is being asked of them. Resources include not just time and energy but relationships, sense of meaning, autonomy, and recognition. The theory predicts that stress accumulates non-linearly: people can sustain significant resource depletion for a period, then collapse when a single additional loss tips the balance. The research explains why care professionals can appear fine for months and then suddenly leave, and why the strain that precedes those departures is often invisible until the resource floor is crossed. Knowwn's strain layer is built directly on this theory. It surfaces resource depletion across five named dimensions before the floor is crossed, in time to act on what the data shows.
Job Demands-Resources Theory.
Developed by Arnold Bakker and Evangelia Demerouti, Job Demands-Resources Theory argues that every job consists of demands that consume resources and resources that replenish them. Burnout occurs when demands chronically exceed resources. Engagement occurs when resources sufficiently buffer demands and create space for meaningful work. The theory has specific implications for nursing: high-demand environments (acute care, ICU, ED) are sustainable when sufficient resources (autonomy, recognition, manager support, peer relationships) are present, and unsustainable when those resources are absent, regardless of the demands themselves. Knowwn surfaces the demands-resources balance across teams and identifies where resources have fallen out of alignment with the work being asked.
Person-Environment Fit research.
Drawing on decades of organizational psychology research, Person-Environment Fit research argues that people thrive in environments matched to who they specifically are, and struggle in environments mismatched to their specific needs. The research has direct implications for retention: care professionals whose environments fit who they are stay; those whose environments do not, leave. Generic interventions produce generic results because they treat all people as if their fit needs were the same. The research argues for specificity, calibration, and respect for individual difference. Knowwn's profile system, the four named profiles that emerge from the assessment, operationalizes this research at the level where staffing, recognition, and leadership decisions are made.
These four traditions are not separate. They reinforce each other. Self-Determination Theory names the conditions people need to sustain effort. Conservation of Resources Theory names the patterns of depletion when those conditions are absent. Job Demands-Resources Theory names the operational mechanism through which demands and resources interact. Person-Environment Fit research names why generic interventions fail and what specificity actually requires.
A workforce platform grounded in all four operates at a different resolution than one grounded in none. The methodology is not decorative. It is the source of every distinctive thing Knowwn does.
How this becomes a product.
The research argues for specificity, early signal, demand-resource awareness, and fit-calibrated support. Knowwn translates these arguments into three product surfaces.
The profiles.
The assessment that anchors the platform. Care professionals take a seven-minute assessment that produces a profile (Beacon, Wayfinder, Luminary, or Meridian) describing what fuels them, what depletes them, what restoration looks like for them, and what kinds of recognition land. The profile is theirs, portable across roles and employers. The four-profile system operationalizes Person-Environment Fit research.
The strain layer.
Surfaces what each team and individual is currently carrying across five named factors: administrative load, moral burden, social fatigue, role friction, and recovery debt. The layer operationalizes Conservation of Resources Theory and Job Demands-Resources Theory, giving leaders early signal of resource depletion before it becomes turnover.
Personalized recognition.
Delivers profile-aware recognition that fits who each person specifically is. Recognition matched to a Beacon lands differently than recognition matched to a Luminary. The product surface operationalizes Self-Determination Theory's relatedness dimension and Person-Environment Fit research's specificity argument.
These three surfaces are not separate products in a portfolio. They are three layers of one platform, each grounded in the same research, each calibrated to a different operational moment in the work of leading care teams.
What Knowwn is not.
A platform's scope is as important as its capability. The clearest signal of a serious platform is honesty about what it is not.
Knowwn is not your HRIS.
We do not store employment records, manage payroll, handle scheduling, or perform any function that core HR systems perform. Knowwn integrates with the HRIS layer; it does not replace it.
Knowwn is not a wellness platform.
We do not provide meditation content, fitness benefits, EAP services, or mental health resources. We measure the conditions that make wellness possible at the workforce level, but the delivery of wellness services lives elsewhere.
Knowwn is not a clinical outcomes tool.
We measure workforce-level data only. Knowwn's data correlates with patient outcomes through the well-established research linking workforce stability to care quality, but Knowwn does not measure clinical metrics directly.
Knowwn does not have to replace your annual engagement survey.
Engagement surveys collect aggregated annual data designed to produce a score. Knowwn measures specific people, specific factors, and specific changes over time. The two serve different purposes. Most institutions running both find that Knowwn replaces the operational use of engagement surveys, but engagement surveys often remain in place for board-level reporting purposes. We are comfortable with that arrangement.
Defining scope this clearly is a credibility move. It tells serious buyers that the platform was built with specific intentions and that those intentions have not been violated by the marketing. It also tells them what to expect when they evaluate Knowwn against their existing infrastructure: not a wholesale replacement, but a missing layer that fits inside what they already have.
Every healthcare worker deserves to feel knowwn.
Now that you know what we believe, see what it produces.
Explore the products, read the research, or talk to someone about what Knowwn could mean for your organization.