About Happiness
The Risk dimension measures data compliance across each application in your portfolio. It contributes 15% to the overall HEART Score.
Why use it
Many applications require users to enter specific values, make selections from defined options, or complete required fields in a particular way. When users do not meet those requirements, the consequences go beyond the individual record: they create data quality problems, compliance exposure, and rework that compounds over time.
A low Risk score is an early warning. It means field requirements are being missed at scale, and the downstream effects (incorrect records, failed audits, data inconsistencies) are already building.
A high Risk score means users are meeting data entry requirements consistently. For organizations in healthcare, financial services, manufacturing, or pharma, that is not just an operational improvement: it is a defensible record of process adherence.
How is it calculated?
The Risk score is based on data compliance: the percentage of monitored interactions where users correctly completed the required field values or selections defined by a Validator.
Risk requires Validators to be configured for the application. If no Validators are set up, the dimension shows INPUT NEEDED.
Data readiness
| Status | Meaning |
|---|---|
Input needed | No Validators configured for this application |
| Calibrating | Validators configured but insufficient interaction data |
| Ready | Sufficient data collected |
Best practices
- Start with your highest-risk workflows: those where incorrect field completion has the most significant downstream consequences. Validators on those workflows give you the most immediate signal.
- When the Risk score drops, investigate which specific Validators are driving the change. A sudden drop often points to a workflow change, a UI update, or a new user cohort that has not been adequately trained on the field requirements.
- Use Risk alongside Task Success. Low task completion and low compliance together indicate a workflow where users are struggling at every level, and where targeted intervention is most likely to have an impact.
