Wellness audience targeting, private by design.
Aim a challenge by team, place, age, language, or health risk. Health targeting returns a headcount with no names attached.
- DepartmentEngineering, OperationsSet
- Age range30 to 45Set
- Health-risk codeElevated risk cohortSet
and will be enrolled
The list of users is not displayed, to protect individual privacy.
Illustrative sample data.
Vantage Fit aims a challenge by country, city, team, gender, age range, language or health risk group. Aim by health risk and the dashboard returns a headcount only. A targeted challenge is private from the start.
7 ways to define the audience.
Combine any of these to reach the exact group you want, from one office to the whole company.
- Country
- City
- Department
- Gender
- Age range
- Language
- Health-risk code
Where they are
Target by country, city and team. A local challenge reaches that group and nobody else.
Who they are
Gender, age range, and the language they read in.
Health risk, safely
Reach a risk group such as heart, diabetes or thyroid. You get a count, never a name.
You see the size of the group.
You can support employees with a health need without learning who they are. The dashboard returns a headcount and nothing more.
No group smaller than 10
A health-risk challenge needs at least 10 matching employees. If your filters would target fewer than 10, Vantage Fit blocks the challenge, so no cohort is ever small enough to single anyone out.
The dashboard returns a headcount
It shows how many employees match, which is enough to plan a program around.
Only the right people see it
A targeted challenge shows up on the home screen of the people it is for, and nobody else.
Grouped by broad risk area
Employees are grouped by broad health area, taken from the annual health check. Individual test results are never used.
Aggregate workforce views live in workforce health insights.
Enrolled directly, or matched automatically.
People are in without hunting for a challenge or filling in a form.
Add them yourself
Search for one person and add them, or upload a whole group by CSV.
Let a rule do it
Set the rule. Everyone who matches is signed up.
Join late, score fairly
Anyone added part way through earns from the day they join. No back-dated points, and no penalty.
Told, and free to leave
Everyone added gets an email letting them know they are in the challenge. HR can tailor that message, and any employee can opt out at any time. Taking part is voluntary.
8 broad risk groups you can target.
Health targeting works on a broad group, taken from the health check. It never uses one person's test number.
Every result is an aggregate cohort count. The people behind it remain hidden.
- HeartA heart risk group, counted only.
- DiabetesA blood sugar risk group, never a reading.
- ThyroidA thyroid risk group.
- LiverA liver risk group.
- KidneyA kidney risk group.
- Blood healthA blood health risk group, such as anemia.
- Vitamin D and B12A group low on a vitamin.
- InflammationAn inflammation risk group.
Every rule you add narrows the audience.
Rules stack. Each one narrows the group, and health targeting still returns only a count.
One rule
Set the city to Austin and 1,200 people match. Add them and move on.
Stack a second rule
Add Spanish and the 1,200 drops to 480. Still a count, still no names.
Add a health group
Add heart risk on top and all you get back is a count. No name is shown, and none is exported.
How to aim a challenge without exposing health.
4 steps to reach the right people and keep them private.
Set the rules
Start a challenge in the admin console and say who it is for.
Pick who fits
Filter by country, city, team, gender, age range, or language to get a list you can work with.
Add a health group
Put a health risk filter on top, and the list turns into a count that hides every name.
Launch it quietly
Publish the challenge. It stays private, and only the people it is for can see it.
Targeting, and its limits
You set this in the admin dashboard, while you build or run a challenge.
Reach the right people, counted in the same number.
Reach the right people, and keep them private.
See how a rule is built, how the count keeps names hidden, and how sign-up runs, in a 30-minute walkthrough.