Why Not Yet
Every "not yet" sorted into a belief to answer or a barrier to remove.
The job
Shows why each district and language community is not yet coming for a vaccine or screening. Splits beliefs, like safety fears, from barriers, like clinic hours, sends barriers to whoever can remove them and beliefs to clinician-approved answers, then proves bookings rose.
The moment
In week two of a flu vaccination campaign, each district on the map is a vaccine vial that fills as people get vaccinated. One industrial district is stuck at 18%.
The comms team has a myth-busting message ready in the community's language. But 71% of reasons for not coming yet are barriers, such as "the clinic closes at four, my shift ends at six".
The director tries adding an evening mobile clinic. Based on three past fixes of that kind, the projection rises to 31%. The director approves it, and a message goes to the 640 people who asked.
The next week uptake reaches 36%. Bookings double compared with a similar district that got nothing, and mentions of the clinic closing before shifts end fall from 44% to 9%.
What it does
- Route a costed barrier fix to its owner
- Project a fix onto a vial
- Send a clinician-signed belief answer to the KB owner
- Tell the people who raised a barrier, one to one
- Pre-register a district verdict with a matched comparison
- Voice-agent sample of people reporting "no slot"
What you see
A map in which each district is a vaccine vial filling with uptake, labelled belief or barrier, with drag-a-fix projections and a drill into each language community.
What it moves
How much of each district's uptake gap closes compared with a similar district, and the share of reasons for not coming that are barriers still not removed after two weeks.
Built for
- Operations
- Contact-centre operations
- Marketing, brand & comms
