Reading the dashboards¶
What every stat card and chart on the three dashboards means, and how to read them together. Open them from Dashboard in the sidebar. All charts filter by year, province, district, LLG, and ward.
Applicant dashboard¶
The intake picture — everyone who has applied, all-time.
Stat cards
| Card | Counts |
|---|---|
| Number of Applicants | Everyone who has applied |
| Applicants with Active Pregnancy | Applicants with a pregnancy on record |
| Applicants with Eligible Children | Applicants with at least one age-eligible child |
| Number of Children | All children across applicants |
Charts
- Monthly New Applicants — a line for the selected year; spot seasonal spikes.
- Applicant Status — a donut of In Progress / Submitted / Approved / etc.; a large Submitted slice means work is waiting on Registration Officers.
- Applicant Demography — a bar chart by location.
- Child Age Distribution — ages in months, so you can see who's near the eligibility cut-off.
Application Pipeline dashboard¶
The workflow's health — is intake turning into enrolment fast enough?
KPI strip
| KPI | Read it as |
|---|---|
| Open applications | In progress + submitted + in edit — the current backlog |
| Avg time to approval | Submitted → Approved, for the year |
| Avg time to first payment | Approval → first instruction, for the year |
| Approved count | Approvals this year |
| Rejection rate | Archived ÷ decided, for the year |
| Awaiting first payment | Approved but not yet paid |
Per-stage cards show, for each status (Draft, Submitted, Request for Edit, Approved, Rejected, Awaiting First Payment): the count, the average wait, and the oldest item still waiting.
Stage ageing bars break each stage into 0–7, 8–14, 15–30, and 30+ day buckets.
Where is the pipeline stuck?
A tall 30+ day bar on Submitted points at a review bottleneck; a tall one on Awaiting First Payment points at a payments bottleneck. Use it to decide where to push this week.
Beneficiary dashboard¶
The active caseload — who's enrolled and who's leaving.
Stat cards
| Card | Counts |
|---|---|
| Active Beneficiaries | Currently enrolled |
| With Active Pregnancy | Active beneficiaries with a pregnancy |
| With Eligible Children | Active beneficiaries with an eligible child |
| Active Children | Children on active cases |
| Exiting Next Month | Ageing out + pregnancies graduating |
| New Payees Expected | Approved, not yet paid |
Charts include Active Demography, Status (active/inactive), Child Age Distribution, Updates Approved by category, Graduation Forecast (children vs pregnancies graduating each month), and New Payees per payment cycle.
Graduation forecast looks ahead
The forecast projects who will graduate in coming months from current ages and pregnancy dates — use it to plan caseload and budget, not as a payment figure.
Reading them together¶
flowchart LR
A["Applicant:<br/>lots submitted"] --> P["Pipeline:<br/>approval time rising"]
P --> B["Beneficiary:<br/>new payees expected up"]
style A fill:#eef0f7,stroke:#3d4479
style B fill:#f1f5f2,stroke:#657e6b
A healthy program shows intake (Applicant) converting through a fast pipeline (Application Pipeline) into a growing, well-forecast caseload (Beneficiary). When one dashboard's numbers move, check the next one along for the knock-on effect.
Related¶
- Program Manager overview
- Approve a registration — what feeds Submitted → Approved