Closed lippytak closed 9 years ago
First step, get all new conf #s into tracking, and then ping the counties to update
Contra Costa :hocho: :panda_face:
Solano already up to date
Placer conf #s migrated
Marin conf #s migrated
Added
Added:
Solano outcomes processed, a fair number of denials... (2 interview, 3 verification)
Pinged Solano contacts
@lippytak — what's our process for cases whose statuses may change? (Specifically I'm thinking of denials due to verification where the client turns them in later.)
Pinged Placer
Jake pinged Marin (thanks Jake!)
The main questions to answer in the interest of the Flight to Quality:
Master doc has Placer and Marin (auto-updating) along with Solano — pulls in from county tracking data
Have set up a SF tracking tab for us to do outcome lookup on — note: we fill out the YELLOW columns:
I have also assigned people in the San Francisco
tab for our group outcomes pass today:
fyi @daguar I added one last thing above before closing out this issue: 'Quick research on distribution of ineligible details (what % income, active case, did not clear, etc.)'
One more SF outcomes pass today 230-330, cal invite sent
It does look like it goes:
as the big denial reasons
@lippytak To your question of the "ineligible breakdown", here's what I've calculated (manual count):
26 — over income 7 — not eligible during first 2 months (or “ineligible in the first and second month”) — these are all Solano County 3 — immigration/not citizen/LPR (note: these were mostly early cases) 3 — student ineligibility 2 — active on other case 1 — SSI/SSP 1 — “Not a separate household”
(Note: these include both denials and withdrawals)
Added 'composite details' column which shows (a) county detailed denial explanation, or (b) our own denial details we've input.
Finished with the useful data cleaning (it's how I consolidated Level 1 denial reasons above)
I have cleaned up the validation fields to be consistent across the various tracking columns
Crosstabbing denial reasons with counties, here's what we find:
That said, The Big 3™ really are what we have to solve, and roughly in equal portions — let's get to it.