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Description:
Delivers a research plan for a roadmap gap area identified after enabling Yun with data access. Validates our understanding of OFA data workflow, "reporting" related touchpoints along it with STTs, and ideates on report and product requirements
AC:
Research is scoped
Open questions answerable by research plan are clear
Path forward has been discussed in UX Sync
Tasks:
Refine mural/roadmap epic gap area into a holistic research plan
Refine Service Blue Print Map with respective meetings
Notes:
Following on from UX sync:
To speak to your point about reporting @laurenfrohlich, I think we have a fair bit of existing insight when it comes to many of the existing high priority reports. 2909 dug into the reports DIGIT saw a prime opportunity for automating (and we have a lot of that discussion captured here)
Some of what we were seeing in our preliminary analysis of the provided SAS files suggested to us that some of what's happening there might have relevance to some of those reports. Whether or not that's accurate, I think one of the core open questions standing in the way of automating some of these reports is a holistic view of what cleansing / preparation / calculation is needed to get the data into a suitable state for reporting, which is where a lot of the utility of the SAS files comes in for dev.
reitermb
changed the title
[Research Facilitation] Yun & DIGIT Data Cleansing & Reporting Research
[Research Planning] Data Reporting Research
Sep 24, 2024
Description:
Delivers a research plan for a roadmap gap area identified after enabling Yun with data access. Validates our understanding of OFA data workflow, "reporting" related touchpoints along it with STTs, and ideates on report and product requirements
AC:
Tasks:
Notes:
Following on from UX sync:
To speak to your point about reporting @laurenfrohlich, I think we have a fair bit of existing insight when it comes to many of the existing high priority reports. 2909 dug into the reports DIGIT saw a prime opportunity for automating (and we have a lot of that discussion captured here)
Some of what we were seeing in our preliminary analysis of the provided SAS files suggested to us that some of what's happening there might have relevance to some of those reports. Whether or not that's accurate, I think one of the core open questions standing in the way of automating some of these reports is a holistic view of what cleansing / preparation / calculation is needed to get the data into a suitable state for reporting, which is where a lot of the utility of the SAS files comes in for dev.
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