Reducing costs, burden, and risk of human error in large scale survey data collection and Scope of Work reporting using Automation
-Ongoing activities involving multiple stages or partner organizations–such as tracking survey participants or program subcontractor activities–can result in time-consuming and expensive data collection processes that are at risk of human error.
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- Replace or streamlined connections between data collection tools like Google Forms, Excel, and Qualtrics -
- Automate tracking and contacts points such as survey reminders, compensation, -
- Reduced the risk of mistakes at critical points such as survey eligibility, aggregation and summarization for funder reports -
Basic Needs Student Success Survey
-Statewide Dissemination of a survey to assess the impact of Basic Needs programs such as Cal Fresh (SNAP benefits for food) on student academic success measures such as mental health and wellness, eating healthier foods, and doing better in classes.
-R Packages used: - Import: googlesheets4, qualtRics, readr, readxl - Wrangle: dplyr, stringr, janitor - Email: gmailr
Scope of work Funder reporting With 50 subcontracting campuses across California, CHC needs to collect a lot of data from each site that’s collected in multiple formats. The funder requires a specific reporting template, and we wanted to provide a way to share out with the campuses their outreach progress.
-R Packages used:
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- Import: googlesheets4, readxl, googledrive
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- - Wrangle: dplyr, tidyr, rmarkdown, stringr, janitor, lubridate, zoo, naniar, foreach
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- - Visualize & deploy: shiny, writexl, scales -
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- 90% reduction of personnel costs associated with survey administration (800hr/30wk) -
- 98% reduction for funder reporting (2048hr/yr). -
- Allowed for an expanded recruitment at effectively the same cost. -
- Allowed for more time to be spent on program implementation -
- eased the reporting burden on the subcontractors. -
