Use of Data in Fundraising at Student Life
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Applying the process of contextual inquiry to find the problems with data collection and its use for fundraising by Student Life at the University of Michigan
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Use of Data in Fundraising at Student Life
- 1. Use of data in fundraising at Design Forge Anand Doshi, Paris Hsu, Emily Koelzer, Manikandan Kandadai Venkatesh
- 2. 27* units 1000+ student orgs Life campus involvement student support healthy living identity & justice
- 4. The Process ● Background Research ● Interviews ● Interpretation ● Affinity Wall ● Brainstorming ● Presentation ● Final Report
- 5. Your Problems are Ours Now :)
- 6. Student Life Development needs student involvement data for affinity-based fundraising The data collection process is manual, inconsistent, time consuming The Problem
- 7. Our Findings
- 8. Standard template has extra information Templates are not user friendly All units are different
- 9. No incentive for data stewards Not in job description Unaware about their contribution “What’s in it for me?”
- 10. Breakdowns Difference of opinion about the “granularity” of data required Data Stewards are overwhelmed by the dynamic nature of the template Wish for simpler templates and less data
- 11. “It is a lot of manual work” Source of data is scattered - Quantum of the data is huge Existing infrastructure such as Sessions is not leveraged. Data collection is not automated across all data units - No funds for Card Readers Experience of Data stewards determines the efficiency
- 12. Widening Knowledge Gap Varying levels of expertise among different Data Stewards Knowledge is lost in staff transition Data Stewards work in isolation
- 13. “In my position I worry much more than fundraising” “I might need an assistant” I am a Superman
- 15. transparency & collaboration Student Life Development Student Life Units Data Team Improve across stakeholders Our Recommendations
- 16. Student Life Development Student Life Units Data Team provide motivation increase communication Announce fundraising efforts Survey for units More collaborations with student units Shared knowledge base Provide do’s & dont’s with examples about expected data format Regular meetings / listservs
- 17. Student Life Development Student Life Units Data Team Get external help to clean up data Provide resources Selection of Data Stewards Simplify template Additional Recommendations
- 18. Thanks