Using Crowdsourcing To Cut Document Verification Time By 85%

Webinar Case Study


This webinar will take place on:
December 08, 2020
11:00 AM - 12:00 PM EST

Too often, a single obstacle can delay a coordinated effort to scale business operations. For Community Brands` Financial Aid division that obstacle was document verification, one of three objectives that comprise the company’s Financial Aid offering.

Scaling Case Study

In the business cycle for K-12 Financial Aid, private schools appropriate the funds they have to distribute to eligible families of qualifying students. Eligibility is determined by the financial information each family enters in the online application, which Community Brands must then verify using the supporting financial documents the family provides.

Harnessing Processing Capacity

The primary challenge of this business cycle lies in processing capacity. Families submit financial aid applications once annually—just before the school year begins—the busiest time in terms of administrative workload. Even assigning full-time employees to the sole task of verifying the information in the applications was insufficient. Matching the data from the documents to that in the application would take 10-12 business days per application. Furthermore, manual verification of financial documents was 70% accurate at most, and lastly, having an individual handle confidential documents in their entirety is not best practice in terms of data privacy.

Solving Document Verification

Community Brands needed a solution for document verification to provide their K-12 customers with quick, accurate and confidential processing of financial aid applications. With ScaleHub’s crowdsourcing solution, Community Brands got everything they needed: the scalability, accuracy and confidentiality that financial aid applications require.

In this webinar, Community Brand’s Kendra Foss will share how their Financial Aid division was able to acheive lessons learned.

Lessons Learned In This Webinar

  • Cutting document verification time from 14 days to less than 2 days
  • Saving 30% year over year
  • Optimizing data privacy
  • Increasing data accuracy rate to 99%
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