Automating Recruiting Qualifications and Questions 2017PSFT-101490 Ted Brand App Engineer Wells Fargo

About Wells Fargo Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Founded in 1852, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial financial services through more than 8,600 locations, 13,000 ATMs, online (wellsfargo.com), and mobile devices. Employees: 269,000+ team members in 36 countries and territories across our more than 90 businesses Early Adopter: Initially went live with PeopleSoft version 2.0 in 1993 Modules: HR, Payroll for NA, Benefits Administration, eRecruit, and related Self-Service Apps and HR Help Desk. Home-grown Manager Self-Service App. Stay Current Strategy: With the upgrade to HCM 9.2, Wells Fargo committed to staying current, by applying two PUM images per year. Current Installation: HCM: 9.2.19 CRM: 9.2.12 PT: 8.55.16

Agenda Vanilla Features Used Gaps and Customizations Results Lessons Learned Next Steps

Vanilla Features Qualifications JPM Profiles Questions Pre-screening Questions Online Screening Questions Send emails when fail

Gaps Consistency: questions across job openings Efficiency: questions setup and questions related to qualifications Efficiency: required quals points Compliance: jobcodes can be used before profiles are set up Compliance: quals and questions can change after requisition is opened Consistency: jobcode changes don’t wipe out prior quals Consistency: quals don’t automatically show on posting

Customizations Linking questions to qualifications (JPM_CAT_ITEMS save post change) Automatically pull in questions when quals are pulled in Required qualifications automatically knock out Edit to make sure profile is set up for the jobcode used on the req Lock qualifications and questions after requisition is opened Jobcode changes wipe out prior quals Automatically populate posting with quals Refresh posting information when quals change

Results Mixed Automatically screened out 153K during first half of 2017 Only about 10% of our applications 119K still screened out for these same quals by recruiters 14% assessment testing screens out 38% desired quals screen out 9% we cancel req, 11% they drop out, 4% we hire 3% we hire on another req

Learnings Layers are good: some people prevaricate Assessment testing’s value: self-selection tool Vanilla data structures, flavored peoplecode Custom packages

Next Steps This year: Post-application screening questions Additional screening layer Question sets without question codes Applicant-supplied and Recruiter phone screening Multiple screening rounds Recruiter evaluation worklist Next year: Video interviewing

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2017PSFT-101490