Team members: Yifei TangDonglin Jia

Mohan Wang

Wharton People Analytics Conference Case Competition

Project ObjectiveProject MethodologyKey Findings RecommendationsQ&A

Overview

2

Measure university performance based upon tier adjustments

Find the optimal tier and the best tier assignment for each university

Optimize recruiter resource allocation and maximize the number of qualified candidates

Project Objective

3

Tier 3 should cover more universities and the number of uncovered universities should be reduced

Tier 1 and Tier 2 should keep their current coverage

We suggest: Tier 1 : Tier 2 : Tier 3 = 83 : 81 : 208

Recommendations

4

Project Methodology

Transfer variables from student level to university level, to be used as indicators to measure productive universities

Cluster universities using Performance-Potential Matrix

Perform Lead Scoring Analysis to calculate expected number of qualified applicants

Leverage Large-scale Linear Programming to find optimal solution for recruiter resource allocation

5

2016 only 2017 only

126 279 12

Our Focus86 417

23

Target Universities

6

0204060

Number of schools

<5 5--10 10--1505

1015

Number of ap-plicants

We only focus 417 universities that add valueInactive universities: 86Unknown universities: 23

7

In 2017, accepted rate in tier 2 & 3 were roughly same to that in 2016, which could be further improved

Fine Tuned Tier Policy Is On The Right Track

Tier1 Tier 2 Tier 30

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

Accepted rate for each tier

20172016 20162017 2017

Evaluation Of Tier Policy Change

High Performance

High Potential

Low Potential

Low Performance

8

Improperly upgrade resulted in waste of recruiter resourceImproperly downgrade led to loss of potential candidates

Lead Scoring Model

Purpose: how many students can be hired from each university if it was NOT in its current tier?

Based upon the predicted number of students, optimize the allocation of recruiters

Example:University of Husky was in Tier-2 in 2016 and in Tier-1 in

2017. How many students can be hired from University of Husky if it was in Tier-2 in 2017? What if in Tier-3?

9

Segment Universities

Tier-2 Tier-2

Tier-3

None

Tier-1

2016 2017

#2#3

#1Similar features &increase rate

Predict which segment these universities belong to based on their features

Conversion Probability: If these universities were in Tier-1 in 2017, how likely the number of students hired would increase by a certain rate

10

Sample Coefficient Table

University

Tier 1 Tier 2 Tier 3 No Policy

# 1 43.00 29.83 25.83 0.00# 2 5.00 3.82 2.49 0.00# 3 12.00 4.19 1.43 0.00# 4 6.61 4.08 3.00 0.00

… … … … …

Generally speaking, the higher the tier, the more students can be hired

However, with limited recruiter resource and varied sensitivity to tiers of each university, we have to optimize the tier allocation to maximize the number of students can be hired 11

Tier 1 79

Tier 2118

Tier 394

No Policy 126

Large-scale Linear Optimization

Tier 183

Tier 281

Tier 3208

No Policy45

Optimized Allocation: Current Allocation:

Strategy #1: Tier 3 should cover more universities Strategy #2: Tier 1 & Tier 2 should keep their current coverage Number of students who accepted the offer is predicted to

increase by 28.1%, reaching 3059

12

Questions & Discussion

13