Confidential. All rights reserved by inTouch analytics

inTouch analytics

Attrition Modeling for a large Staffing Busines...
Attrition patterns across JFM: by attrition time period
Jan Attrited

Feb Attrited

Mar Attrited
983

More likely to be co...
Over all Trends in Attrition Probabilities
0.350

About a third of all attrites leave within the
3 – 6 month time band

0....
Understanding Attrition
Perceptual Map for Salary Range
Symmetrical Normalization
Days
Salary range

1.0

Dimension 2

271...
Understanding Attrition
Perceptual Map for Candidate Location
Symmetrical Normalization
No of Days
Location

271-365

Dime...
Understanding Attrition
Perceptual Map for Age
Symmetrical Normalization
Age category

Days

0.5

91-180

181-270

Dimensi...
Symmetrical Normalization

Understanding Attrition
Perceptual Map for Industry

Days
INDUSTRY

Dimension 2

1.5
Government...
Attrition Model Results
Model Summary

Model R2: 62.9%
#

Attribute

2-Log
Likelihood

Chi-Square

df

Sig

1

Industry

5...
inTouch analytics

Attrition Modeling for Staffing

Confidential. All rights reserved by inTouch analytics
Attrition Trends by Salary Range
22000

5,000 – 10,000 sees large candidate additions across JFM
17000

Upto Rs.5,000
Rs.5...
Attrition Trends by Salary Range
900

800

700

600

500

January
February

400

Attrition in March grows faster for highe...
Attrition Trends by Candidate Location
14000

12000

Substantial candidates added from the South over JFM…
…candidates att...
Attrition Trends by Candidate Location
700

600

500

North, South & West account for well over 90% of the 1,418 attrites
...
Attrition Trends by Age Group
14000

12000

10000

Younger age categories [22 through 29 years] see substantial additions
...
Attrition Trends by Age Group
450

400

350

Quantum jumps in attrition for lower age categories
300

250

January
Februar...
Attrition Trends by Gender
14000

12000

10000

While new job additions are higher in number, they aren’t
growing as fast ...
Attrition Trends by Gender
1400

1200

1000

800

Male candidates attrite in much larger numbers and much faster
600

F
M
...
Attrition Trends by Domain
14000

12000

10000

Admin and Sales/Marketing positions present in large numbers
other domains...
Attrition Trends by Domain
350

300

250

Attrition is seen to spread across domains
over Feb and Mar

200

January

150

...
Attrition Trends by Industry
10000

9000

8000

Job growth is concentrated in BFSI and IC&R industries…

7000

6000

5000
...
Attrition Trends by Industry
300

…while attrition is spread
across BFSI, Auto, Agri, Comm, Energy…
250

200

150

January...
Attrition Trends by Industry
180

160

…IT, Manufacturing and Retail
140

120

100

80

January
February

60

March
40

20...
inTouch analytics

Attrition Modeling for Staffing

Confidential. All rights reserved by inTouch analytics
Range Statistics
Expanded Salary Range
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23

1001-2000
2001-3000
30...
inTouch analytics

Attrition Modeling for Staffing

Confidential. All rights reserved by inTouch analytics
Attrition Probabilities: top 10 ranges of salary
0.60

Probability of Attrition

0.50

0.40

0.30

0.20

0.10

0.00

5

6
...
Attrition Probabilities: Top 10 Profiles
0.90
0.80

Probability of Attrition

0.70

0.60
0.50
0.40

0.30
0.20
0.10
0.00
Sa...
Attrition Probabilities: top 10 candidate locations
0.40

0.35

Probability of Attrition

0.30

0.25

0.20

0.15

0.10

0....
Attrition Probabilities: Top 10 Industries
0.90
0.80

Probability of attrition

0.70
0.60
0.50
0.40
0.30
0.20
0.10
0.00

M...
Attrition Probabilities: Age groups
0.50
0.45
0.40

Probability of Attrition

0.35
0.30
0.25
0.20

0.15
0.10
0.05
0.00

18...
Confidential. All rights reserved by inTouch analytics
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Attrition model and trends for a staffing business

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Attrition of associates employed for clients by staffing providers is a peculiar problem. Neither the client nor the staffing provider is in complete control of the situation. Modeling the problem at a high level, with Salary, Industry, Candidate age, and such other dimensions serves to familiarize one with the broad causes of attrition.The client and staffing provider could get together, benchmark their mutual performance alongside each of the dimensions and take proactive steps to stem attrition.

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  1. 1. Confidential. All rights reserved by inTouch analytics inTouch analytics Attrition Modeling for a large Staffing Business
  2. 2. Attrition patterns across JFM: by attrition time period Jan Attrited Feb Attrited Mar Attrited 983 More likely to be contract termination Total Candidate Base: January: 36,828 February: 39,114 March: 40,050 Mar loses substantially more, but attrition is significant in case of time periods > 4 – 6 months 453 Dormant Attrition activity over Jan & Feb 238 134 118 4 1 5 11 5 1 9 54 12 2 Between 30 & 45 Between 45 & 60 Between 60 & 90 Between 90 & 120 Between 120 & days days days days 180 days 6 Between 180 & 270 days Confidential. All rights reserved by inTouch analytics 12 3 Between 270 & 360 days Beyond 360 days
  3. 3. Over all Trends in Attrition Probabilities 0.350 About a third of all attrites leave within the 3 – 6 month time band 0.300 Probability Estimate 0.250 Two extremes where early attrition is likely Probability of Attrition 0.200 0.150 Progressively reduced attrition likelihood with time periods > 6 months 0.100 0.050 0.000 0-30 31-60 61-90 91-180 181-270 271-365 Days of Attrition Confidential. All rights reserved by inTouch analytics >365
  4. 4. Understanding Attrition Perceptual Map for Salary Range Symmetrical Normalization Days Salary range 1.0 Dimension 2 271-365 Higher Salary ranges associated with Longer time periods 61-90 181-270 0.5 11 10 >365 0.0 6 9 8 12 13 5 0-30 91-180 31-60 7 -0.5 Click to view 4 -1.0 -1.0 -0.5 0.0 0.5 1.0 1.5 Dimension 1 Confidential. All rights reserved by inTouch analytics Expanded Salary range
  5. 5. Understanding Attrition Perceptual Map for Candidate Location Symmetrical Normalization No of Days Location 271-365 Dimension 2 1.0 High longevity locations 181-270 Bangalore 0.5 Others Chandigarh/Gurgaon >365 Delhi Chennai 91-180 0.0 Kolkata Ahmedabad Lucknow 61-90 Hyderabad Low longevity locations 0-30 Mumbai 31-60 -0.5 -1.0 -0.5 0.0 Dimension 1 Confidential. All rights reserved by inTouch analytics 0.5
  6. 6. Understanding Attrition Perceptual Map for Age Symmetrical Normalization Age category Days 0.5 91-180 181-270 Dimension 2 271-365 26-29yrs 22-25yrs 61-90 0.0 0-30 30-33yrs >56yrs 34-37yrs >365 18-21yrs31-60 -0.5 Higher Age ranges associated with Longer time periods 38-45yrs -1.0 -1.5 -2.0 46-55yrs -2.5 -1 0 1 2 3 4 Dimension 1 Confidential. All rights reserved by inTouch analytics
  7. 7. Symmetrical Normalization Understanding Attrition Perceptual Map for Industry Days INDUSTRY Dimension 2 1.5 Government & NGO Healthcare and Pharma Infrastructure, Cons 1.0 91-180 Energy BFSI High longevity Industries Agriculture Training and Education Logistics and Transportation 0.5 181-270 Retail >365 0.0 271-365 IT Media and Entertainment Automotive Consumer Durables Communication Food and Hospitality 61-90 Marketing Services ITeS -0.5 FMCG Others Manufacturing Low longevity Industries 31-60 0-30 -1.0 -4 -3 -2 -1 Dimension 1 Confidential. All rights reserved by inTouch analytics 0 1
  8. 8. Attrition Model Results Model Summary Model R2: 62.9% # Attribute 2-Log Likelihood Chi-Square df Sig 1 Industry 57919.357 14681.785 42 0.000 2 Age 43760.233 522.622 16 0.000 3 Domain 44556.135 1318.563 26 0.000 4 Candidate Location 57229.308 13991.737 64 0.000 5 Salary 44915.406 1677.835 130 0.000 Confidential. All rights reserved by inTouch analytics
  9. 9. inTouch analytics Attrition Modeling for Staffing Confidential. All rights reserved by inTouch analytics
  10. 10. Attrition Trends by Salary Range 22000 5,000 – 10,000 sees large candidate additions across JFM 17000 Upto Rs.5,000 Rs.5,000 to Rs.10,000 Jan to Feb growth faster for candidate additions Rs.10,000 to Rs.15,000 12000 Rs.15,000 to Rs.20,000 Incremental growth for all other ranges Rs.20,000 to Rs.25,000 Rs.25,000 and above 7000 Growth in attrites faster over Feb – Mar 2000 Totals -3000 Attrited January Totals Attrited Totals February Confidential. All rights reserved by inTouch analytics Attrited March
  11. 11. Attrition Trends by Salary Range 900 800 700 600 500 January February 400 Attrition in March grows faster for higher salary ranges although, growth is significant for lower ranges 300 March 200 100 0 Upto Rs.5,000 Rs.5,000 to Rs.10,000 Rs.10,000 to Rs.15,000 Rs.15,000 to Rs.20,000 Rs.20,000 to Rs.25,000 Confidential. All rights reserved by inTouch analytics Rs.25,000 and above
  12. 12. Attrition Trends by Candidate Location 14000 12000 Substantial candidates added from the South over JFM… …candidates attrite across regions in Feb-Mar 10000 8000 North East West 6000 South Center 4000 2000 0 Totals Attrited JANUARY Totals Attrited FEBRUARY Totals Attrited MARCH Confidential. All rights reserved by inTouch analytics
  13. 13. Attrition Trends by Candidate Location 700 600 500 North, South & West account for well over 90% of the 1,418 attrites 400 January February March 300 200 100 0 North East West South Confidential. All rights reserved by inTouch analytics Center
  14. 14. Attrition Trends by Age Group 14000 12000 10000 Younger age categories [22 through 29 years] see substantial additions 18-21 22-25 8000 26-29 30-33 6000 34-37 38-45 46-55 and quick uptake in attrition as well 4000 2000 0 Totals Attrited Totals Attrited Totals Confidential. All rights reserved by inTouch analytics Attrited >55
  15. 15. Attrition Trends by Age Group 450 400 350 Quantum jumps in attrition for lower age categories 300 250 January February 200 March A clear inverse relationship between age and attrition 150 100 50 0 18-21 22-25 26-29 30-33 34-37 38-45 Confidential. All rights reserved by inTouch analytics 46-55 >55
  16. 16. Attrition Trends by Gender 14000 12000 10000 While new job additions are higher in number, they aren’t growing as fast as attrites Axis Title 8000 6000 4000 2000 0 Totals Attrited Totals JANUARY Attrited Totals FEBRUARY Attrited MARCH F 4111 17 4329 23 4510 110 M 32717 127 34296 466 35540 1308 Confidential. All rights reserved by inTouch analytics
  17. 17. Attrition Trends by Gender 1400 1200 1000 800 Male candidates attrite in much larger numbers and much faster 600 F M Female candidates seem to have caught up during March 400 200 0 January February Confidential. All rights reserved by inTouch analytics March
  18. 18. Attrition Trends by Domain 14000 12000 10000 Admin and Sales/Marketing positions present in large numbers other domains aren’t seeing much m-o-m growth IT Accounts Administration 8000 Blue Collar Customer Support Engineering 6000 Field Sales HR Legal 4000 Others Sales and Marketing Specialized Services 2000 0 Totals Attrited January Totals Attrited February Totals Attrited March Confidential. All rights reserved by inTouch analytics
  19. 19. Attrition Trends by Domain 350 300 250 Attrition is seen to spread across domains over Feb and Mar 200 January 150 February March 100 50 0 Confidential. All rights reserved by inTouch analytics
  20. 20. Attrition Trends by Industry 10000 9000 8000 Job growth is concentrated in BFSI and IC&R industries… 7000 6000 5000 4000 3000 2000 1000 0 Totals Attrited Totals January Agriculture Automotive BFSI Communications Attrited Totals February Consumer Goods Energy, Oil & Gas Attrited March FMCG Food and Hospitality Confidential. All rights reserved by inTouch analytics Government & NGO IC&R
  21. 21. Attrition Trends by Industry 300 …while attrition is spread across BFSI, Auto, Agri, Comm, Energy… 250 200 150 January February March 100 50 0 Confidential. All rights reserved by inTouch analytics
  22. 22. Attrition Trends by Industry 180 160 …IT, Manufacturing and Retail 140 120 100 80 January February 60 March 40 20 0 Confidential. All rights reserved by inTouch analytics
  23. 23. inTouch analytics Attrition Modeling for Staffing Confidential. All rights reserved by inTouch analytics
  24. 24. Range Statistics Expanded Salary Range 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 1001-2000 2001-3000 3001-4000 4001-5000 5001-6000 6001-7000 7001-8000 8001-9000 9001-10000 10001-11000 11001-12000 12001-13000 13001-14000 14001-15000 15001-16000 16001-17000 17001-18000 18001-19000 19001-20000 20001-21000 21001-22000 22001-23000 23001-24000 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 24001-25000 25001-26000 26001-27000 27001-28000 28001-29000 29001-30000 30001-31000 31001-32000 32001-33000 33001-34000 34001-35000 35001-36000 36001-37000 37001-38000 38001-39000 39001-40000 40001-41000 41001-42000 42001-43000 43001-44000 44001-45000 45001-46000 46001-47000 47 47001-48000 70 70001-71000 48 48001-49000 71 71001-72000 49 49001-50000 72 72001-73000 50 50001-51000 73 73001-74000 51 51001-52000 74 74001-75000 52 52001-53000 75 75001-76000 53 53001-54000 76 76001-77000 54 54001-55000 77 77001-78000 55 55001-56000 78 78001-79000 56 56001-57000 79 79001-80000 57 57001-58000 80 80001-81000 58 58001-59000 81 81001-82000 59 59001-60000 82 82001-83000 60 60001-61000 83 83001-84000 61 61001-62000 84 84001-85000 62 62001-63000 85 85001-86000 63 63001-64000 86 86001-87000 64 64001-65000 87 87001-88000 65 65001-66000 88 88001-89000 66 66001-67000 89 89001-90000 67 67001-68000 90 90001-91000 68 68001-69000 91 91001-92000 Confidential: meant only for evaluation by Artech 69 69001-70000 92 92001-93000 and all rights reserved by inTouch analytics 93 94 95 96 97 98 99 100 93001-94000 94001-95000 95001-96000 96001-97000 97001-98000 98001-99000 99001-100000 100000 & above
  25. 25. inTouch analytics Attrition Modeling for Staffing Confidential. All rights reserved by inTouch analytics
  26. 26. Attrition Probabilities: top 10 ranges of salary 0.60 Probability of Attrition 0.50 0.40 0.30 0.20 0.10 0.00 5 6 7 8 9 4 10 12 11 13 0-30 0.25 0.17 0.08 0.14 0.14 0.37 0.12 0.13 0.12 0.13 31-60 0.13 0.12 0.14 0.11 0.14 0.22 0.10 0.11 0.15 0.11 61-90 0.18 0.19 0.09 0.12 0.14 0.11 0.14 0.12 0.18 0.15 91-180 0.28 0.29 0.48 0.35 0.30 0.19 0.36 0.41 0.30 0.41 181-270 0.08 0.11 0.09 0.13 0.13 0.05 0.12 0.10 0.09 0.08 271-365 0.03 0.05 0.07 0.08 0.07 0.03 0.06 0.06 0.06 0.05 >365 0.06 0.07 0.05 0.07 0.08 0.02 0.09 0.09 0.10 0.07 Confidential. All rights reserved by inTouch analytics
  27. 27. Attrition Probabilities: Top 10 Profiles 0.90 0.80 Probability of Attrition 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Sales Executive Document Executive Pureit Water Expert Data Entry Operator Trainee Pureit Water Expert Technical Helper Associate Smart Care Executive Assistant Installer Sales Associate 0-30 0.15 0.03 0.53 0.09 0.43 0.15 0.00 0.08 0.06 0.56 31-60 0.15 0.04 0.15 0.08 0.13 0.07 0.00 0.63 0.06 0.06 61-90 0.18 0.05 0.08 0.18 0.13 0.05 0.01 0.13 0.18 0.14 91-180 0.31 0.84 0.18 0.40 0.23 0.14 0.02 0.10 0.16 0.19 181-270 0.13 0.02 0.03 0.09 0.04 0.58 0.03 0.03 0.13 0.03 271-365 0.03 0.01 0.01 0.09 0.01 0.01 0.19 0.01 0.07 0.01 >365 0.05 0.01 0.01 0.08 0.02 0.01 0.75 Confidential. All rights reserved by inTouch analytics 0.02 0.35 0.02
  28. 28. Attrition Probabilities: top 10 candidate locations 0.40 0.35 Probability of Attrition 0.30 0.25 0.20 0.15 0.10 0.05 0.00 Mumbai Delhi Ahmedabad Bangalore Lucknow Kolkata Chandigarh Hyderabad Chennai 0-30 0.17 0.14 0.16 0.14 0.22 0.30 0.20 0.18 0.14 31-60 0.16 0.12 0.10 0.09 0.12 0.13 0.10 0.18 0.13 61-90 0.16 0.12 0.21 0.14 0.19 0.10 0.12 0.17 0.18 91-180 0.36 0.32 0.34 0.31 0.28 0.24 0.28 0.26 0.33 181-270 0.08 0.14 0.06 0.15 0.06 0.06 0.09 0.10 0.09 271-365 0.03 0.05 0.08 0.07 0.07 0.09 0.09 0.08 0.04 >365 0.04 0.11 0.05 0.09 0.06 0.09 0.12 0.04 0.09 Confidential. All rights reserved by inTouch analytics
  29. 29. Attrition Probabilities: Top 10 Industries 0.90 0.80 Probability of attrition 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Media and Communicati Entertainmen on t BFSI Manufacturin g FMCG Consumer Durables 0-30 0.09 0.23 0.40 0.05 0.10 31-60 0.08 0.19 0.10 0.08 61-90 0.12 0.17 0.12 91-180 0.55 0.17 181-270 0.09 271-365 >365 Energy IT Automotive 0.12 0.01 0.06 0.10 0.05 0.07 0.01 0.04 0.12 0.03 0.06 0.18 0.01 0.04 0.09 0.28 0.05 0.14 0.20 0.04 0.11 0.16 0.09 0.06 0.01 0.52 0.17 0.05 0.07 0.06 0.03 0.07 0.02 0.75 0.08 0.07 0.05 0.57 0.13 0.05 0.08 0.03 0.02 0.04 0.19 0.83 0.10 0.34 Confidential. All rights reserved by inTouch analytics
  30. 30. Attrition Probabilities: Age groups 0.50 0.45 0.40 Probability of Attrition 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 18-21 yrs 22-25 yrs 26-29 yrs 30-33 yrs 34-37 yrs 38-45 yrs 46-55 yrs >56 yrs 0-30 0.23 0.17 0.15 0.14 0.12 0.09 0.06 0.13 31-60 0.17 0.13 0.12 0.11 0.10 0.12 0.05 0.15 61-90 0.18 0.15 0.14 0.13 0.12 0.08 0.16 0.11 91-180 0.30 0.35 0.34 0.33 0.29 0.22 0.08 0.34 181-270 0.08 0.10 0.11 0.10 0.10 0.10 0.06 0.13 271-365 0.01 0.04 0.07 0.10 0.16 0.24 0.44 0.11 >365 0.03 0.06 0.09 0.09 0.11 0.14 0.15 0.02 Confidential. All rights reserved by inTouch analytics
  31. 31. Confidential. All rights reserved by inTouch analytics

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