Presented by: Katie Kaneko September 25, 2018 Ag e nda Study - - PowerPoint PPT Presentation

presented by katie kaneko september 25 2018 ag e nda
SMART_READER_LITE
LIVE PREVIEW

Presented by: Katie Kaneko September 25, 2018 Ag e nda Study - - PowerPoint PPT Presentation

County of Me ndoc ino Mar ke t Compe nsation and Inte r nal E quity Study Presented by: Katie Kaneko September 25, 2018 Ag e nda Study Scope/Purpose Compensation Methodologies Study Process Market/Internal Equity


slide-1
SLIDE 1

County of Me ndoc ino Mar ke t Compe nsation and Inte r nal E quity Study

Presented by: Katie Kaneko September 25, 2018

slide-2
SLIDE 2

Ag e nda

2

  • Study Scope/Purpose
  • Compensation Methodologies
  • Study Process – Market/Internal Equity
  • Observations
  • Recommendations
slide-3
SLIDE 3

Study Sc o pe / Purpo se

3

Base salary study for 150 classes in three phases

  • Phase 1 Purpose
  • to assess market competitiveness and evaluate market

trends for selected benchmarks

  • to assess effectiveness of point factor (Slavin) system
  • Utilize findings to formulate recommendations and

methodologies for the remaining two phases of the study.

slide-4
SLIDE 4

Co mpe nsa tio n F a c to rs

4

Compensation plans are a combination of two components:

  • Market pricing
  • Internal equity

Pay strategy will drive how these two components are used in formulating the compensation plan.

slide-5
SLIDE 5

Ma rke t Pric ing

5

Evaluates external competitiveness

  • Variables TBD
  • Comparator agencies identified
  • Benchmarks selected
  • The median (or mean) of the data arrays are

used to set salaries for benchmarks

  • Philosophy determined relative to median
slide-6
SLIDE 6

I nte rna l E q uity

6

Two approaches:

  • Market/Whole Job Analysis – K&A Model
  • Most common compensation model
  • Quantitative (Point Factor)/Market – Slavin Model
  • Used in organizations where remote location or

unique services mean there are few market comparators

slide-7
SLIDE 7

Sla vin Mo de l

I nte rna l E q uity/ Ma rke t I nte g ra tio n

7

Quantitative – multiple factors are evaluated and points are assigned to each class

  • Points determine class placement relative to other classes,

including those in the same job series and family

  • Limited benchmarks are surveyed to regress market data and

points; formulas (pay lines) are used to set pay for classes.

  • Pay can only be increased through adding more points.
  • Market pricing is a secondary driver of pay.
slide-8
SLIDE 8

K &A Mo de l

Ma rke t/ I nte rna l E q uity I nte g ra tio n

8

Extensive benchmarking is conducted to anchor pay to market.

  • Non-benchmark classes are aligned with benchmarks

through whole job analysis/non-quantitative method

  • Similar factors as Slavin are considered for internal

alignment, but no points are used

  • Standard percentage differences are applied among

classes in the same job series/family for consistency  Market pricing is a primary driver of pay.

slide-9
SLIDE 9

Pro s a nd Co ns –Qua ntita tive Syste ms (Sla vin)

9

Pros

  • Properly designed; relatively reliable and objective
  • Compensable factors are tailored to organization’s

needs

  • Clear degrees of compensable factors to evaluate jobs
  • Points can be integrated with market data through

linear regression

slide-10
SLIDE 10

Pro s a nd Co ns – Qua ntita tive Syste ms (Sla vin)

10

Cons

  • Time consuming to build and maintain
  • Not market sensitive; competitiveness loss
  • Class specification content must be updated and accurate
  • Without proper calibration, can be subject to “rater bias”
  • Proprietary systems can be difficult to modify;
slide-11
SLIDE 11

Study Pro c e ss – Ma rke t Ana lysis

11

County Human Resources

  • Selected 50 benchmarks
  • Identified comparator agencies

K&A

  • Collected supporting documentation from each agency
  • Classification specifications
  • Salary schedules
  • Organization charts
  • Position control documents
slide-12
SLIDE 12

Study Pro c e ss – Ma rke t Ana lysis

12

K&A

  • Analyzed classifications from each agency to ensure

matches meet 70% comparability threshold

  • Prepared base salary findings for review and comment by

Human Resources

slide-13
SLIDE 13

Study Pro c e ss – I nte rna l E q uity Ana lysis

13

K&A

  • Examined the Slavin System design, factors and historic use

by the County since its inception

  • Conducted analyses to determine how salaries and internal

relationships are impacted by using the Slavin model

  • Compared Slavin outcome to K&A outcome
  • Prepared a status report on findings for Phase I.
slide-14
SLIDE 14

Study Ob se rva tio ns

14

Over time the County has:

  • Modified the number of pay bands to broaden ranges and

incorporate new classes, but points have not changed

  • Relied less on Slavin in favor of market realities, i.e.
  • Despite point values assigned, market trends require higher level

pay to attract and retain staff Sufficient comparator agencies exist to survey pay trends; conditions conducive to Slavin system method effectiveness do not exist.

slide-15
SLIDE 15

Study Ob se rva tio ns

15

When K&A integrated market pay into Slavin points:

  • Significant market variances on data results among job classes

When using market/whole job analysis methodology in setting salaries:

  • Differences in alignment among job classes in the same series

between K&A outcome and Slavin outcome

  • These differences can impact hiring rates, impacting candidate

attraction

slide-16
SLIDE 16

Me tho d Va ria nc e s

16

Market position- Koff Methodology

10% below Market Median w/ Cost of Labor adjustments

  • Benchmarks within 5% = 21%
  • Benchmarks above market > 5% = 23%
  • Benchmarks below market > 5% = 56%

 Swing 27.6% above to 36.8% below

Point Factor – Slavin Methodology

Integrating market median

  • Benchmarks within 5% = 38%
  • Benchmarks above market > 5% = 27%
  • Benchmarks below market > 5% = 35%

 Swing 21.06% above to 11.76% below

slide-17
SLIDE 17

Co st o f L a b o r Diffe re nc e s

17

Compar ator Age nc y Cost of L abor

City o f Sa nta Ro sa 12.40% Co unty o f E l Do ra do / Pla c e rville 8.50% Co unty o f Humb o ldt/ E ure ka 0% Co unty o f L a ke / L a ke po rt 0% Co unty o f Na pa / Na pa 13.80% Co unty o f Ne va da / Gra ss Va lle y 4.00% Co unty o f So no ma / Sa nta Ro sa 12.40% Co unty o f Sutte r/ Yub a City 4.30% Co unty o f Yo lo / Wo o dla nd 9.00%

Ave ra g e Cost of L a bor Diffe re nc e 7.2%

slide-18
SLIDE 18

Study Re c o mme nda tio ns

18

If market competitive strategy is desired:

  • Establish pay philosophy targeting desired relationship to the

broader market

  • Incorporate regional pay differences by adjusting salaries

from other agencies as necessary

  • Create a new range structure mirroring industry practice
  • Develop implementation strategy; multi-year
  • Establish/memorialize a practice of measuring the market

to attract and retain staff

slide-19
SLIDE 19

Study Re c o mme nda tio ns

19

When setting the practices, the County is not compelled to pay at a certain level, e.g., the median, but should consider setting a standard.

  • Economic realities may dictate a lower level of pay, such as a

certain percentage below the market Utilize the whole job analysis approach to internal equity

  • Where necessary, the Slavin System can be used for jobs which

are difficult to slot internally

slide-20
SLIDE 20

Ne xt Ste ps

20

  • Next 50 benchmarks
  • Utilize whole job analysis methodology
  • Cost of Labor
  • % to market median
  • Target completion of June 30, 2019
  • Consider incorporating total compensation