Metrics for Organizational Life · 2018. 4. 1. · 16 Classifications: The 4 Types of Metrics...
Transcript of Metrics for Organizational Life · 2018. 4. 1. · 16 Classifications: The 4 Types of Metrics...
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Decision making processes for choosing the right metrics
Metrics for Organizational Life
For…
Session ObjectiveTo provide the fundamental decision-making process for using, developing, and managing
metrics
for HR professionals
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Agenda
Case & ExercisesLet’s start with a little thinking
exercise, and a friendly competition
IntroductionWe’ll introduce the different classifications of metrics.
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Static MetricsExamples of static metrics, their uses.
Process MetricsExamples of process metrics, their uses.
Network
MetricsExamples of network metrics, their uses
Data MetricsExamples of data metrics, their uses.
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Tying it all togetherThrough examples, analysis and some
critical thinking
DACEMI ModelA model built on Six Sigma that helps to facilitate metric design and measurement
Real Case ExamplesWe’ll discuss specific examples where
the processes and methods listed were used
Advice & To dosWe’ll conclude with some advice and some things you can do for your company
Case & Exercise
Health Service ProviderNew Leadership
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New Leadership at an HSOYou are the head of HR for a global health services organization.
Your new CEO asks for a meeting where she requests you brief her
on the state of the organization from the HR perspective. In that
meeting she mentions that she would like to tie the performance
of employees to KPIs, and to the HR function. From the way she
talks about her strategic plan, you can guess that she is a fan of
concrete evidence, preferably in the form of measured trends, and
data-based insights.
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-Dona Doni-
Chief Executive Officer
First question is: What does the organization currently measure?
Second question is: What should we be measuring that we’re not?
Rapport!
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HR is behind…
The State of Metrics
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Surveys
1200+
Responded
31%
Do not use
Metrics
12%
Use Predictive
Analytics
Based on two surveys conducted by IPMA HR (2010), and a join survey by Mercer and World at Work (2012)
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Does HR possess internal capabilities?
The State of Metrics
68% 51% N < 15 14%
HRIS HRIS Export? # of Metrics CPH
Suitable for all categories business and personal presentation,eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae eaque ipsa quae ab illo inventore
Capabilities
HR professionals sometimes do not even possess the capabilitiesfor measuring the most basic business-critical metrics. When theydo, they are restricted by outdated technology, or lack ofcustomization options.
Most Popular Metric—Headcount 68% of respondents said they use headcount to make decisions, butonly 60% of them said that their HRIS allows them to measure it.
Company Measures Headcount
HRIS Measures Headcount
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The State of Metrics
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Centralized Analysis
There is a central owner usually in a center
of expertise.
Don’t Know
Wow!
Currently Decentralized
Decentralized but have plans to create
a COE within 12 months
Decentralized Analysis
There is no central owner of
metrics and analysis.
The State of Metrics
47% 5%
9%
39%
HR organizations do not possess focus and do not
apply the necessary resources to use
measurement and metrics to their fullest
potential, but is it because they don’t want to or
because they’re not given the resources?
Dedicated Resources
of respondents have only 1-2
FTE equivalent dedicated to
analysis and metrics.
47%
Not enough focus. Not enough resources.
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Source: Metrics that Matter to HR. Sourced from https://www.shrm.org/multimedia/webcasts/Documents/11eidson.pdf
The State of Metrics
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ClassificationThe way we classify something changes our view and usage of it..
Defining by the how instead of the what…
Electronics (How): They use electricity. Transportation (How): They transport objects and people.
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Metrics represent measures of specific
conditions in the organization
Just like the Human Body…
Process Metrics
Nervous System
Adaptability
Responsiveness
Mobility
Behavior
Transactions
Data Metrics
Activity
Static Metrics
Contrast
Events/Occurences
Body Temperature
Volume
Organ Health
Value Creation
Power
Culture
Network Metrics
Heart Beat/ EKG
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Classifications: The 4 Types of Metrics
Static MetricsThis classification provides a snapshot of the overall health, and available quantity of value to the organization.
Network MetricsNetwork metrics provide in-depth knowledge of the hidden, internal workings of the organization, as well as focus on identifying specific sections of the organization
Hybrid Metrics
Hybrids combine metrics with a pure classification to measure specific capability-related value. Most common metrics tend to be either static or hybrid.
Process MetricsProcess metrics provide details relating to internal mobility and responsiveness of the organization, as well as external versatility and adaptability.
Data MetricsData metrics relate closely to the concepts of big data, business intelligence, ERP, and predictive analytics. It is usually measured instantaneously, and provides insight into day-to-day operations.
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Metric Sub-structureEach classification can be further broken down into a sub-structure,
allowing us to understand their usage better than before…
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Components: Breaking the classes down…
QuantityTotals, counts
The quantity component is designed for understanding
aggregates.
TimeTime period
The time component measures relationships occurring on time
intervals.
FlowFlux, change
The flow component is a measure of changing dynamics.
Geography (Location)Position, location
The geography component is concerned with position and
location of events (not necessarily physical geography.)
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Static Metrics
When to use
Use static metrics when thevolume or overall quantity of anobject is necessary to measure.Statics have a large quantitycomponent that can be used toyour advantage when you seeka snapshot.
Quantity
Time
Flow
Geography
Component structure… How we break them down
Static metrics provide a quantitativesnapshot of some object, and thatsnapshot can be in time or an overallmeasurement.
The key to understanding static metric is tolook at the units of measurement of themetric. If they quantify an entity, then theyare static, even if they a little of the othercomponents.
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Process Metrics
When to use
Use process metrics when you’dlike to understand the flow ofan important object from onepart of the value supply chain toanother. Process metrics canalso be used to any quantitywhere time-value of money isparamount.
Quantity
Time
Flow
Geography
Component structure… How we break them down
Process metrics focus on measuring flowand time. And although by definition theyprovide insight to a particular process inthe organization (geography), and themeasure of the quantity that ‘flows’, theyare flow and time-value biased.
The key to understanding and identifyingprocess metrics is to ask the question,does this metric help me understand theflow relationship relative to some fixedpoint in my process.
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Network Metrics
When to use
Use network metrics when youwant to either understand theorganizational structure of theorganization, or when you’d likefocus in on a particularmember/employee in theorganization. Network metricare similar in nature to the ideaof a 360. The concept ofunderstanding the structure ofan entity through itsconnections.
Quantity
Time
Flow
Geography
Component structure… How we break them down
Network metrics are the least used form ofmetric today, mainly because datacollection and analysis can becumbersome, and strong knowledge ofnetwork theory is a fundamentalrequirement behind their usage.
The key to identifying and understandingnetwork metrics is to consider thequestion, how does the organization as awhole behave, and how are individualmembers behaving relative to othermembers they work/connect with.
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Data Metrics
When to use
Use data metrics when youneed to get a sense of the day-to-day operational activities ofthe organization. Because datametrics are based on existingelectronic data in theorganization and their ability toprovide instantaneous resultsand conclusions, they can beused readily for a wide array ofapplications.
Quantity
Time
Flow
Geography
Component structure… How we break them down
Data metrics capture the essence of all theclassification components depending onwhich metric is used at any given time. Butbecause they provide data-based analysisthrough automated and electronicmeasurements, they can provideconclusions that are prone to errorbecause of incorrect interpretation byhumans.
The key to understanding and identifyingdata metrics is in their instantaneousmeasurement nature and the high-techmethods of measurement they employ.
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Each classification has its strengths and weaknesses
Comparison: Classes & Components
While each metric category does possess components of every kind, some metric groups excel at
measuring specific phenomenon, while others are able to provide some general insights.
Static Metrics
Process Metrics
Network Metrics
Data Metrics
Quantity Time Flow Geography
Activity (2-3 minutes)Classify/Categorize these commonly used metrics:
Headcount, CPH, TTF, Employee Engagement (assume accuracy), Login Time
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Component Classification (Exercise)
QuantityMetric Time Flow Geography
Headcount
Cost Per Hire (CPH)
Time to Fill (TTF)
Engagement (assume accuracy)
Login Time
Most metrics used today tend to be a hybrid of a combination of metric components. We can simplify our classification process, by
always making some judgment on which one is the dominating component.
½
½
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Final Answer…
Head Count Cost Per Hire Time to Fill Engagement Login Time
This is purely a count
metric, so we can classify
it as a static metric
CPH is a quantity metric
that takes into
consideration time-value
of money.
TTF is a purely time
metric that describes the
efficiency of an internal
process.
Engagement is a product
metric of a process component
(productivity), and a quantity
metric (Satisfaction)
Login time does not
measure time from and to a
section of a process, but it is
an instantaneous metric.
Static Metric
Static Metric
Process Metric
Static Metric
Data Metric
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Metrics & PerspectiveExamples of metrics, and the way we currently view, use, and
understand them.
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Useful Static Metrics
Cost/Hire (CPH)
Diversity Group %
Interview Hire Ratio
Comp./Revenue
Referrals/Emplo
yee
Merit Increase/
Total Comp%
OA Ratio
Overtime/Standard Comp.
Candidate
Quality
Health Cost/Emp
loyee
Average Salary
Worker’s Comp.
Severity
Retention
Cost/Employee
Absent Days/Employee
Vacancy Cost
Average Employe
e Age
Headcount
Separation Rate
Resignation/
Headcount %
Management
Span of Control
Union Employee
s%
Churn over %
Career Path Ratio.
Training CPH
Training ROI
Bench Strength
Revenue/FTE
ROIProfit/FT
E
Income Factor
Cost of Labor
Static metrics are the most commonly known, used,
and adopted type of metrics by the corporate world.
This is because they are easy to understand, explain,
and usually give a snapshot view of a particular trend.
Almost every metric the majority of HR professionals
have ever used has been a static metric.
To identify a static simply intuit whether that metric is
concerned mainly with the quantity of a thing.
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Useful Process MetricsOutput Rate
Capacity Cushion
Input Rate
Capacity Cushion
Activity Slack
Process Efficiency
Normal Time
Aggregate Job
InventoryValue
Crash Time
Jon Inventory turnover
Cost to Crash
Processing Time
Employee
Productivity
Capacity Utilization
Time to Hire
Waiting Time
Time to Intervie
w
# of Waiting Entrants
Variable Cost of Process
Cycle Time
Process Efficienc
yIdle Time
Process Quality
Operating Expenses
Defect Rate %
TAKT Time
WIP Level %
Cost of Payroll/Revenue Multiple
Rework Rate
Process Capability
Internal Cost of Failure
Utilization
Process metrics borrow much from operations and
process engineering, including models such as
TQM, Six Sigma, and LEAN.
Most process metrics will be measured in time or
flow (for example efficiency is a metric driven by
flow).
If a metric has a heavy focus on measuring
movement, time, or cost of movement or time, then
it is likely a process metric.
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Useful Network Metrics
OutdegreeCentrality
IndegreeCentrality
Eigenvector Centrality
Inbetweenness Centrality
HomophilyEccentricity
Strength PageRank
DensityModularity
ClusteringK-Kore
Modularity
ErdosEmbeddedness
Path Length
Clustering Coefficient
Network metrics are the rarest to find in the HR
Dashboard, which contrasts their relevancy and
powerful impact on top and bottom line growth.
Network metrics can be used to identify a range of
challenges and their solutions, including measuring
inclusion, collaboration, change failure or success,
productivity, engagement, efficiency, communication,
and informal information networks.
Network metrics are concerned with the “where”.
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Useful Data Metrics
Email Distribut
ion
Login Time
Usage of
Software%
Sentiment
Message
Impressions
Social Shares
Geolocation
Activity Time
Benefit Utilizatio
n
Meeting Density
Purchase
Categories
Frequency
Flag Rate
Variability
Absent Days/Employee
Vacancy Cost
Data metrics are the most recent, exciting development in
data science and application. Data metrics utilize high
frequency calculations to identify trends which humans
may not have the capacity to identify through normal
business processes.
Data metrics focus on identifying a trend in a specific
moment in time, and in making fast predictions about
ongoing trends as they occur. They are frequently
concerned with challenges that have some information
technology component and that describe behavior.
Data metrics are about the here and now.
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Traditional linear view…
Recruiting Supply Chain
Sourcing Screening Interviewing Selection Finalization
D: # clicks to application
Ads Reach
Time to Screen
Average Response Rate
Applicant/Impression
# Qualified Applicants
% Qualified
Time to Intervie
w
Interview Quality
Hire Potential
Stage Flow Rate
Time to Selection
Stage Flow Rate
Primacy/Recency
Demographic Selection
Selection Rate
SI Success
TTF/TTH
Stage Flow Rate
QOH
Cost/Hire
OA%
Referral Location
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Where the data is… core capabilities
Organizational Life
Hiring Managing/Developing Collaborating Creating Value Delivering Service
Diversity
Process Cost
Value Networks
Homophily
Success Rate
Logon/Activity
Turnover
Time to Intervie
w
Engagement
% Network Brokers
Email Density
Succession
# Redundant Transactions
Reviews
Alignment
EmployeeResponsiveness
Employee Sales
Income Factor
ROI
Cost/Hire
Employee Profit
Hiring Speed
The Metrics Decision-making Process
Begin with a high level (strategic) view, focus on tactical level
analysis, and finalize with transactional metric design/adoption.
DACEMI
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Implement & Improve
Implement your metrics,
processes, designs, and
improve them.
Strategic View
Identify your goals,
relevant KPIs, and core
strengthsTactical Assessment
How will you implement
change, what will be our
focus for improvement,
model analysisMetrics Design
Use the DACEMI model
to design your metrics.
Without the model, this is the
best way to begin the
process.
Aggregate Process
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Strategic View: Effective Metric
Effective MetricsMetrics that help to improve the
state of the objective, while maximizing value to performance
indicators, utilizing core capabilities.
KPI(s)What are the indicators for successful company
performance..
Core CapabilitiesWhat is the organization
good at..
Objective(s)What specifically needs
improvement…
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What are our objectives?
What are the relevant key performance indicators?
What are we good at as company?
What will we do with the metrics?
How will we maintain our commitment to measuring?
How will we use the data to improve?
Do we have a plan to drive the change?
Do we know what success or failure looks like?
Strategic Level Questions
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Required Tools
Tactical Assessment
01 02 03 04
05 06 07 08
What? When? Where? How?
Change Plan ExecutionFocus of Improvement
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What will we do once these metrics are in place?
Who will be affected? (where)
How will we implement changes, if any?
What will need to be done (in much more detail)?
How will we model behavior, systems, changes?
Tactical Level Questions
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DACEMI
Borrowing from Six Sigma and LEAN Concepts
DACEMI
The DACEMI model was developed based on the DMAIC six sigma model of
improvement that is specifically targeted towards better decision making in
metrics usage and design. Borrowing from six Sigma and LEAN, it integrates proven
steps into a new model.
Define Analyze Categorize Experiment Measure Improve
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DACEMI
• Define your objectives, the challenges that need to be resolved, the tools/tech. that you have available, and the questions that must be answered as you begin to take on the challenge of measuring performance, and organizational life.
Define
• Analyze the factors and components that will affect metric design and that will tie in to the end measurement, based on business needs and requirements.Analyze
• Categorize those elements into metric categories in order to guide your metric choices, and development.Categorize
• Experiment with different metrics, measurements by developing custom measures or off the shelf metrics.Experiment
• Measure the intended values and track over a preliminary period to assess their performance.Measure
• Implement full metric adoption, and improve metrics utilization and development over time. Improve
Case Studies1- Recruiting & 2- Restructuring
Seeing the model, metric design process, and operational methods
in action
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Washington Metro: Recognizing Simple Metrics
• Turnover challenges
• Reporting structure challenges
• Tech. support challenges
• Administrative support challenges
• Fundamental challenges on how the business works
• No measurement or metrics beyond the basics
• No standard process
• No overarching coordination between stakeholders
• Lack of process ownership
• High-level involvement of non-relevant parties
• Process was stagnant
• Process was unfair
• HR support not interested in solving problems
• HR support not capable of solving problems
• HR support did what “we” told them to
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4.8%
7.1%
9.5%
9.5% 17.9%
21.4%
32.1%
71.4%
Job Segments
Project Manager Construction Inspection Facilitator Assistant PM
Office Engineer Construction Engineer Specialty
Construction Inspector
%𝐽𝑜𝑏𝑠
𝑆𝑒𝑔𝑚𝑒𝑛𝑡
Noticed through
exploratory analysis that so
many of the jobs open and
unfilled belonged to a few
“positions”.
Washington Metro: Recognizing Simple Metrics
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0%
2%
4%
6%
8%
10%
12%
14%
Positions Per Manager
%𝐽𝑜𝑏𝑠
𝑀𝑎𝑛𝑎𝑔𝑒𝑟
Found that there were 3
distinct groups of manager-
position hire groups, which
foretold of bottlenecks
occurring because of
manager-specific reasons
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0%
5%
10%
15%
20%
25%
30%
35%
[Position/Manager x HM Days Delay]
𝑀𝑎𝑛𝑎𝑔𝑒𝑟 𝐷𝑒𝑙𝑎𝑦 𝐹𝑎𝑐𝑡𝑜𝑟 =# 𝑜𝑓 𝑃𝑜𝑠𝑖𝑡𝑖𝑜𝑛𝑠
𝑀𝑎𝑛𝑎𝑔𝑒𝑟× 𝐻𝑀 𝐷𝑒𝑙𝑎𝑦 %
max# 𝑃𝑜𝑠𝑖𝑡𝑖𝑜𝑛𝑠≠0
(𝐷𝑒𝑙𝑎𝑦 𝐹𝑎𝑐𝑡𝑜𝑟) =
𝑇 # 𝑜𝑓 𝑃𝑜𝑠𝑖𝑡𝑖𝑜𝑛𝑠𝑇 # 𝑀𝑎𝑛𝑎𝑔𝑒𝑟
× 𝑇 𝐻𝑀 𝐷𝑒𝑙𝑎𝑦
𝑇𝑜𝑡𝑎𝑙 # 𝑜𝑓 𝑃𝑜𝑠𝑖𝑡𝑖𝑜𝑛𝑠
Washington Metro: Recognizing Simple Metrics
Delay Factor=2.18Delay Factor (top 5)=3.16
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Government & Defense Contractor: Restructuring
Sequestration cause many issues in the government services sector. In addition to the cancellation of critical government contracts, many were delayed, and the general outlook on growth in the sector was estimated to be much lower than what it once was. This, like in any other industry means restructuring, layoffs, and workforce reductions.
• Excellent process, metrics, staff, and strategy
• Little use of advanced metrics or measurements but solid use of standard metrics
• Business model restrictions.
• Planned to use standard restructuring methods
• Gained risk of restructuring and destroying collaborative behavior, and/or cutting crucial employees, and/or releasing employees unnecessarily.
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Government & Defense Contractor: Restructuring
𝐸𝑟𝑑𝑜𝑠 = 𝐷(𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑒(𝑛 → 𝑁) ← 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑒(𝑛 − 1 → 𝑁))
To understand where duplication of effort and resources exist, the
geography of the organization is important to understand. Erdosdescribes distance from a given employee of the company: for
example, the CEO
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Government & Defense Contractor: Restructuring
𝐼𝐵𝑇 =
𝑠≠𝑣≠𝑡
𝜎(𝑣)𝑠𝑡𝜎𝑠𝑡
In workforce reduction and streamlining efforts often times,
some subjective assessment is made on employee retention efforts based
on some arbitrary guideline. Network metrics like IBT allow you identify and
secure key leaders who may not be visible through the aforementioned.
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Government & Defense Contractor: Restructuring
𝑀𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡 𝑅𝑎𝑡𝑖𝑜 =# 𝑜𝑓 𝑀𝑎𝑛𝑎𝑔𝑒𝑟𝑠
# 𝑜𝑓 𝐸𝑚𝑝𝑙𝑜𝑦𝑒𝑒𝑠
Management ratio is a simple static metric that allowed us to understand the level of hierarchy and hiring trends in the organization. As it turns out this metric
was key to understanding what was happening and how to solve it.
0
2
4
6
8
10
12
14
16
0 2 4 6 8 10 12
MA
NA
GER
PER
EM
PLO
YEE
(S)
MANAGEMENT LEVEL (TOP=0; BOTTOM=10)
Management Ratio
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Government & Defense Contractor: Restructuring
Manager Hierarchy = 𝐸𝑟𝑑𝑜𝑠 ×𝑀𝑅
Creating a traceable hybrid metric that measures and explains each manager’s
hierarchy in the organization and includes his/her own level of internal hierarchical
buildup.
ActivityCase Study (5-10 minutes)
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-Dona Doni-
Chief Executive Officer
your new CEO enjoyed your conversation last time, but she wants more. After carefully looking at company financials and
speaking with other departments, Jane feels like we will not be prepared, from a leadership standpoint, to meet the
demands of a new expansion. She asks you to confirm or deny, to develop a system for measuring our leadership state, and
from that a plan to improve our leadership state.
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3 years?Missing bachelor’s?
Ready?
VP Sr. VP CHRO
Director Sr. Director VP Managing Director
Case Activity: Explaining Succession
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Improve
• Implement fullmetric adoption,and improvemetrics utilizationand developmentover time.
Measu
re
•Measure theintended valuesand track over apreliminary periodto assess theirperformance.
Experim
ent
•Experiment withdifferent metrics,measurements bydeveloping custommeasures or off theshelf metrics.
Categor
ize
•Categorize thoseelements intometric categories inorder to guide yourmetric choices, anddevelopment.
Analyze
•Analyze the factorsand componentsthat will affectmetric design andthat will tie in to theend measurement,based on businessneeds andrequirements.
Define
•Define yourobjectives, thechallenges thatneed to beresolved, thetools/tech. that youhave available, andthe questions thatmust be answeredas you begin totake on thechallenge ofmeasuringperformance, andorganizational life.
Case Activity: Use the Model
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