Data–Driven DEI

The Tools and Metrics You Need to Measure, Analyze, and Improve Diversity, Equity, and Inclusion

Gebonden Engels 2023 1e druk 9781119856870
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A practical blueprint for successful, measurable, and impactful DEI initiatives

In Data-Driven DEI: The Tools and Metrics You Need to Measure, Analyze, and Improve Diversity, Equity, & Inclusion, Dr. Randal Pinkett, a renowned diversity, equity, and inclusion (DEI) thought leader delivers a practical and evidence-based blueprint to achieving lasting impact with your DEI initiatives. Dr. Pinkett has created a simple, step-by-step process to assess the current state of your DEI, analyze that data to create a personal and organizational action plan, and implement data-driven, science-based, and technology-enabled interventions for greater diversity, equity, and inclusion.

The book provides:
- Tools and instruments to assess your personal preferences and competencies as well as your organizational culture, climate, policies, and practices
- Strategies and proven practices to mitigate bias, improve decision-making, foster innovation, and expand thinking preferences, cultural competence, inclusive leadership, allyship and more
- A library of measures, metrics, and key performance indicators (KPIs) to gauge progress, evaluate results and demonstrate impact

An indispensable resource for individual contributors, managers, executives, founders, entrepreneurs, and other business leaders, Data-Driven DEI deserves a place on the bookshelf of any professional seeking to have a real-world impact that delivers personal and organizational results.

Specificaties

ISBN13:9781119856870
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:320
Druk:1
Verschijningsdatum:16-3-2023

Lezersrecensies

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Inhoudsopgave

ACKNOWLEDGMENTS xi
INTRODUCTION xiii

0 STEP 0: DEI Incentives--Self-Reflect and Introspect 1
Dimensions of Personal Transformation 2
What Are Your Personal DEI Incentives? 5
Crafting a Personal DEI Mission and Vision 7
Establishing Personal DEI Aims 8
Dimensions of Organizational Transformation 9
Dimensions of Personal and Organizational Transformation 12
What Are Your Organizational DEI Incentives? 14
Crafting an Organizational DEI Mission and Vision 15
Establishing Organizational DEI Aims 18
DEI Aims vs. DEI Objectives 18
Comprehensive Personal and Organizational DEI Assessment Framework 20
Entering the Five-Step Cycle of Data-Driven DEI 22

1 STEP 1: DEI Inventory for People--Seek Understanding 23
Personal DEI Assessment Framework 24
Understanding Preferences and Competences 25
Preferences 25
Competences 26
Preferences vs. Competences 27
Conducting a Personal DEI Assessment 27
Assessing Your Preferences 28
Assessing Your Competences 43
Assessing Your Preferences and Competences 52
A List of Personal DEI Assessment Tools 53
Choosing the Right Personal DEI Assessment Tool for You 64
Mitigating Data Bias--Part 1 70
Researcher Bias 71
Confirmation and Attribution Bias 72

1 STEP 1: DEI Inventory for Organizations--Seek Understanding 73
Organizational DEI Assessment Framework 74
Conducting an Organizational DEI Assessment 75
Phase 0: Inventory Preferences and Competences 79
Phase I: Administer DEI Culture and Climate Survey (Quantitative Data Collection) 80
A List of Organizational DEI Assessment Tools 84
Phase II-A: Perform DEI Human Resources (HR) Policies and Practices Assessment 96
Phase II-B: Perform DEI Benchmarking or Ranking 98
Phase III: Analyze DEI Quantitative Data 102
Phase IV: Conduct DEI Interviews and Focus Groups (Qualitative Data Collection) 106
Phase V: Analyze DEI Qualitative Data 121
Phase VI: Analyze DEI Mixed-Methods Integrated Data 124
Phase VII: Deliver DEI Assessment Report 129
Mitigating Data Bias--Part 2 131
Selection Bias 131

2 STEP 2: DEI Imperatives--Determine Priorities 133
DEI Objectives and Goals 134
Establishing DEI Objectives 136
Setting DEI Goals 141

3 STEP 3: DEI Insights--Identify "What Works" 159
What Are "What Works" Models? 160
"What Works" Models for People 161
"What Works" Models for Organizations 164

4 STEP 4: DEI Initiatives--Take Action 167
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