Training course

Overview

Qualitative Data Analysis for Managers is a professional management-focused training course designed to equip managers, department heads, programme leaders, executives, and decision-makers with the practical knowledge required to understand, evaluate, interpret, and use qualitative evidence in organisational and strategic decision-making. The course focuses on how managers can extract reliable insights from interviews, focus groups, employee feedback, customer experiences, stakeholder consultations, observations, open-ended surveys, and organisational documents. It enables managers to engage confidently with qualitative research without requiring specialist research or statistical expertise.

The programme develops managerial understanding of the complete qualitative research and analysis workflow, beginning with defining management problems, research questions, objectives, analytical frameworks, sampling approaches, and appropriate qualitative data sources. Participants learn how to assess the quality and relevance of qualitative evidence, understand coding and thematic analysis, review research instruments and analytical frameworks, and recognise weaknesses arising from limited samples, poor documentation, selective evidence, researcher influence, or unsupported interpretations. Practical tools such as NVivo, ATLAS.ti, MAXQDA, Dedoose, Excel, Microsoft Word, and structured manual analysis approaches are introduced from a management-review perspective.

Participants progressively develop the ability to interpret themes, patterns, relationships, differences, contradictions, stakeholder perspectives, and contextual explanations that can inform management decisions. The course applies qualitative analysis to realistic managerial situations involving employee engagement, customer satisfaction, service quality, organisational culture, operational performance, programme implementation, stakeholder relationships, market research, change management, and organisational development. Case studies and practical exercises help managers distinguish descriptive evidence from interpretation, assess whether findings are adequately supported, and connect qualitative insights to management questions and organisational priorities.

The advanced component focuses on qualitative research quality, triangulation, reflexivity, validation, analytical governance, mixed-methods evidence, and professional reporting. Managers learn how to review qualitative research proposals, analytical outputs, reports, dashboards, and presentations; challenge evidence constructively; assess limitations and potential bias; and communicate qualitative findings to management teams and stakeholders. Through practical case studies, evidence-review exercises, software demonstrations, and an integrated capstone, the programme enables managers to make more informed use of qualitative evidence while strengthening research oversight, decision support, accountability, and organisational learning.

Course Duration

5 Days (40 Hours)

Target Participants

This course is suitable for:

• Managers, department heads, and senior management professionals

• Programme, project, and operations managers

• Strategy, planning, and organisational development managers

• Human resources and people management leaders

• Marketing, customer experience, and market research managers

• Operations, service delivery, and quality management professionals

• Monitoring, Evaluation, Research, and Learning (MERL) and Monitoring and Evaluation (M&E) managers

• Policy, development, and programme management professionals

• Business intelligence, performance management, and organisational learning professionals

• Managers responsible for commissioning or reviewing qualitative research

• Consultants and advisory professionals supporting management decision-making

• Research managers and professionals supervising qualitative studies

• Managers working with employee feedback, customer insights, stakeholder consultations, and organisational research

• Professionals seeking practical skills for interpreting qualitative evidence and research reports

Course Objectives

By the end of the training, participants will be able to:

• Understand the strategic and operational role of qualitative data analysis in management decision-making

• Translate management challenges into qualitative research questions, objectives, analytical priorities, and evidence requirements

• Evaluate qualitative research designs, sampling approaches, data sources, and analytical frameworks

• Assess the quality, relevance, credibility, and limitations of qualitative evidence

• Understand interviews, focus groups, observations, open-ended surveys, documents, and stakeholder feedback as qualitative data sources

• Review and understand qualitative coding, categorisation, thematic analysis, and evidence development

• Interpret themes, patterns, relationships, contradictions, stakeholder perspectives, and contextual explanations

• Apply thematic, framework, content, case study, narrative, and comparative approaches from a managerial perspective

• Review qualitative research outputs using NVivo, ATLAS.ti, MAXQDA, Dedoose, Excel, Word, and structured analytical approaches

• Distinguish description, interpretation, evidence, assumptions, and unsupported conclusions in qualitative reports

• Assess credibility, dependability, confirmability, and transferability of qualitative findings

• Apply triangulation, member checking, peer review, negative-case analysis, reflexivity, and other validation approaches

• Identify potential bias, selective interpretation, weak evidence, over-generalisation, and methodological limitations

• Integrate qualitative findings with quantitative evidence to support management and organisational decisions

• Review qualitative dashboards, evidence matrices, thematic summaries, research reports, and management presentations

• Apply ethical principles relating to confidentiality, privacy, anonymisation, sensitive information, and responsible data use

• Establish appropriate managerial oversight, research governance, documentation, and quality assurance practices

• Communicate qualitative insights clearly to management teams, employees, boards, clients, and other stakeholders

• Translate qualitative evidence into practical management implications while maintaining appropriate research limitations

• Complete an integrated management-focused qualitative analysis and evidence-review capstone

Course Content

Day 1: Managerial Foundations of Qualitative Data Analysis, Research Design, and Evidence Quality

Module 1: Managerial Qualitative Research Foundations and Evidence Management

1.      Role of Qualitative Data Analysis in Management, Organisational Learning, Customer Insight, Programme Evaluation, and Decision-Making

2.      Translating Management Challenges into Qualitative Research Problems, Objectives, Questions, and Evidence Requirements

3.      Qualitative Research Designs for Management: Case Study, Phenomenology, Ethnography, Narrative, Grounded Theory, and Participatory Approaches

4.      Qualitative Sampling Strategies, Participant Selection, Purposive Sampling, Maximum Variation, Criterion Sampling, and Saturation Concepts

5.      Qualitative Data Sources for Managers: Interviews, Focus Groups, Observations, Employee Feedback, Customer Feedback, Documents, and Open-Ended Surveys

6.      Research Instrument Quality, Interview Guides, Focus Group Protocols, Observation Frameworks, and Alignment With Management Objectives

7.      Data Preparation, Transcription, Translation, Anonymisation, Data Organisation, and Context Preservation

8.      Qualitative Data Management, Documentation, Metadata, File Structures, Version Control, and Management Research Governance

9.      Practical Qualitative Analysis Tools: NVivo, ATLAS.ti, MAXQDA, Dedoose, Excel, Word, and Structured Manual Review

10.  Case Study and Management Exercise: Reviewing a Qualitative Research Design and Assessing the Quality and Relevance of Evidence for a Management Decision

Day 2: Coding, Thematic Analysis, and Managerial Interpretation

Module 2: Managerial Coding, Theme Development, and Evidence Interpretation

1.      Understanding Qualitative Coding: Data Segments, Meaning Units, Codes, Categories, Themes, and Analytical Decisions

2.      Descriptive, Open, In Vivo, Focused, Pattern, and Process Coding for Organisational and Management Research

3.      Developing Codebooks, Coding Definitions, Inclusion and Exclusion Criteria, Coding Rules, and Analytical Consistency

4.      Inductive, Deductive, and Hybrid Coding Approaches for Management and Organisational Research

5.      Thematic Analysis: Identifying, Reviewing, Defining, and Interpreting Themes Relevant to Management Questions

6.      Analysing Patterns, Relationships, Differences, Contradictions, Stakeholder Perspectives, and Contextual Factors

7.      Analytical Memo Writing, Evidence Tracking, Management Questions, Researcher Notes, and Interpretation Documentation

8.      Software-Supported Coding, Data Retrieval, Queries, Coding Comparison, Case Classification, and Evidence Organisation

9.      Distinguishing Description From Interpretation, Evidence From Assumption, and Research Findings From Management Opinion

10.  Case Study and Exercise: Reviewing Coded Employee, Customer, Stakeholder, or Programme Data and Developing a Management-Oriented Thematic Framework

Day 3: Applied Qualitative Analysis, Comparative Evidence, and Management Insight

Module 3: Managerial Interpretation, Comparative Analysis, and Organisational Insight

1.      Framework Analysis for Management Reviews, Programme Evaluation, Policy Implementation, Service Delivery, and Organisational Studies

2.      Qualitative Content Analysis: Categories, Manifest and Latent Content, Patterns, Context, and Management Interpretation

3.      Case Study Analysis: Within-Case Analysis, Cross-Case Comparison, Contextual Factors, and Management Explanations

4.      Comparative Qualitative Analysis Across Departments, Branches, Locations, Employee Groups, Customer Segments, or Programmes

5.      Narrative Analysis for Understanding Employee Experiences, Customer Journeys, Organisational Change, and Stakeholder Perspectives

6.      Matrix Analysis, Evidence Tables, Thematic Networks, Conceptual Maps, Relationship Mapping, and Management Evidence Displays

7.      Identifying Negative Cases, Contradictions, Deviant Evidence, Alternative Explanations, and Management-Relevant Exceptions

8.      Moving From Themes to Management Insight: Drivers, Barriers, Experiences, Risks, Opportunities, and Contextual Explanations

9.      Evaluating Qualitative Claims, Evidence Strength, Context, Limitations, Generalisation, and Appropriate Management Interpretation

10.  Case Study and Exercise: Analysing Employee, Customer, Operational, or Stakeholder Evidence to Identify Management Patterns, Drivers, Risks, and Opportunities

Day 4: Advanced Managerial Qualitative Rigour, Validation, and Mixed-Methods Evidence

Module 4: Qualitative Quality Assurance, Evidence Validation, and Management Review

1.      Trustworthiness of Qualitative Evidence: Credibility, Dependability, Confirmability, Transferability, and Management Confidence

2.      Triangulation Across Interviews, Focus Groups, Documents, Observations, Surveys, Stakeholders, and Other Evidence Sources

3.      Researcher Reflexivity, Positionality, Assumptions, Interpretation, and Recognising Potential Analytical Influence

4.      Intercoder Processes, Collaborative Review, Coding Comparison, Disagreement Resolution, and Analytical Consistency

5.      Member Checking, Participant Validation, Peer Review, Expert Review, Stakeholder Validation, and Evidence Challenge

6.      Analytical Audit Trails, Decision Logs, Research Documentation, Version Control, and Management Research Oversight

7.      Identifying Bias, Selective Evidence, Confirmation Effects, Over-Generalisation, Unsupported Claims, and Methodological Weaknesses

8.      Integrating Qualitative and Quantitative Evidence for Management Dashboards, Performance Reviews, Programme Evaluation, and Strategic Decisions

9.      Qualitative Visualisation: Thematic Matrices, Concept Maps, Process Maps, Stakeholder Maps, Evidence Displays, and Management Dashboards

10.  Case Study and Exercise: Conducting a Management-Level Quality Review of Qualitative Findings Using Triangulation, Validation, Negative Cases, and Mixed-Methods Evidence

Day 5: Managerial Reporting, Governance, Decision Support, and Capstone

Module 5: Professional Qualitative Evidence Management and Applied Capstone

1.      From Qualitative Themes to Management Findings, Organisational Insights, Conclusions, and Practical Implications

2.      Reviewing Participant Quotations, Evidence Excerpts, Context, Thematic Support, and the Strength of Management Claims

3.      Evaluating Qualitative Research Methodology, Analytical Procedures, Findings, Discussion, Conclusions, and Recommendations

4.      Developing Management Briefs, Executive Summaries, Research Reports, Evidence Dashboards, Presentations, and Stakeholder Communications

5.      Qualitative Research Ethics, Confidentiality, Anonymisation, Sensitive Information, Privacy, and Responsible Management Use of Evidence

6.      Research Governance, Data Security, Access Controls, Secure Storage, Data Retention, Responsible Sharing, and Accountability

7.      Reproducible Qualitative Research Workflows Using Codebooks, Memos, Audit Trails, Structured Files, Software Projects, and Documentation

8.      Integrated Case Study: Reviewing an End-to-End Qualitative Research Project From Research Design and Data Quality Through Analysis, Validation, and Management Reporting

9.      Managerial Exercise: Auditing a Qualitative Report for Evidence Quality, Analytical Rigour, Bias, Limitations, Transparency, and Decision Relevance

10.  Management Capstone Exercise: Evaluating a Qualitative Research Problem, Reviewing the Analytical Framework and Evidence, Interpreting Themes, Validating Findings, Identifying Management Implications, and Presenting a Professional Management Evidence Brief