Our approach

If every organisation’s question is different, its programme should be too.

ID Academy’s corporate approach is not built on selling a standard training package to an organisation. The organisation’s problem is understood first.

Depending on the need, employee surveys, management interviews, focus groups, existing data, KPIs and internal indicators may be examined. A development programme specific to that organisation is then designed.

HR & Employee Experience

Employee Engagement and Belonging: The employee’s emotional and professional bond with the organisation, and what strengthens or weakens it.
Employee Experience: The journey from joining through adaptation, development, performance, career and engagement to departure.
Stress and Burnout Management: Addressed through workload, role ambiguity, control, support and burnout risk.
Work–Life Balance: The balance between time, workload, family life and psychological wellbeing.
Psychological Safety: The team conditions an employee needs in order to speak up, admit a mistake, ask a question and disagree.
Talent Management and Retention: Career expectations, development opportunities, engagement and intention to leave.

Leadership

Next-Generation Leadership
Leading with Emotional Intelligence
Leadership and Employee Motivation
Change Leadership
Leading Under Uncertainty
High-Performing Teams
A Feedback Culture
Leading with Data
Decision Making and Problem Solving

We approach leadership not simply as "being a good manager", but as a combination of people, data, communication, decisions and change.

Data and Decisions

The family with the strongest link to ID’s research side.

Data Literacy for Managers: Reading data correctly without being a statistician.
From Data to Decision: Turning reports, tables, charts and research findings into a management decision.
KPI and Indicator Design: Identifying the indicators that measure real performance.
Dashboard Literacy: Not seeing a dashboard, but interpreting it.
Managing Research Results: How research is used in decision processes.