This training program is open to anyone interested in expanding their professional skills. The practical examples and exercises are chosen so they map well to the daily work of Sales Managers; participation is expressly open to everyone, regardless of current professional role. The course teaches methods, tools, and content that can be applied in many different work contexts.
The following typical tasks from the daily work of Sales Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Pipeline forecasts
- Pitch decks
- Closing calls
- Win-loss analyses
- Territory plans
Content
The curriculum covers the fundamental principles and theory behind OKRs, including the rationale and mindset for leadership in dynamic environments. It details the OKR cycle, the construction of a strategic clarity pyramid, and the importance of fostering a supportive culture and psychological safety. Participants will learn to craft qualitative Objectives and engineer Key Results using metrics that measure impact. Implementation models, alignment strategies across the organization, and the transition from strategy to actionable initiatives and roadmaps are explored. The course also addresses the practical aspects of living OKRs through regular check-ins, the role of CFRs (Conversations, Feedback, Recognition) and coaching in focusing on people, and institutionalizing learning through reviews and retrospectives. Finally, it covers mastering and rolling out OKRs to drive transformation.
Learning Objectives- Understand the rationale and mindset for OKR implementation.
- Grasp the fundamentals and theory of the OKR framework.
- Navigate the complete OKR cycle.
- Build strategic clarity and a strategy pyramid.
- Foster a culture conducive to OKR success.
- Effectively set Objectives and Key Results.
- Craft compelling qualitative Objectives.
- Implement OKRs within an organization.
- Engineer measurable Key Results.
- Achieve organizational alignment through OKRs.
- Translate strategy into actionable initiatives and roadmaps.
- Conduct practical check-ins and reviews.
- Utilize CFRs and coaching for individual development.
- Institutionalize learning through retrospectives.
- Design and manage OKR transformation processes.
Course 2: Marketing: Campaign Creation with AI
Content
The program begins with an introduction to campaign creation, bridging strategy and execution. It covers defining campaign objectives and types, identifying target audiences, and crafting compelling value propositions. Participants will learn to develop messages and creative hooks that generate interest and impact. The course explores channel selection and touchpoint optimization, as well as mapping the customer journey and campaign flow. Creation of campaign assets and advertising materials is addressed, alongside the practical setup of campaigns from concept to execution. Automation and process optimization for smarter planning and reduced repetition are discussed. Performance analysis and learning from campaign results are key components, as is effective reporting and presentation of outcomes. The course concludes with an outlook on future campaigns, emphasizing scaling and automation with AI.
Learning Objectives- Understand the process of campaign creation from strategy to execution.
- Define clear campaign objectives and select appropriate campaign types.
- Identify target audiences and craft effective value propositions.
- Develop impactful messages and creative hooks.
- Select and optimize marketing channels and touchpoints.
- Map customer journeys and campaign workflows.
- Create necessary campaign assets and advertising materials.
- Execute campaign setups effectively.
- Leverage automation and process optimization.
- Analyze campaign performance and derive learnings.
- Report and present campaign results clearly.
- Explore AI-driven strategies for scaling and automating campaigns.
Career Prospects
The skills acquired in this program are applicable in various professional roles. In the OKR course, areas such as strategic planning, performance management, and organizational development are relevant. In the AI Marketing course, applications include marketing management, digital marketing, campaign management, and marketing analytics. The combined competencies prepare individuals for roles requiring strategic goal achievement and data-driven, AI-enhanced marketing execution.