The  Thinking Behind The Training

•  My process began with a clear focus on the business goal—to enable leadership professionals to make informed decisions backed by data rather than instinct. I conducted an instructional analysis to break down this goal into targeted learning objectives, ensuring each step aligned with real workplace needs.

• Next, I dove into understanding the learners—their roles, prior experience with data tools, past training programs, and the impact of those initiatives. This learner analysis helped me shape relevant and realistic content that would resonate with their daily challenges.

• Based on these insights, I developed a design strategy tailored to a web-based training (WBT) format. The module includes real-world scenario-based assessments that allow learners to apply their knowledge in context—bridging the gap between theory and action.

• Throughout the project, I followed the ADDIE model, incorporating principles of experiential learning and adult learning theory to ensure the training was practical, engaging, and impactful.

Instructional Design Strategy

To ensure the learning solution aligned with business goals and real learner needs, I followed a strategy grounded in Action Mapping—identifying the core performance issue and mapping out only the actions that supported measurable outcomes.

My process included:

• Learner & Context Analysis
  Conducted deep dives into the learners’ roles, existing knowledge, and workplace challenges to ground the learning in relevance and reality.

• Storyboarding & Moodboards
  Created detailed storyboards and moodboards to visualize the tone, interactivity level, and narrative voice of the module—ensuring alignment with the brand and learner expectations.

• Mockups & Design Blueprints
  Developed clickable mockups and interaction models to preview the learner experience and gather early stakeholder feedback before development began.

• Decision-Based Design Strategy
  Leveraged scenario-based learning, realistic data tasks, and branching logic to mirror high-stakes, real-time business situations.

• Feedback & Iteration Loops
  Each design phase included feedback from SMEs, L&D stakeholders, and pilot learners—ensuring instructional integrity and contextual relevance.

Learning Objectives

The objectives were designed using Bloom’s Taxonomy to ensure progressive cognitive engagement—from understanding to application and evaluation.

• Differentiate between data-driven decision making and intuition-based approaches in business scenarios.
  
  

• Identify key types of data (quantitative, qualitative, real-time) relevant to strategic decision-making.
  
  

• Analyze sales performance metrics to make informed and effective business decisions.
  
  

• Apply a structured approach to decision making using real-world case studies and data sets.
  
  

• Evaluate the impact of data-driven strategies on business outcomes through interactive simulations.

Tech Stack & Tools

I carefully selected and worked hands-on with the following tools to bring the learning experience to life—from concept to deployment:

• Articulate Storyline 360 – For rapid e-Learning prototyping with rich interactivity

• xAPI/SCORM – Enabled granular tracking and analytics in the enterprise LMS

• Audacity & Canva – For professional narration, sound design, and UI/UX enhancement

• LMS Deployment – Integrated with TalentLMS; designed for scalability and mobile access

Strategic Value

This module is now part of the organization's core leadership development pathway and supports multiple L&D OKRs:

• Enabling data-driven culture

• Driving operational efficiency

• Strengthening leadership pipeline readiness