Portfolio

Overview

Role: Lead Learning Experience Designer (LXD) & Instructional Designer (ID)

Domain: Leadership Development & Corporate Communication

Format: Scenario-based digital learning (Articulate Rise 360 + Storyline 360)

Challenge

New managers are frequently expected to deliver difficult performance feedback without formal training or practice. As a result, many avoid these conversations altogether, rely on vague language, focus on personality over observable behaviour, or over-soften their message—leaving employees unclear about expectations.

The objective was to design a practical, high-impact learning experience that moves managers beyond theoretical feedback models into confident, real-world application.

Audience

Multilingual professionals transitioning into their first management or cross-functional leadership roles, particularly within international, cross-cultural, and matrixed work environments.

Objectives

By completing this experience, leaders are able to:

• Prepare: Plan feedback conversations using a clear, practical framework

• Deliver: Communicate clear, actionable, and constructive feedback grounded in observable behaviour and measurable impact.

• Adapt: Navigate employee resistance, emotion, or pushback while keeping the conversation focused and productive.

• Apply: Exercise sound judgement across nuanced, real-world communication scenarios.

Strategic Approach

Designed around practice, application, and real-time coaching rather than passive information delivery, the experience puts learners directly in the role of a manager navigating authentic workplace dynamics.

Core Framework:  The experience introduces the SBI-NS framework (Situation, Behaviour, Impact, Next Step), adapted from CCL’s SBI model. Then, it gives learners opportunities to apply it, receive targeted coaching, and try again.

Iterative Learning Loop:    Learn → Prepare → Practice → Receive coaching → Reflect → Re-apply

Context & Culture:  Rather than enforcing a rigid "one-size-fits-all" style, scenarios prompt leaders to balance clarity, empathy, and team dynamics.

Methodology & Workflow

Applied an ADDIE foundation for performance gap analysis and outcome mapping, paired with SAM-style rapid prototyping to iteratively refine branching dialogue and coaching feedback in Storyline.

Design & Technical Implementation

Developed in Articulate Rise and Storyline, the experience uses branching logic and dialogue-driven decision points to simulate realistic manager-employee conversations.

Key Interactive Elements:

• Scenario Branching: Selecting opening strategies for high-stakes performance conversations.

• Tension Management: Deciding how directly to address performance gaps while maintaining rapport.

• Adaptive Dialogue: Responding dynamically to employee resistance, explanations, or defensive reactions.

• Targeted Coaching Loops: Receiving immediate, context-specific feedback based on choices made.

• Integrated Capstone: Synthesizing skills in a multi-turn final conversation scenario.

• Live Meters: Clarity and Rapport scores update with each choice and decide the ending.

• Personalised Debrief: The takeaway recalls the learner’s first instinct and their written reflection.

Scaffolded Practice: Learners move from structured to independent practice. They first explore the SBI-NS framework, then build a feedback message from guided choices and check their understanding with short scenario questions. Next comes a coached conversation with Alex, with feedback and a retry. The experience ends with a capstone conversation with Lena, where retries are limited and learners apply the framework with less support.

Performance Support: A downloadable job aid, the Practical Feedback Conversation Guide, gives managers the SBI-NS steps and example phrasing to use when preparing real feedback conversations, so learning continues on the job.

Visual & UX Design: Built with a clean, modern aesthetic featuring strong visual hierarchy, concise dialogue, and low-cognitive-load layouts optimized for digital delivery.

Assessment & Measurement

Assessment is built into scenario-based decisions rather than recall quizzes:

• Identifying effective vs. ineffective feedback statements in context.

• Selecting appropriate conversational responses under realistic pressure.

• Re-framing subjective opinions into objective, behaviour-based statements.

• Successfully establishing agreed-upon next steps and accountability.

Reflection & Next Steps

Key Success Factor: The emphasis on consequence-driven learning. Allowing managers to experience the immediate outcome of their communication choices in a safe environment builds genuine workplace confidence.

Design Refinement: Balancing a structured feedback framework with the flexibility required for diverse cultural communication styles remains an iterative priority.

Future Expansion: Serving as a foundational module for a broader executive communication and cross-cultural leadership series within Elevate English Studio.

Overview

• Role: Lead LXD & AI Solutions Developer (Needs Analysis, AI Prompt Architecture, Interaction Design, Prototyping & Development)

• Domain: Executive Communication, Soft Skills & Professional Networking

• Format: AI-Powered Conversational Simulation & Real-Time Coaching Engine

• Tech Stack: Claude Code, Custom System Prompts, Self-Hosted Web Application

Challenge

Many working professionals understand professional communication concepts in theory, but struggle with the real-time judgment required to navigate informal workplace conversations—such as small talk, networking, and relationship-building.

Because performance friction stems from uncertainty around context, tone, and social boundary management, traditional "content-heavy" instructional modules fail. Learners do not lack knowledge about communication; they lack low-risk, context-rich spaces to practice decision-making and observe immediate consequences.

Audience

Working professionals and rising leaders who want to build confidence and conversational agility across workplace networking, client interactions, and cross-functional team environments.

Objectives

By engaging with this simulation engine, learners are able to:

• Contextualize: Tailor communication style, tone, and depth of sharing to specific professional relationships and organizational settings.

• Respond: Generate real-time conversational turns that build rapport without over-sharing or appearing rigid.

• Identify Missed Opportunities: Recognize subtle openings in conversation to advance professional relationships.

• Apply Feedback: Adapt and refine communication choices dynamically based on immediate formative coaching.

Strategic Approach & AI Architecture

To eliminate passive multiple-choice testing, I architected a practice-first, generative practice model using an iterative hybrid of ADDIE analysis and SAM rapid prototyping.

Content selection  →  conversational turn  →  generative practice  →  AI formative coaching

1. Context as an Instructional Variable: Before starting, learners set two core variables:

• Professional Relationship (e.g., Peer, Senior Executive, Client, New Contact)

• Setting (e.g., Pre-meeting waiting room, Industry conference, Virtual coffee)

2. Open-Ended Response Generation: Instead of selecting pre-written choices, learners construct original text responses, creating authentic cognitive friction.

3. Multi-Dimensional Coaching Engine: The AI coach evaluates the input against context-specific criteria, providing feedback on:

• Contextual Fit: Tone appropriateness, relationship dynamics, and level of formality.

• Missed Opportunities: Conversational hooks the learner failed to leverage.

• Alternative Approaches: Concrete examples of how to pivot or deepen rapport.

Technical Prototyping & Development

• Rapid Prototyping: Iteratively refined system prompts, system instructions, and feedback loops to ensure the AI maintained consistent pedagogical evaluation without "hallucinating" or being overly forgiving.

• Custom Development: Developed and deployed the functional application using Claude Code and self-hosted infrastructure, validating both the learning design and technical feasibility.

Assessment & Measurement

Assessment is embedded directly into the practice loop:

• Real-Time Formative Feedback: Evaluates appropriateness, effectiveness, relationship dynamics, and rapport-building potential after each turn.

• Performance-Based Mastery: Success is defined by conversational adaptability and self-correction rather than quiz scores.

Reflection & Future Iterations

• Key Design Victory: Elevating context to the primary variable transformed generic "small talk rules" into nuanced, real-world skill building. The "missed opportunity" feedback loop proved exceptionally valuable for helping learners move from passive etiquette to active rapport building.

• Future Roadmap:

  • Integrating longitudinal performance dashboards and multi-conversation rubrics.

  • Adding progressive difficulty levels (e.g., handling awkward silences, subtle pushback, or high-stakes executive networking).

Overview

• Role: Instructional Designer & Developer (Content Design, Scriptwriting, Visual Design, AI Video Production)

• Domain: Cyber-Security Awareness & Compliance Training

• Format: 75-second AI-presented microlearning video

• Tech Stack: Articulate Storyline 360 (AI Avatars, AI Voice, Video Publishing), Custom Slide Visuals (designed with Claude Code), CapCut (Captions), YouTube

• Watch: https://youtu.be/BbGvei3YIWA

Challenge

Phishing is one of the most common ways attackers get into organisations, and a single click can put a whole company at risk. Yet most security awareness training is long, text-heavy and easy to forget. Employees sit through annual compliance modules, but in the moment they still struggle to tell a real email from a convincing fake.

Employees need a short, memorable way to spot the warning signs at the exact moment they matter: before they click.Employees at all levels in a mid-sized organisation, including non-technical staff, who handle email every day and need to recognise suspicious messages quickly.Employees at all levels in a mid-sized organisation, including non-technical staff, who handle email every day and need to recognise suspicious messages quickly.

Audience

Employees at all levels in a mid-sized organisation, including non-technical staff, who handle email every day and need to recognise suspicious messages quickly.

Objectives

After watching the video, learners are able to:

• Inspect: Check a sender's address for subtle tricks, such as swapped letters and numbers.

• Recognise: Identify pressure tactics, such as urgent deadlines and generic greetings.

• Verify: Hover over a link to reveal its real destination before clicking.

• Act: Follow a simple Stop, Look, Report routine when an email seems suspicious.

Strategic Approach & AI Architecture

I designed a single, focused video around one realistic example rather than a list of abstract rules.

Realistic scenario  →  one red flag at a time  →  memorable rule  →  clear action

1. One Example, Three Red Flags: Learners study one realistic phishing email throughout, and each slide highlights a single red flag. This keeps cognitive load low and makes the skill easy to transfer to real emails.

2. Signalling and Visual Cues: Red outlines, a hover tooltip, and a cursor draw the eye to exactly what the presenter is describing, so narration and visuals reinforce each other.

3. Human Presence with AI: An AI avatar presenter adds a friendly, human voice to a topic that often feels dry. This shows how AI can speed up video production without filming or voice actors.

4. Memorable Close: The video ends with a three-word routine (Stop, Look, Report) that learners can recall at their inbox.

5. Microlearning Length: At about 75 seconds, the video fits into a busy workday and works as a quick refresher, an onboarding clip or a link in a security newsletter.

Technical Prototyping & Development

• Scriptwriting:  I wrote a tight, conversational script for each slide, written for the ear and checked before generation to save AI credits.

• Visual Design: I created a consistent set of branded slides with a fictional company email, highlighted red flags, and a dedicated presenter area.

• AI Avatar Production: I generated the presenter and voice with Articulate Storyline's AI Avatar feature, keeping the same character and voice across every slide for continuity.

• Accessibility: I added captions in CapCut so the video works without sound and supports viewers who are deaf or hard of hearing.

• Publishing: I exported the video as an MP4 and hosted it on YouTube, so it can be embedded anywhere or shared on LinkedIn without an LMS.

Assessment & Measurement

As a short awareness video, this piece focuses on recognition and recall:

• Built-In Retrieval Cue: The Stop, Look, Report routine gives learners a simple checklist to apply on the job.

• Suggested Follow-Up: The video is designed to pair with a short knowledge check or a simulated phishing email, which would measure whether learners can spot the red flags on their own.

Reflection & Future Iterations

• Key Design Insight: Anchoring the whole video in one realistic email made the content concrete. Learners see the red flags in context instead of memorising a list.

• Lesson Learned: AI avatars speed up production, but they bring their own constraints, such as a fixed 16:9 video frame and limited generation credits. Designing the slide layout around the avatar format from the start, and finalising scripts before generating, saved time and rework.

• Future Roadmap:

•    Add an interactive "spot the red flag" activity where learners click on the suspicious parts of a new email.

•    Create a short series covering related threats, such as fake invoices, text-message scams, and QR-code phishing.

•    Produce localised versions in other languages using AI voice.