Description:

Project Title: Leadership Coach & Mentor Chatbot for Emerging Leaders

Project Summary:
To support the development of future leaders within the organization, we designed and implemented an AI-powered Leadership Coach & Mentor Chatbot, which we named Adara. This intelligent digital assistant provides on-demand, personalized guidance to employees transitioning into leadership roles. The chatbot serves as both a performance support tool and a developmental mentor, helping users build confidence, learn core leadership competencies, and access curated resources aligned with their career growth goals.

Problem Statement:
The organization identified a critical gap in support for individual contributors aspiring to become people leaders. Traditional leadership programs were limited in scalability, accessibility, and personalization. There was a need for a solution that could provide scalable mentorship, bridge knowledge gaps, and guide aspiring leaders at their own pace.

Solution Overview:
The Leadership Coach & Mentor Chatbot was developed to address this gap by offering 24/7 coaching support through conversational AI. Key features included:

• Interactive Coaching Scenarios: Real-life leadership challenges and decision-making simulations.
• Just-in-Time Learning Resources: Curated microlearning content, videos, and job aids on leadership topics (e.g., feedback, delegation, emotional intelligence).
• Self-Reflection & Goal-Setting Prompts: Encouraging self-awareness and tracking growth over time.
• Mentorship Modeling: Simulated interactions with virtual mentors who share stories, frameworks, and best practices.

Impact:

• Increased engagement with leadership development content by 40% within the first quarter
• 85% of users reported greater confidence in preparing for leadership roles
• Reduced dependency on 1:1 mentoring hours, freeing up time for senior leaders
• Enhanced visibility into leadership readiness across departments

Role & Responsibilities:

Piloted the chatbot with a cohort of high-potential employees and iterated based on feedback

Conducted needs analysis with HR and L&D teams

Future:

Integration to Articulate Storyline to use in a microlearning accessible on demand.

Personalized Learning Paths: Tailored suggestions based on user inputs, role aspirations, and skill gaps.

My Role:

Instructional Designer and Developer

Tools Used:

Articulate Storyline (Pending), Zapier, ChatGPT