AI Coaching
Platform

ROLE‍Product Designer/ researcher
TEAM‍Product Manager, Product analyst, Front End Engineer
DURATION 6 Months
Status V1

BACKGROUND

MPATH aims to revolutionize life coaching by making it accessible, affordable, and personalized through AI, addressing the gap in tailored, on-demand coaching solutions

By significantly reducing costs and enhancing accessibility, mPath offers scalable, personalized coaching services that deepen user engagement and improve overall well-being.


PROBLEM

mPath addresses the high costs and limited scalability of traditional coaching, which typically costs $250-$500 per hour and serves only 30-50 clients per coach. Users find it difficult to track their coaching progress due to scattered tools and limited personalization.

GOAL

To create a scalable, affordable, and personalized coaching platform that leverages AI to enhance human coaching, thereby making high-quality mental health support accessible to a broader population while maintaining deep, meaningful connections between coaches and clients.

SUCCESS METRICS

MPATH's beta success will be measured by engagement (active users, retention, feature adoption), user insights (NPS, satisfaction, feedback), and usability (task completion, error tracking).

Market Research (insights)

Studies on the mental health crisis, such as the increasing rates of loneliness and mental health issues in the U.S.Analysis of the traditional coaching market, including pricing structures and service limitations.

USER RESEARChSurveys and Questionnaires
‍Interviews
Focus Groups
Ethnographic Research
Competitive Analysis

User Interviews and Surveys (insights)

Direct feedback from 250 potential users on their needs, preferences, and pain points regarding coaching and mental health support.
Surveys were conducted to understand user attitudes towards AI-driven solutions and their willingness to adopt such technologies.


Competitive Analysis (insights)

Examination of existing coaching platforms and their offerings, including traditional one-on-one coaching and emerging AI-based solutions.
Identification of gaps in the market that mPath can address through its hybrid model.
‍

iIndustry Reports (insights)

Reports from organizations like the International Coaching Federation and iPEC providing data on the growth and trends in the coaching industry.
Studies highlighting the economic and social impacts of mental health issues and the need for scalable solutions.

COMPETITOR ANALYSIS

Through leveraging multiple AI technologies, mpath is uniquely positioned to dominate the growing global coaching market

Enhancing User Connections Through AI Memory

By integrating advanced AI technologies with human expertise, mPath is redefining coaching, making it more accessible, scalable, and personalized. This innovative approach positions mPath to lead the transformation of the global coaching market.

defining target audience

The target audience for mPath can be categorized into four main segments based on 250 potential users

target audience 1

Low affinity,
High intent users
Adults actively seeking mental health support and personal development coaching.

target audience 2

Low affinity,
Low intent users
People who perceive traditional methods as sufficient and have minimal interest in coaching or mental health support.

target audience 3

High affinity,
Low intent users
Individuals interested in mental health and personal development but currently not seeking coaching services and in immediate need for support.

target audience 4

High affinity,
High intent users
Adults actively seeking mental health support and personal development coaching.

User Personas

By understanding user needs and preferences, we can design tailored solutions that deliver value, improve engagement, and create impactful experiences.

mPath’s platform is designed with the client at its center, providing AI-driven tools to deliver personalized, flexible, and accessible coaching experiences. These features were developed based on extensive user research, ensuring they address real client needs for convenience, support, and engagement.

solution direction

Key features include:

KEY FEATURE 1

Live Coaching Sessions
Effortlessly book one-on-one live coaching sessions with human coaches, ensuring flexibility and convenience for users to align their sessions with their schedules.

KEY FEATURE 2

AI-Powered Personalization
An intelligent AI memory system that retains user data and interactions, enabling deeply personalized coaching experiences that evolve over time and foster stronger connections.

KEY FEATURE 3

24/7 Text and Voice Chat
Continuous engagement through AI-initiated prompts and responses, available anytime to support users.

KEY FEATURE 4

Asynchronous Video Messages
Personalized video messages delivered by AI video clones, extending the coaching experience beyond live sessions.

solution

Admin Dashboard

solution feasibility

The mPath AI Coaching Platform is technically feasible due to the integration of advanced AI technologies such as natural language processing (NLP) and machine learning models (e.g., GPT-4). These technologies enable the delivery of personalized coaching at scale. The platform's infrastructure relies on scalable and reliable cloud-based services, ensuring seamless AI and human coaching service delivery. Additionally, robust data security measures are in place to protect user information and ensure compliance with privacy regulations, making the solution secure and trustworthy.


conclusionmPath AI Coaching Platform presents a feasible, innovative, and scalable solution that meets the increasing demand for affordable, accessible, and high-quality mental health and personal development coaching.

outcomes

mPath's integration of AI with human coaching offers a unique solution that addresses the limitations of traditional coaching models.

The platform is well-positioned to meet the growing demand for affordable and accessible mental health and coaching services.

mPath focuses on delivering a high-quality user experience through personalized interactions, continuous engagement, and robust data security.


future

Widespread Accessibility and Improved Well-being

Expanded Reach and Integration