Build Age-friendly Products
AgeTech & AI: stage-of-life demographics + product fit + human-centered design + AI-powered persona variables = usability
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Course overview
Learn skills to build for all audiences
Learn how AI can help identify demographic data, uncover social and generational influence for product fit, highlight human-centered design imperatives, and offer intelligent persona development, to build user experience for scale.
Please note: This course is currently not available. I will post once availability opens in the future.
Build Age-friendly Products is a crash course on how to build better next-gen products, with a specific focus on the age 50+ demographic. The 50+ demographic is a massive, fast-growing and an economically powerful consumer segment. Responsible for more than 50% of all consumer spending across all product categories (both as an end-user or purchaser for others) this four-generation demographic is prime for innovation in health, finance, real estate, retirement, travel, leisure, sport and more.
This course is about understanding a huge opportunity, and building AI-powered products, user experiences and business that meets folks where they are. (and in reality, also impacts our own future self!)
* 4.5 hours of live and on-demand sessions
* Student interactive exercise
- Course completion certificate
* Video recording of all sessions available via Maven platform
* Small class size
* Seats are limited
Who is this course for
01
Product leaders looking to understand customer segments, and build inclusive products and leverage a massive and diverse demographic with
02
Aspiring and seasoned designers looking to upskill and be able to design AI agents for the largest demographic customer base: older adults.
03
Business leaders, founders and startups who want to bridge product, design, AI, and the older adult consumer
What you’ll get out of this course
A deep understanding of the longevity landscape and older adult demographic
Foundational knowledge of the breadth and depth of the age 50+ demographic, where to find research (census data, gerontologists, investment, age-related organizations, startups, big tech)
How to approach product usability for specific audiences.
Learn a system for help from ideation to production.
A Stage-of-Life framework for persona development and product personalization
Learn an age-inclusive framework and how to AI-enable tasks to create personas and product personalization
A foundation in language variation for conversational AI design.
How we speak and listen changes during our lifetime. User interaction influences and/or barriers impact the success of AI agents, voicebots and chatbots that converse with older adults.
Incorporating AI
Do's, don't, and maybe.
What’s included
Live sessions
Learn directly from Heidi Culbertson in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
What students are saying
Meet your instructor
Heidi Culbertson
Heidi Culbertson
Conversational AI Leader, ex-Amazon Alexa, AgeTech Entrepreneur
Heidi Culbertson is an innovation leader who has spent a career pioneering new tech capabilities and user experience in startups and Fortune 10 companies. Heidi is a former Amazon Alexa Product Manager and Business Development leader, former 20-year leader in the mobile industry, a sought-after keynote speaker and advisor, and was the founder of the award-winning AgeTech startup, Marvee, a conversational AI platform responsible for a multitude of conversational experiences specifically designed for older adults. Today, Heidi is the CEO of Move.Think.Play. LLC, a education and use experience company.
Honors have included: Voice AI Industry VIP award, Amazon Alexa Champion status, Conversational AI top Leader, and multiple top honors in Product & Design.
Course Schedule
4 - 4.5 hours
Live sessions
4 hours of live lectures, activity, Q&A
- Live sessions via Zoom
- Student exercises
- On-demand bonus content
- Course completion certificate
- Video recording of all live sessions available via Maven platform
* Multiple cohorts (days/times) available
* Small class size
* Students seats are limited