How would you improve Google Home?
- Pankaj Jain
Great question – In order to work through this problem, I would like to understand our goals and constraints and then think about our users and their core use cases, prioritize the use cases and then brainstorm some solutions to address those use cases.
Clarifications:
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When we say Google Home – we’re talking about the physical Google speaker that has the Google Assistant built-in, right? And that includes the Home hub max and the mini as well, right?
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What are the main goals of the improvement? Is it to increase engagement, new market entry, increase unit sales of the devices, any other goals?
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Any specific market we’re aiming at?
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What constraints are we working with?
Now, just to make sure my understanding of the product is correct:
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Google Home is a physical device with built in Google Assistant – that can be signed into using a user’s existing Google account and that can be used to interact with Google in a natural language way to get questions answered, command the device to do certain tasks, or use it to control other connected devices in the user’s home. If it’s okay, I would like to focus on the Google Home Hub Max – the one with the screen as I feel there are several ways we can think about to improve engagement on that.
Let me take a minute to think about various different user personas that interact with Google Home
User Personas:
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Kids under 17
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Parents
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Young and busy professionals
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Elderly
In order to choose which persona to focus on, I would look at two main parameters:
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Total potential user base
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Kids under 17 – globally is about 26% of the population: that gives us a potential user base of 1.9B users
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Possibility of a Platform/Ecosystem play
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One common focus area for kids under 17 globally is education – and education is a sector that has schools, teachers, kids, parents, book publishers, and school supply manufacturers – all forming a ecosystem so building an education platform is a good strategic choice that is valuable for users as well as Google.
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Kids under 17 and their education needs:
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Personalized learning
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Keeping track of school homework and getting help completing it
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Collaborating with other students to complete school project work
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Help with standardized tests
I think problems 2 and 4 cannot really be effectively solved without solving problem 1 – so that becomes the key focus area – furthermore, problem 3 seems to be a relatively easy fix via the Google Home – so we can think about that as a new feature development for Google Home.
So, our main user need to solve for is Personalized Learning – and I would like to next spend some time brainstorming solutions for that. And because our goal is to increase engagement, I would like to think about ways to make the product sticky for users.
Personalized Learning – core solutions:
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Learner profile – build a rich learner profile that gives G home a deeper understanding of the students strengths, skills, needs, motivations, and goals
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Build a personalized learning path for each student – and bring in rewards for successfully making progress on the learning path
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Competency based learning – basically, a testing mechanism that does not purely test hard skills on a test but also tracks development of core skills and designs tests to measure competency
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Adaptive learning environment –Â changing the physical environment (mood lighting, concentration music, etc.) tailored to user’s needs
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Collaborative / group learning – be able to exchange notes and ideas with friends when working on a project
Personalized Learning – Peripheral solutions:
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Payments for classes
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Online ordering for school supplies
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Progress report sharing and acknowledgement by parents
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Parent – teacher regular check ins
User Need: P13N Learning
Solution |
Value to user |
Value to G |
Tech Complexity |
Tradeoffs/Challenges |
Phase |
Learner profile |
High |
Very High |
Low |
Privacy, data protection, regulatory requirements |
MVP |
P13N learning path
|
High |
High |
Medium |
High precision/recall on suggested learning paths |
MVP |
Competency based learning |
High |
High |
Medium |
Institutional change management – do high schools agree with competency based progression or do they need pass/fail on standardized tests |
V2 |
Adaptive learning environment |
Medium |
Medium |
Low |
Relies on iOT devices in the user’s home |
V1 |
Collaborative learning |
High |
High |
Low |
How do we keep the kids engaged in a group focused on learning |
MVP |
Online payments |
High |
High |
Low |
Spam and fraud prevention, unintended purchases not authorized by parents |
MVP |
Order school supplies |
High |
High |
Low |
Spam and fraud prevention, unintended purchases not authorized by parents |
MVP |
Parent/Teacher connects |
High |
High |
Low |
MVP |
|
Progress report sharing with parents |
High |
High |
Low |
MVP |
Recommendation:
Based on my analysis – I would recommend building an MVP focused on building a rich learner profile over time that can be used to build personalized learning paths for each student. I will also top off the MVP with the peripheral features I identified because that helps with adoption of the product and also increases engagement from parents and teachers and therefore – creates a ecosystem around children’s education
Success Metrics:
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Engagement:
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# of new users signed up
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# of users dropping classes and learning paths and at what points
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# of users completing all classes and learning paths
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Adoption across teachers
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# of new home hub devices sold
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User Satisfaction
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NPS
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CSAT
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Go to Market: In terms of launching this product, I would like to pilot this in a tech savvy large city in India – example; Bangalore: Gather data from the pilot launch and then roll out to other tech friendly cities such as Hyderabad, Pune, Bombay, Delhi, etc.
I want to choose India because of three main reasons:
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Hyper focused culture on kids’ education
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Diversity in the school system – an opportunity to truly build an intelligent personalized teacher for kids
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Building for India can help building for other geographies much easier