If you were a PM for Google Nest and your development team has means to get real time weather data, how would you productize this technology?

1. CLARIFY:
   1. Is there any limitations to the kind of weather data we have access to? For example, is it OK to assume we have access to temperature, rain / snow / hail, etc.? No limitations. 
   2. Is this data global or in a specific region, like US? You choose. 
   3. Is there a specific goal or user we should focus on re. incorporating weather data into Nest? You choose.
   4. Is there a specific product of Nest we should focus on? You choose. 
2. NEST BACKGROUND: Google Nest is a brand of smart home products, including speakers, smart displays, thermostats, smoke detectors, wifi, cameras, etc. Its first offering was the thermostat, which is programmable and sensor driven. The mission of Google Nest is to create a helpful home and build devices / services that allow the home to take care of its occupants. 
3. GOAL: For this question, I'd like to focus on how we can incorporate weather data into the Nest thermostat. The goal is to increase number of people who purchase the Nest thermostat by making it more helpful / desirable with the incorporation of weather data.  
4. USER GROUPS: For this question, I'd like to focus on the home owners, as I expect they are the largest purchasers of Nest thermostat.  
   1. Home Owners: Individuals who purchased Nest for home environment. Could be individual, couple or family with children. 
   2. Businesses: Businesses that purchase Nest for office. Most likely businesses are small or medium sized with less than 100 employees, as large office buildings likely have their own heating / cooling systems.
5. USER PAIN POINTS: I'd like to focus on temperature related pain points as it relates to the outside weather.
   1. Home:
      1. Too Hot / Cold: Home is too hot or too cold due to outdoor temperature.
      2. Temperature Over Compensation: Overly compensates for temperature outside. For example, overly heat house if cold outside.
      3. Windows: Windows cause hot or cold spots in house. For example, if sun is particularly strong, area around windows is extremely warm.
   2. Outside:
      1. Dressed Inappropriately: Individual did not check the weather and dressed inappropriately for the temperature. For example, did not bring a thick enough jacket if its cold.
      2. Weather Change: Weather changes unexpectedly, and individual was not prepared. For example, sudden rain. 
6. PRIORITIZE PAIN POINTS:

   1. Theme	Pain Point	Impact to User
      Home	Too Hot / Cold	High
      Home	Temperature Over Compensation	Medium
      Home	Windows	Low
      Outside	Dressed Inappropriately	High
      Outside	Weather Change	High

7. SOLUTIONS: I will focus on solutions that address the high pain points. 
   1. Smarter Temperature Adjustments: Nest uses outside weather to make smarter temperature adjustments in the home based on weather outside. For example, if it is very hot outside, makes the home slightly cooler.
   2. Weather Change Announcements: Nest announces to the home when there are big weather changes in the day at set intervals or when there are big changes about to occur. 
   3. Alarm Clock: Nest builds an alarm wake up call that wakes up user and announces the weather for the day.
   4. Door x Nest Link: Nest thermostat builds a connection to the Nest indoor home camera and gets notifications when someone is leaving the house. Nest reminds user of the weather and tells them what to wear based on temperature.
   5. Smart Assistant: Nest thermostat builds Google Assistant voice capabilities into it and helps user plan what to wear based on weather. 
8. PRIORITIZE SOLUTIONS: 

   1. Solution	Impact to User	Cost to Google
      Smarter Temperature Adjustments	Medium	Low
      Weather Change Announcements	High	Low
      Alarm Clock	High	Medium
      Door x Nest Link	High	High
      Smart Assistant	High	High

9. CHOOSE SOLUTION: Based on the prioritization, I'd focus on building weather change announcements into Nest. These announcements could occur at set times during the day or right before a big weather change. The user could change certain settings to ensure that announcements are not during certain times of the day. For example, the user may not want these announcements when they're sleeping. 
10. METRICS:
    1. # of users who purchase Nest with increased weather capabilities v. # prior to enhancement
    2. % change in # of users purchasing Nests with new weather capability
    3. % of users who turn on weather announcements in Nests
11. SUMMARIZE: As a PM of Google Nest, I'd productize weather data into the Nest thermostat. I'd build the capability for the thermostat to announce the weather / big weather changes to its users. I hypothesize this additional capability will increase the number of people who purchase Nest thermostat / set it apart in the market.

Clarify

- Is it safe to assume that real time weather data is something more accurate than the data we are getting today?

- OK to focus on US, or any other geograpahy in mind?

- Understanding of current NEST product line - NEST is a suite of connected home products including smart thermostat, doorbell, security systems and lights, and speakers - is that correct?

Metrics

- Are there any particular business goals that have been identified?

Considering potential goals of aquisition, activation, retention, monitization there is likely an opportunity for us to gain market share in the smart home category. Assume that people who purchase nest products install and and use them, so activation is likely not a priority and once you have it installed them would image that there is little turnover, so retention is not likely a huge issue. Google makes most of its money from ads, so revenue of the nest suite in particular may not be a huge priority but market share would be, assuming that we want to get people into the google nest (and  more broadly google) ecosystem.

- Market share is our goal. Would it be reasonable to assume an 10% increase in market share of the connected home segment in one year as a target? This would include sales of all devices that fall into the connected home segment.

Personal experience with nest thermostat

- a smart thermostat which is purchased by customers for home use

- learns preferred temperatue setting and automatically manages the thermostat settings

- can control it remotely

- use it to see the weather outside

- a monthly report which shows your energy use as compared to others

Potential Users

- Non smart home - they have not puchased any smart home products. May have concerns with privacy or not be tech savvy.

- Smart home novices - may have one smart home product but likely don't have other connected home devices.

- Smart home gurus - value connectivity of their smart home ecosystem and have numerous smart home products - lightbulbs, security system, smart appliances, smoke detectors, doorbell

Let's focus on smart home novices since there is significant upside in their potential purchase behavior. They have already demonstrated that they are comfortable with these types of devices and it may be easier than trying to convert a non smart home user who may be have serious concerns about privacy or is just satisfied with the status quo.

Does that sound OK?

User journey with Pain points re: weather

- Wake up in the morning and check the weather (via phone, watch, google home, google nest, TV, computer)

- Plan the day according to weather (weather predictions change throughout the day, Changes in weather can dramatically affect the plan) - H

- Based on weather, will decided to open/close windows, adjust fan settings, or do other types of acvities - H

Solutions

- notifications of changes in weather or of severe weather alerts (Impact - L, Level of effort - L, Prioritize - N)

- calendar integration with recommendations on optimizing plans on calendar according to weather - eg leave earlier, include virtual assistant (Impact - M, Level of effort - M, Priorize - N)

- recommendations for home based on weather patterns - 10 days of storm, recommend insulation  (impact L, level of effort - L, N)

- development of smart curtains/shades to optimize for weather (impact - H, level of effort - H, M)

- development of smoke sensors and smart air purifiers (impact - H, level of effort H, M)

Success metrics

- Primary metric: market share in the smart home segment

- Secondary:  unit sales of new smart products (shades, air purifiers), revenue of smart home products, product utilization, impact of new product lines on sales of other nest products

Summarize

- focus on driving market share in smart home segment

- focus on increasing purchase with smart home novice

- identified typical user journey and pain points with respect to changes in weather - planning day and home optimization were key pain piont

- identified 5 solutions, assessed impact, effort and priortized 2

- result - 2 new smart home products intented to help increase market share in 1 year by 10%