Uncovering user needs is one of the most challenging aspects of product development. Oh-so-many organizations develop beautiful products and services nobody needs. The Experience Sampling Method is a simple research technique for uncovering user needs. In a typical Experience Sampling method, research participants are interrupted several times a day to note their experience in real time. In this talk, Tomer Sharon will demonstrate the method, how it can help developing the right product, describe how it has been applied at Google Search, and provide a short, practical how-to guide.
Watch all Google I/O 2014 videos at: g.co/io14videos
Great talk Tom!
The main points for me were:
-Don't ask but instead observe behaviour
-Don't start with a solution but first establish the problem of focus by doing research
-"For every new product there is prior knowledge that people apply to using this new product"
Very nice talk, but I was a bit confused about your initial premise that you "don't listen" to users but you "observe" them. But later in the talk, the way you approached asking people about "what did you want to know recently", you followed the path of listening (email, sms, phone, surveys, 1-on-1) instead of observing. I would be interested to know your views on this. Thanks.
I think he referred to the IFFTTT app, you find examples how to use it here:
Something like “Save starred Gmails to Evernote” seems a good recipe to collect feedback in a structured way.
Marin Community Foundation and Asian Americans/Pacific Islanders in Philanthropy.
Overall, US-born Muslims make up the largest percentage at 34% of all Muslims in the Bay Area, followed by 14% born in Pakistan, 11% in Afghanistan, 10% in India, 3% in Egypt and 2% each in Iran, Jordan, Palestine and Yemen.
Silicon Valley Pakistani-American by the Numbers:
There are 35,000 Pakistani-born Muslims in San Francisco Bay Area, or 14% of the 250,000 Muslims who call the Bay Area home, according to the study. Bay Area Muslim community constitutes 3.5 percent of the area’s total population and is one of the highest concentrations of Muslims in the country.
As of 2013, South Asian Muslims, including Pakistanis, have the highest income levels, with nearly half (49%) of them having a household income above $100,000. In comparison, those groups with the lowest proportion of household incomes above $100,000 were Hispanic Muslims (15%), Afghans (10%), and African American Muslims (10%).
The Bay Area Muslim community is very diverse in terms of race and ethnicity:
South Asians (30%)
African Americans (9%)
Asian/Pacific Islanders (7%)
Based on the survey findings, the majority of Muslims live in the following three counties:
and Contra Costa (12%)
Thousands of Pakistan-born techies are working at Apple, Cisco, Google, Intel, Oracle and hundreds of other high-tech companies from small start-ups to large Fortune 500 corporations. Pakistani-Americans are contributing to what Erik Brynjolfsson and Andrew McAfee describe as "The Second Machine Age" in a recent book with the same title.