SlideShare a Scribd company logo
1 of 10
www.senti.us
what we did 2
Howya
doin’?
… on a scale
of 1 to 5?
we asked …
about 30 people
one of 200 or so questions
2 to 5 times per day
for about 1 year.
we got …
about 20,000 responses
we launched …
and have 20,000 responses from new users
how we did it 3
Questions. Answers.
health & fitness
online & mobile activity
calendar, location, weather
APIs
Responses
the best
next question
what we learned 4
me, my sister, my mom
happiness
by day of week.
Twitter & Facebook
results are published
studies based on word
frequency in posts (eg.
“happy Friday!”).
matches other data
sources
matches subjective
experience and trends
with real events
predictive
50 million users 500 million users pilot users
sun mon tue wed thu fri sat
Senti
today tomorrow
forecasting mood
what i learned 5
-4
-2
0
2
4
4/6/13 4/13/13 4/20/13 4/27/13 5/4/13
posi ve mood nega ve mood walking weight high temperature clear weather
what i learned 6
-4
-2
0
2
4
4/6/13 4/13/13 4/20/13 4/27/13 5/4/13
posi ve mood nega ve mood weight
what i learned 7
what i learned 8
what i learned 9
-4
-2
0
2
4
4/6/13 4/13/13 4/20/13 4/27/13 5/4/13
posi ve mood nega ve mood walking weight high temperature clear weather
www.senti.us

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LA Quantified Self Meetup (6/13) - Mood tracking with Senti.us by Erica Davis

  • 2. what we did 2 Howya doin’? … on a scale of 1 to 5? we asked … about 30 people one of 200 or so questions 2 to 5 times per day for about 1 year. we got … about 20,000 responses we launched … and have 20,000 responses from new users
  • 3. how we did it 3 Questions. Answers. health & fitness online & mobile activity calendar, location, weather APIs Responses the best next question
  • 4. what we learned 4 me, my sister, my mom happiness by day of week. Twitter & Facebook results are published studies based on word frequency in posts (eg. “happy Friday!”). matches other data sources matches subjective experience and trends with real events predictive 50 million users 500 million users pilot users sun mon tue wed thu fri sat Senti today tomorrow forecasting mood
  • 5. what i learned 5 -4 -2 0 2 4 4/6/13 4/13/13 4/20/13 4/27/13 5/4/13 posi ve mood nega ve mood walking weight high temperature clear weather
  • 7. -4 -2 0 2 4 4/6/13 4/13/13 4/20/13 4/27/13 5/4/13 posi ve mood nega ve mood weight what i learned 7
  • 9. what i learned 9 -4 -2 0 2 4 4/6/13 4/13/13 4/20/13 4/27/13 5/4/13 posi ve mood nega ve mood walking weight high temperature clear weather