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Text2Review Insights and Results
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Text2Review Insights and Results



Results and Insights from 3 Texting Pilots Designed to Promote Better Study Habits

Results and Insights from 3 Texting Pilots Designed to Promote Better Study Habits



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Text2Review Insights and Results Presentation Transcript

  • 1. Text2ReviewResults and Insights from 3 Texting Pilots Designed to Promote Better Study Habits
    Andrew Martin
    Stanford University ‘13
  • 2. What’s the Problem?
    Students attend class, take notes, but then LEAVE class without reviewing what they just learned.
    They don’t look back on their notes until a week later when they need to do homework
    OR worse yet, months later when they cram for exams.
    This leads to high levels of stress when students cram for exams, rather than slowly learning and internalizing over a quarter.
  • 3. What’s our BIG Abstract Goal?
    To get students to study more EFFECTIVELY, thereby reducing the inherent stress when cramming under an imminent time deadline
    Yes, a LOFTY goal, but if you break this large goal into many small target behaviors that matter, it is possible.
    The key? Hot trigger each behavior at the correct time, and reinforce each one until they become habits.
    These texting pilots are testing the FIRST, smallest target behavior to reach this goal.
  • 4. What are our Assumptions?
    From BJ Fogg’s Behavior Design principles:
    Humans are LAZY, sloppy thinkers
    Humans are creatures of HABIT
    Don’t assume that people have the willpower to do anything
    When designing solutions, start with the most motivated people
  • 5. Smallest Behavior That Matters / Study Design
    The FIRST step in studying more effectively is actively reviewing a lecture right after it occurs.
    So, I will gather participants and ask them what time they have lecture for each day of the study.
    Key: I texted (hot trigger) each user immediately following their lecture (at the right time), asking them to:
    “Text me anything you just learned in lecture in 5 words or less!”
  • 6. Trial 1: 14 Friends/2 Days
    28 texts sent to users, 28 texts received
    “eigenvectors are key to diagonalization”
    “geographic barriers cause allopatric speciation”
    100% Response Rate!
    Feedback: “I did enjoy answering. To answer, I would review the entire lecture. More than anything else, it at least helped me determine areas I would have difficulty summarizing or did not understand that well.”
  • 7. Trial 2: 6 Friends/Everyone in Econ 50/1 Day
    Added incentive: Promised users to send all the summaries at the end of the day. Users appreciated seeing other summaries.
    6 texts sent to users, 6 texts received
    “perfect substitutes have flat ICC”
    “calculating indirect utility from demand”
    100% Response Rate!
  • 8. Trial 3: 17 Anonymous Users5 Days
    Iteration: Will I see similar results when users aren’t my friends?
    Sent emails, with bit.ly links to sign ups, to several dorm chat lists.
    64 people clicked bit.ly link, 17 sign ups
    27% conversion rate on sign ups with anonymous users
    17 Users: 3 Freshman, 12 Sophomores, 1 Junior, 1 Senior. All Stanford.
  • 9. Trial 3: Results
    82 texts sent to users, 57 texts received; 70% Response Rate over 5 Days!
    “Photography is about creating relationships”
    “Allocate regulation resources more economically”
  • 10. Trial 3 Feedback
    60%response rate on text survey
    9 of 10 enjoyed the process of reviewing and texting in 5 words or less
    10 of 10 said they reviewed their lecture through their notes or in their head to formulate answer (the TARGET BEHAVIOR)
  • 11. Text2Review Overall Results
    So after 3 trials, it seems as if we have successfully designed for our target behavior.
    The vast majority of users said that in order to answer the text, they took 2-3 minutes to review the lecture that just happened.
  • 12. Insights / Keys to Success
    Key 1: A well-timed hot trigger. Sending a hot trigger (text) is not enough, users need to be able to act on it right away.
    Key 2: Focused on a target behavior that people are already motivated to do (study more efficiently!)
  • 13. Surprises
    I’m surprised that in my first two trials, I had a 100% response rate, 34 texts sent and received!
    Why did this happen?
    I made it easy for users to respond (<2 minutes required, trigger at right time)
  • 14. What Next?
    Next, we need to figure out the next small behavior that matters that will move our subjects closer to the goal of studying more efficiently.
    Building on our idea, we can try texting users after every lecture, not just 1 lecture/day
  • 15. Contact Info
    Questions? Comments? Contact Me (Really!)
    Andrew Martin, Stanford ‘13
    T: @amartinsu13
    E: amartin6@stanford.edu