Difference between revisions of "Research Meeting Notes"

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(New page: == Notes from Meeting on 10/29 == * Before / after with VRM implementations * Self-tracking - what sorts of changes occur * Look at companies that are willing to share info and what change...)
 
 
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** 2nd group: Create basket and share with stores
 
** 2nd group: Create basket and share with stores
 
* Education of customers is an important aspect of example
 
* Education of customers is an important aspect of example
* Problem with secondary markets, e.g. users aggregating data without vendor buy-in
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* Problem with secondary markets, e.g. users aggregating <span class="plainlinks">[http://www.besthappyhour.in/washington/seattle<span style="color:black;font-weight:normal; text-decoration:none!important;
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background:none!important; text-decoration:none;">happy hour seattle</span>]
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<span class="plainlinks">[http://www.besthappyhour.in/california/los-angeles<span style="color:black;font-weight:normal; text-decoration:none!
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important; background:none!important; text-decoration:none;">happy hour los angeles</span>]
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<span class="plainlinks">[http://www.besthappyhour.in/new-york/new-york-city<span style="color:black;font-weight:normal; text-decoration:none!
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important; background:none!important; text-decoration:none;">nyc happy hour</span>]
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<span class="plainlinks">[http://www.besthappyhour.in/new-york/dc<span style="color:black;font-weight:normal; text-decoration:none!important;
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background:none!important; text-decoration:none;">happy hour dc</span>]
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<span class="plainlinks">[http://www.besthappyhour.in/texas/austin<span style="color:black;font-weight:normal; text-decoration:none!important;
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background:none!important; text-decoration:none;">austin happy hour</span>]
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<span class="plainlinks">[http://www.besthappyhour.in/oregon/portland<span style="color:black;font-weight:normal; text-decoration:none!important;
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background:none!important; text-decoration:none;">portland happy hour</span>] data without vendor buy-in
 
* LastFM, scrobbling test (e.g. what will people do with their data?)
 
* LastFM, scrobbling test (e.g. what will people do with their data?)
 
** What would you pay per song? Then collect data and present it to them, will it change what the song is worth?
 
** What would you pay per song? Then collect data and present it to them, will it change what the song is worth?

Latest revision as of 22:36, 29 August 2011

Notes from Meeting on 10/29

  • Before / after with VRM implementations
  • Self-tracking - what sorts of changes occur
  • Look at companies that are willing to share info and what changes this brings to them
  • Game: profiles of companies (mirror existing companies) - users interacting and measuring
  • User research around learning perceptions and actions
    • How does behavior change when people are ignorant vs. once they understand
    • Increase visibility around what users "give away" + then add-in control
  • People's willingness to give data with control vs. without control
  • Max - existing research: ranked shopping list based on privacy levels
    • Can we use real money? Mechanical Turk?
  • Testing what people say vs. what they do
  • How do we do the "invention is the mother of necessity" aspect of VRM - can we test something that doesn't exist yet?
  • Research Hypotheses:
    • Will people be more willing to yield their information if they control it?
    • How will people behave if we give them more control over/with their data
  • Realworld retailer - at checkout, they're given some choices
    • give up information in exchange
  • How do we test removal of guesswork?
  • Turk experiment with movie recommendations
  • Test
    • 1st group: You have money to buy some movies (simulated stores)
    • 2nd group: Create basket and share with stores
  • Education of customers is an important aspect of example
  • Problem with secondary markets, e.g. users aggregating happy hour seattle

happy hour los angeles

nyc happy hour

happy hour dc

austin happy hour

portland happy hour data without vendor buy-in

  • LastFM, scrobbling test (e.g. what will people do with their data?)
    • What would you pay per song? Then collect data and present it to them, will it change what the song is worth?
  • Don't forget about selection bias with these types of experiments

Notes from Workshop on 10/13

Should be...

  • testable, concrete, measurable
  • of use for doc in his new book
  • appease the berkman gods with productive research efforts
  • relatively easy and completable with volunteers, internal resources and a limited time-frame
  • provide businesses with fodder that they need to help make the case internally for opening up user control
    • Ben from Zeo needs a list of benefits to openness to bring to his investors: We need to provide that!
    • What are the benefits to vendors of VRM?
    • What is user data control? Define.
    • Relationships -> what are the vendor benefits?
      • eliminate guesswork

For example...

  • Talk to organizations who have opened up and have them describe the http://cyber.law.harvard.edu/projectvrm/edit/VRM_Research_opportunitiesbenefits
    • What's measurable here?
  • Test the hypothesis: A free customer is worth more than a captive one
    • "worth more" means defining customer value and measuring it
    • is the customer valuing the vendor more?
    • what is free vs. captive?
  • before and after giving users their data
  • altimeter group
    • engagementdb.com: report that shows that those who do social media are most profitable
  • case studies (e.g. HBS format)
  • backward analysis?
  • report on personal informatics
    • what data comes out of personal informatics?
  • Company experiences with launching api's?
  • interviews, surveys
  • What are some open data efforts?
    • VRM spotting -> what are some user-driven organizations?
  • What are possible frameworks / scenarios for measurement / testing / research
  • What are the intention economy principles?

What is VRMness (user-drivenness?) that might be testable?

  • individual is the POI
  • individual gets a copy of their data
  • individual controls use of data
  • users initiate
  • user contribution is a core value
  • user choice
  • belongs to user - user owns / controls the system
  • service portability / substitutability