Product Design in the Enterprise: Data, Behavior and Privacy
Upcoming SlideShare
Loading in...5
×
 

Product Design in the Enterprise: Data, Behavior and Privacy

on

  • 1,650 views

Product Design in the Enterprise: Data, Behavior and Privacy. ...

Product Design in the Enterprise: Data, Behavior and Privacy.
My goal is to leave the audience with a fresh perspective on designing data products at scale, insight into the challenges facing information architects and designers when designing analytical tools, the behavior we are influencing, and our responsibility to users around these issues.

Statistics

Views

Total Views
1,650
Views on SlideShare
1,029
Embed Views
621

Actions

Likes
5
Downloads
12
Comments
0

7 Embeds 621

http://www.scoop.it 577
http://lanyrd.com 19
http://sprmario.tumblr.com 9
https://twitter.com 9
http://tweetedtimes.com 4
http://www.linkedin.com 2
https://hootsuite.scoop.it 1
More...

Accessibility

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Product Design in the Enterprise: Data, Behavior and Privacy Product Design in the Enterprise: Data, Behavior and Privacy Presentation Transcript

    • Product Design in the Enterprise EuroIA 2013, September 28, 2013 Chris Rivard @chrisrivard When I think about enterprise product design and data products in particular, and the skills necessary to solve the emerging challenges we face in software, interaction design, user experience. I can think of no better role within an organization than that of the information architect. This is our domain. As cross-disciplinary practitioners it is our responsibility to both ensure that what we are designing is both contextually meaningful and that it reaches into the past to remind us of our inherent humanity.
    • 1. Materials 2. Social Signals 3. Data Product Design
    • Product Design Materials 1. survey of materials used to design and build artifacts 2. meaning that we imbue into these artifacts 3. artifacts help us to make sense of the world around us. 4. Data product design at Jive 5. Close with some insight into enterprise product design and our emerging role in the design of information, products and data.
    • Sillustani 1. Pre-Incan ritual and burial site in the Peruvian Altiplano (~600 years ago) 2. Ceremonial Area 1. Entrances Faces East 2. 3 Steps - Condor, Puma, Snake 3. Constructed of materials readily accessible.
    • Aymara Chullpas 1. Aymara Chullpas (elite family burial towers) 2. Entrances and openings face east to the rising sun *this site was only made a national archeological preserve 2 years ago.
    • Materials 1. No wheel, massive human labor - testament to the social organization involved. 2. Material left unused, catalogued (and numbered by archeologists)
    • Don’t lie Don’t steal Don’t be lazy 1.Chakana or Incan Cross - Incan Moral Code 1. Condor, Puma, Snake 2. Knowledge, Love, Work 3. Cusco - the capital in the center
    • Carl Jung “We constantly use symbolic terms to represent concepts that we cannot define or fully comprehend.”
    • Assigning meaning Making sense of the physical world 1. A creative process 2. Multi-layered and complex 3. In the case of the Inca and pre-Inca: Rooted in the physical world.
    • 100 years ago
    • Portland 1. Utility of the artifact - a steel ring hammered out by a blacksmith 2. How to keep a horse from wandering off in the city?
    • Social Utility 1. Moving away from a reflection of the natural world toward our interactions within society. Utility. 2. These artifacts are all around us, concrete objects.
    • Purposefully designed Built by artisans from materials readily accessible artisan > mass production > artisan 1. From artisan to mass-production (back to artisan?) 2. “You can have it in any color as long as it’s black” - Henry Ford
    • Product Design New materials Let’s transition. And fast forward to the present.
    • What do we value? Where we focus our attention defines what we value 1. As information architects 2. As designers 3. As technologists 4. As a culture
    • 1. Where we focus our attention defines what we value 2. Hidden complexity in a physical product or technology (magic) (making cat5 cables, TCP/IP, wireless) 3. Assign meaning through personalization through a single physical characteristic: the color. 4. Bridge generation - saying goodbye to old metaphors // flat design // goodbye to skeuomorphism
    • Bricked 1. Irony of the language that we use. 2. Anachronistic 3. As a physical artifact, a slab of plastic and metal is not that interesting (you can’t build a house out of bricked mobile phones) / the utility of the physical artifact is lacking.
    • The human brain inherently tends to gravitate toward ideas which sound complex. This is the negative space. Let’s pause for a moment here. 1.This is the negative space of software product design 2.This is where the designer earns their keep 3.This is probably the greatest source of friction among designers in enterprise software. 1. And germane to this audience... information architecture is a bit esoteric, we like complexity, our raw materials are linguistics, rhetoric, interactions. 4.Taleb in Antifragile calls this “via negativa”. Removing/taking away from - not adding.
    • Complexity Jawbone Up 1.Complex technology hidden in a simple physical artifact - sensors. 2. From the utility of the artifact to the data the artifact creates
    • Blue or Red or ... 1. Fitbit Flex 2. Our new raw material - the resource we are building with - are data. 1. It is not a finite raw material - these are our contrails.
    • Sensemaking Adding meaning to our experiences 1. Adding meaning to our artifacts ... to meaning to experiences. 2. Do we have to choose between the value of the data or the value of the experience? Do they complement one another? Do they enrich or inform an experience?
    • 1. Does the quantification of the experience add value?
    • Doggles!? 1. What does the measurement of our experiences add to them?
    • “The Milkshake Run” 1.There are variables, qualities of the experience that cannot be captured by data.
    • Instrumentation Finite variables in a closed system. In Quantified Self - Variables do not add up to the experience. Person in physical space (exercise) Monitoring physical objects (in the 3 dimensions).
    • 1. FACET - NASA, air traffic evaluation tool 2. Closed system, no room for error. 3. Generally finite variables (you could argue for weather discrepancies)
    • 1. What about instrumentation in a closed system? 2. Cloud computing architecture. Application monitoring. 3. Complex, many variables - yet inputs, software and hardware are controlled.
    • Complexity Sensemaking Meaning
    • Data Product Design Designing with data (R&D, Sales, Product) At Jive: 1. R&D focused initiatives - Collaboration. 2. Sales & marketing initiatives - Renewals Dashboard. 3. End-user product initiatives - Impact Metrics.
    • We provide a social business software platform that we believe improves business results by enabling a more productive and effective workforce through enhanced communication and collaboration both inside and outside the enterprise. 1. Mix of internal and external communities. 2. Large, global customers.
    • Truffle sniffing hog
    • Data Science & Design Degree Centrality Interaction Pairs Collaboration Co-Clusters
    • 1. Degree centrality, e.g. how connected is the node (fig. A) 2. “Interaction Pairs” - Creation and response pairs. 3. Island method - breaking large networks into small networks
    • 1. Force directed layout - fun the first time.
    • Social Signals Everything we do emits a signal 1. We’re not instrumenting hardware or software any longer 2. We’re instrumenting human interactions
    • How we speak “Pronouns and other stealth function words serve as subtle emotion detectors that most of us never consciously appreciate.” The Secret Life of Pronouns, James Pennebaker 1. When writing about positive experiences people tend to use “we”-words at particularly high rates. People who are happy are also more specific, relying on concrete nouns and references to particular times and places. 2. When in great emotional or physical pain, they tend to use I-words at high rates.
    • Our body language We cannot interact with signaling A lot like style - you cannot not have it.
    • Do not disturb
    • Power poses 1. Amy Cuddy’s TED talk (http://www.ted.com/talks/amy_cuddy_your_body_language_shapes_who_you_are.html) 2. Drawing inward vs. opening up (cortisol or testosterone)
    • Honest Signals Influence / Language Style Matching Mimicry / Body Language Consistency / Mental Focus & Variability Activity / Excited or Subdued - Sandy Pentland, MIT Sandy Pentland -MIT Autonomic nervous system
    • Social Signals Through our online interactions 1. How do these signals manifest in an online community? 2. Not physical, not a f2f conversation (mirroring - Language Style Matching)
    • Impact Metrics Better insight into authored content 1. Jive content types, social graph, communities both internal and external 2. Early on this was called “vanity metrics”.
    • How can we make using Jive better than sending email? 1. Think of a read receipt. 2. Think of sending an email and having immediate feedback. 3. Can we make a case for that? This is the problem presented to the design team.
    • 1. Various collections of people organized into (Places: spaces, groups, projects) 2. Robust permissions: secret groups, private groups, members only groups 3. Activity streams where content is disseminated throughout the community 4. Multiple collaborators on a piece of content 5. Complexity in how the interpretation and understanding of this data
    • Platform Complexity Multiple Content Types Activity Streams Group & Permissions
    • Calculated Metrics 1. Reach - how much of the community did your content reach **permission 2. Sentiment - how was your content received **total likes / viewers 3. Impact - social actions to views **shares, bookmarks, likes, comments
    • Private or Public? 1. This feature was added in the second cloud release after internal testing / feedback.
    • Actionable
    • Who? 1. Who read my content? 2. This decision was extremely controversial. 3. There are system admins who have all access. Should they appear in the list of viewers? Yes, they do. 4. My boss has never read any of my content. And he gave me a bad review.
    • Iteration When data products meets reality
    • Impact Score / Viewers 90 80 70 60 50 40 30 20 10 0 0 50 100 150 200 250 300 350 r2 r1 Viewers ImpactScore Trending Downward Smooth + Up 1. As a piece of content trends, the impact was going down. why? 2. It was going viral
    • Enterprise Cadence Learn & Adapt 1. Talk a little about the design between the 2 releases (Nomad to Samurai to Titan - Great Divide Brewing)
    • 1. Redesigned for the Titan release.
    • 1. Realtime 2. Segmentation 3. Analytics API Cloud Service - allow direct access to the data 4. Instrument everything 5. Expanded content types (documents, discussions, blog posts)
    • Privacy (pre-prism) 1. (The illusion of privacy) in the workplace 2. Bundesdatenshutzgesetz (BDSG) 3. Safe Harbor Act - Directive 95/46/EC (personal data) 4. Cloud Threatens the openness of the Internet - which is a problem. Brazil response: walled gardens. Innovation will slow. More of a philosophy of openness.
    • Design Challenges 1. Entitlements / Calculation 2. Compute / Analytics API 3. Calculated Metrics / Meaning
    • Data to Action to Meaning Insight and sensemaking 1. This is the next phase. 2. Remove the data from the forefront. 3. Correlation is not the primary interest. 1. Does the reason why really matter? Nate Silver is saying this... 4. Relate IQ (CRM using social data) 5. Klout (an idea without a business model?) 6. The Data Guild - former colleagues who are building an “IDEO for data science”. 1. Data is a raw material with which to build. 2. Determine the questions that you want to answer “how can groups make better decisions?” 1.e.g. What is the best way to decide how to construct a nuclear reactor so that it will withstand an earthquake + tsunami? Fukishima.
    • Observer Paradox Observation of an event is influenced by the observer e.g. “The Gentleman’s Like” 1. “The Gentleman’s Like”
    • Human Behavior & Identity 1. As information designers we live in information spaces, but I want you to think about the same concepts in physical spaces. 2. Sensemaking in complex environments, complex systems (Cynefin) 3. What I personally find so fascinating - is the ownership people feel to their data (reward + punishment) 4. How users tie their Identity to the data they generate.
    • Ongoing Conversation Social signal + work persona? Etiquette for ‘Liking’ in a business context? Network intelligence (signal > response) Deriving meaning from data
    • Data Scientist 2.0 “...they’re going to ... understand how to put the human back in the loop of data.” -DJ Patil, RelateIQ (Le Web - Dec 2012)
    • Information Architect 2.0 Drop the mic and walk away. 1. These are questions of behavior, experience, design, information. This is our domain. 2. This is cross-disciplinary - this is where we earn our keep.
    • Choices | Aesthetics (doing nothing is a choice) 1. We’re (culture) running up a mountain at top speed. No idea what is on the other side. Google Glass / Oculus Rift VR 2. We have choices... dystopian panoptical surveillance state (note: 9/30...oops.) (Franzen) or a sustainable / complementary balance.. where technology and being human are complementary.
    • Koyaanisqatsi (out of balance) Complementary (balanced) 1. It is a fallacy to assume that we will escape our nature (our biology). The old metaphors will fade into history - it’s up to us to establish new ones. 2. http://en.wikipedia.org/wiki/Koyaanisqatsi
    • Design the world you want to live in. 1. As information architects, data is our raw material. I think it is our responsibility to design the future we want to live it.
    • Thank you for your attention. e/ christopher.rivard@jivesoftware.com t/ @chrisrivard
    • Set in Raleway The League of Moveable Type. https://www.theleagueofmoveabletype.com/
    • Attribution Slide 8 - http://chakanahealing.com/about-chakana/the-chakana-a-universal-symbol/ Slide 12, 13 - http://en.wikipedia.org/wiki/Horse_rings_in_Portland,_Oregon Slide 17 - Apple Computer, Apple.com Slide 20 - http://gearhungry.com/2012/11/jawbone-up-2012.html Slide 21 - Fitbit.com Slide 23 - Strava.com Slide 24 - Matthew Mioduszewski Slide 25 - Strava.com Slide 26 - Marquam Nature Park - http://bit.ly/19a0z13 Slide 28 -FACET, http://www.nasa.gov/offices/oct/home/tech_life_facet.html Slide 29 - newrelic.com Slide 35 - Jive Software Slide 36 - Jive Software Slide 37 - Jive Software Slide 41 - ? Slide 42 - http://smallville.wikia.com/wiki/Diana_of_Themyscira Slide 44 - http://pandawhale.com/post/24402/excited-kid-birthday-party-gif Slide 48, 50, 51, 52, 53, 57, 58, 59, 60 - Jive Software Slide 65 Slide 70 All other images - Chris Rivard, Peru 2013
    • References / Resources The Secret Life of Pronouns - James Pennebaker Honest Signals - Alex Sandy Pentland Social Network Analysis for Startups - Maksim Tsvetovat & Alexander Kouznetsov Antifragile - Nassim Nicholas Taleb The Shallows - Nicholas Carr Amy Cuddy - http://www.ted.com/talks/amy_cuddy_your_body_language_shapes_who_you_are.html The Machine in the Garden - Leo Marx Infinite Jest - David Foster Wallace The Rhetoric and Poetics of Aristotle Thanks to Chris Diehl (@chrisdiehl) and David Gutelius (gutelius) for helping to move the needle ;-)