Sunday, 9 March 2008 - 10:00AM
Abstract:
In this highly interactive session, the panelists will work together with the audience to co-create the next generation of metrics for engagement and interaction. We start with fun paradoxes of user behavior, exposing the systematic irrationalities of human decision making, and show their fundamental impact on designing interactions and incentives. We then present metrics and methodologies used by companies to engage and entice users to contribute data through interactions with the site (e.g., Amazon.com) and with each other (e.g., Facebook):. Create strong and weak virality: Leverage the latest insights into viral engagement and corresponding metrics;
. Model users in a scientific way: Do wild experiments and learn fast from results;
. Engineer for feedback: Nail the incentives and interactions for both implicitly captured and explicitly expressed feedback.This session is about co-creation. We provide the framework and start you off, and you provide the fuel to take the group to areas where nobody has been before. Please contribute your examples, and let us co-create the key ingredients for the next generation of relevant metrics for engagement and interaction that will help you reach your goal of getting passionate users.
Andreas Weigend - Principal, People & Data [blog]
Ming Yeow Ng - Discoverio
[link to the presentation? - these notes are still very raw]
1. focus on designing interaction )people
2 build experiment and measeure
3 Give uer metrics of user standing
help user to decide
economic framework
From participation to interaction
What type of interactions are you building today?
Early metrics came from print analogies (e.g., copies shipped), but they do not measure engagement very well.
metric must be for users to enhance interaction. they want to measure themselves/progress/evaluations. all of them must be positive. example: Yelp
This talk is going to cause some heated discussion
LinkedIn’s concept of completeness is a way to get people to want to interact.
GetSatisfaction.com
see NYT article - On the Internet, Everyone Can Hear you Complain
reciprocity has a lot of power for people - if you make reciprocity lightweight then it will happen. this applies to rating, evaluating, buying, etc.
mybloglog
risks:
Twitter succeeded because it allowed us to do what we wanted to do all along (tell the world what we are up to) without pissing everyone off.
a heavyweight commitment can actually pull people toward the light interaction rather than the null interaction. (Zoosk)
Problem: Those people who want always want to get attention from those who have. Creating currencies carves out time for the have nots if they save up.
example: ebay reputation system
Xobni: currency-based mail communication
discovery is the new cocaine - it is addictive
Etsy - check out how they allow you to explore/discover
Digg - user-ased vs. homepage discovery
Apache Social Network
Facebook strength: allowing adhoc conversation to happen about anything

