Web 2.0 Expo à New York selon Benoît Meunier

Web 2.0 à New York, début de la fin.

Je remercie mes deux amies, mes exploratrices, Geneviève Lamy et Julie Lemonde. pour m’avoir accompagné dans cette aventure aux confins de Web dit «2.0».

Je remercie aussi Tim O’Reilly pour avoir tenu cette conférence, pour avoir rassemblé des gurus, des cerveaux, des phénomènes et beaucoup d’autres ressources pertinentes autour d’un même sujet: l’être humain. Dans cette ère numérique, l’humain reprends sa place sociale. Il reprend en main ce qu’il l’a façonné, il reprend sa place dans la communauté.

Inspiré, mieux outillé et bien accompagné, je peux confirmer qu’une autre étape s’annonce. Une belle étape.

Prochaines rencontres: Content Matters

Tout ses gurus à la même table? Liz Danzico, Jeffrey Zeldman, Alex Wright, Kristina Halvorson, Paul Ford, Bre Pettis  Wow.

De quoi parleras-t-on?

Web copy has advanced to one of the most central parts of a user’s experience. Copy, not rounded corners and gradients, are what makes for an interface that’s usable and useful. If copy is the interface, then what does this mean for user experience professionals? Should we throw out our process? Hire more writers? How do we approach developing content as a crucial component of interface design? Hear from a panel of experts designing today’s top-notch sites how to pay attention to words—from guide copy to user comments to navigation labels—so you can improve the user experience for everyone.

Prochaine rencontre: Hitting Them Where They Live: The Emergence of Local Online Advertising

Pour un amateur de Praized, fans de son iPhone et propriétaire de plusieurs portails locaux:

A lively debate and discussion on the different elements of local online advertising: What is it? Who are the players? How is it an exciting marketplace? Why should advertisers care about it?
Hear the differing viewpoints and approaches from success stories to disasters.

Prochaine rencontre: The Ecosystem of Corporate and Social DataHmmm?

Hmmm?

Interpreting corporate data can help us understand a huge range of subjects including political impact, environmental concerns, investment decisions, ethical issues, and improving sales processes. Previously the time and energy required to collect and interpret this data was beyond the reach of most individuals and even corporations found it difficult to justify the investment in a data-driven approach.

[Why Do Web Sites All Look Alike?] Aucunes réponses.

La qualité du contenu des premières cinq minutes et la vivacité du présenteur (Dave Wolf ) nous donnais confiance. Nous étions bien parti. Par exemple, comparez le visuel de a page d’accueil de: www.plaxo.net et de www.linkedin.com. Bon, maintenant pourquoi? La salle était bondée, nous attendions des réponses.

Pas de réponses.

En designer qui nous montre son travail et dénigre ceux des autres ne donne jamais de réponses. Pire, il est impossible de dicerner la trame qui soutient ses idées. Décevant.

Prochaine rencontre: Why Do Web Sites All Look Alike? Escaping Web 2.0 Design ConformityCesom

Ce sommaire dit tout:

With a myriad of bite size applications that exist with open APIs, we still see applications that rely on form pushing and list generation interaction models. Delivering experiences beyond forms and lists requires new thinking, design, and technologies that innovate user interactions and visualize data efficiently, with no compromise in performance. Rich Internet Applications (RIAs) aim to deliver high fidelity experiences through the use of new tools and technologies on multiple channels such as web, mobile, and out-of-home applications. What are these new tools and technologies, what are considerations of appropriate usage, and what do RIAs look like?

[Measuring ROI around Web 2.0]: Measurement comes in many flavors

Immediate Online DataPage views

• Conversion
• Click Throughs
• # of Profiled User
• Depth of participation
• SEO Results
• # Incoming Links

• Trust Scores / CUSAT
• Sales
• Loyalty (repeat buys)
• Support Costs
• Productivity

• Who are your fans?
• Demographic Info from profiles
• What topis moves people
• Can it make product/promotion decision
• What do people tell us about themselves?

• The ability to ask an audience a question cheaply
• Test Products/Concepts