Designing Effective Search and Discovery Experiences for the Enterprise, Using the Language of Discovery
The oncoming tidal wave of Big Data, with its rapidly evolving ecosystem of multi-channel information saturated environments and services, brings profound challenges and opportunities for the design of effective user experiences that UX practitioners are just beginning to engage with in a meaningful fashion. In this coming Age of Insight, 'discovery' is not only the purview of specialized Data Scientists who create exotic visualizations of massive data sets, it is a fundamental category of human activity that is essential to everyday interactions between people, resources, and environments. Search is the gateway to discovery, and thus is indispensable as a capability.
To provide architects and designers with an effective starting point for creating satisfying search and discovery experiences this session presents a simple analytical and generative vocabulary for understanding how people conduct the broad range of discovery activities necessary in the information-permeated enterprise, and defining the search experiences they need.
Specifically, this session will present:
A simple, research-derived language for describing search and discovery needs and activities that spans domains, environments, media, and user types
Observed and reusable patterns of discovery activities in individual and collaborative settings
A practical model that defines actionable patterns of information engagement throughout the enterprise
Examples of the architecture of successful discovery experiences at small and large scales
A vocabulary and perspective for discovery as a critical individual and organizational capability
Guidance on using this vocabulary to drive large scale IT portfolio management as well as the design of individual search solutions