Fostering Enterprise Conversations Around Data on Collaboration Platforms

TL;DR

This work conducted a co-design study with nine enterprise professionals who use dashboard content to communicate with their colleagues to inform the design of systems that streamline this work process.

Abstract

In enterprise organizations, data-driven decision making processes include the use of business intelligence dashboards and collaborative deliberation on communication platforms such as Slack. However, apart from those in data analyst roles, there is shallow engagement with dashboard content due to insufficient context, poor representation choices, or a lack of access and guidance. Data analysts often need to retarget their dashboard content for those with limited engagement, and this retargeting process often involves switching between different tools. To inform the design of systems that streamline this work process, we conducted a co-design study with nine enterprise professionals who use dashboard content to communicate with their colleagues. We consolidate our findings from the co-design study into a comprehensive demonstration scenario. Using this scenario as a design probe, we interviewed 14 data workers to further develop our design recommendations.

Figures (5)

• Figure 1: A scenario for creating dashboard snapshots based on our co-design workshop finding.
• Figure 2: A scenario for composing, exporting, and disseminating a dashboard snapshot.
• Figure 3: A scenario for setting a snapshot to be automatically updated.
• Figure 4: A scenario for retrieving updates and tracking telemetry information.
• Figure 5: Our high-level design guidelines from the interview study (\ref{['sec:interview']}) rationalize low-level design requirements from the co-design workshop (\ref{['sec:workshop']}), manifested in the demonstration scenario (\ref{['sec:scenario']}).