LECTURE 2 - GOALS

Barrie Robison

2024-08-29

Goals in Data-Driven Communication

1. Overarching Goals (Long-term Objectives)

  • Career Advancement: e.g., Landing a job, securing a promotion
  • Business Development: e.g., Selling a product, gaining investors
  • Policy Change: e.g., Influencing legislation, changing organizational policies
  • Relationship Building: e.g., Establishing partnerships, improving client relations
  • Reputation Enhancement: e.g., Establishing thought leadership, building credibility

2. Communication-Specific Goals (Immediate Objectives)

  • Inform: Present data to increase understanding or awareness
  • Educate: Teach concepts or skills related to the data
  • Persuade: Use data to convince the audience of a particular viewpoint
  • Motivate: Inspire action based on the data presented
  • Decision Support: Provide data to aid in decision-making processes
  • Problem-Solving: Present data to help identify solutions to issues
  • Compliance: Fulfill regulatory or organizational reporting requirements

3. Audience-Centric Goals

  • Address Needs: Satisfy the audience’s information requirements
  • Answer Questions: Provide data-driven responses to specific queries
  • Challenge Perceptions: Use data to question existing beliefs or assumptions
  • Facilitate Discussion: Present data as a starting point for dialogue
  • Empower: Equip the audience with data for their own use or analysis

4. Data-Specific Goals

  • Clarity: Ensure complex data is understood accurately
  • Engagement: Make data interesting and relevant to the audience
  • Memorability: Present data in a way that’s easy to remember and recall
  • Action-Oriented: Transform data insights into actionable steps
  • Transparency: Provide clear information about data sources and methods

5. Presentation Goals

  • Time Management: Convey key information within the allotted time
  • Visual Appeal: Create aesthetically pleasing data visualizations
  • Interactivity: Engage the audience through participatory data exploration
  • Accessibility: Ensure the data presentation is inclusive and understandable to all audience members