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The Power of Data Stories: Communicate, Engage, and Persuade – in company training

This training is designed to equip participants with the essential knowledge and skills to transform data into compelling stories.

Each module builds progressively on the previous one, ensuring a smooth journey from understanding the basics to mastering advanced techniques in data storytelling and presentation.

Participants will leave with the confidence and tools needed to create, refine, and present data stories that drive decisions and resonate with their audiences.

The Power of Data Stories: Communicate, Engage, and Persuade – in company training

budowanie_zaangażowanych_zespołow

This training is designed to equip participants with the essential knowledge and skills to transform data into compelling stories.

Each module builds progressively on the previous one, ensuring a smooth journey from understanding the basics to mastering advanced techniques in data storytelling and presentation.

Participants will leave with the confidence and tools needed to create, refine, and present data stories that drive decisions and resonate with their audiences.

Aims & benefits

Training objectives and what the participants will learn in terms of knowledge and skills:

  • Understand the fundamentals: Grasp the essential components of data storytelling, including the integration of data, narrative, and visuals.
  • Tailor stories to the audience: Develop the ability to analyze and adapt data stories to meet the needs and expectations of different audience segments.
  • Craft compelling narratives: Learn how to structure and create clear, engaging narratives from data using frameworks like ABT and SCQA.
  • Design effective visualizations: Gain skills in selecting and designing appropriate data visualizations that effectively communicate key insights.
  • Deliver engaging presentations: Master the techniques for refining, presenting, and communicating data stories in a compelling and impactful manner.

Training methodology:

The training employs a hands-on, interactive approach combining theoretical instruction with practical exercises. Participants will engage in group discussions, analyze real-world case studies, and work on various exercises that reinforce learning by applying concepts directly to data storytelling scenarios.

Peer (and trainer’s) feedback and iterative refinement are integral parts of the process, ensuring that participants not only understand the material but also develop the skills needed to create and present compelling data stories effectively.

Agenda

Module 1: Introduction to Data Storytelling

  • Objective: Grasp the basics of data storytelling and its importance.
  • Content:
    • What is Data Storytelling?: Introduction to the concept and its significance in communication and decision-making.
    • Data as the foundation: Extracting data-based insights to build your story.
    • Core components: Understanding the integration of data, narrative, and visuals.
    • Insight
    • Real-world examples: Brief case studies demonstrating successful data stories.
  • Models and structures:
    • Data-Narrative-Visual framework: Introduction to the fundamental structure of data storytelling.
  • Exercise (example): Breaking down a data story
    • Description: Participants will analyze a simple data story to identify and discuss its core components: data, narrative, and visuals.

Module 2: Audience-centric storytelling

  • Objective: Learn how to tailor your data story for different audiences.
  • Content:
    • Audience analysis: Techniques for understanding audience needs and knowledge levels.
    • Customizing the message: How to adjust your story for different stakeholders.
  • Models and structures:
    • Empathy Map: A tool to visualize and understand the audience’s perspective.
  • Exercise (example): Know your audience
    • Description: Participants will create audience profiles and tailor a data story’s key message and narrative to fit the specific needs and expectations of different audience segments.

Module 3: Crafting a compelling narrative

  • Objective: Master the creation of a clear, engaging narrative from data.
  • Content:
    • Narrative structure: Building a story with a logical flow and a strong key message.
    • Connecting data points: Techniques for weaving data into a coherent story.
  • Models and structures:
    • SCQA (Situation, Complication, Question, Answer): A model for structuring your story to meet audience needs.
    • ABT (And, But, Therefore): A simple framework for narrative construction.
    • The Hero’s Journey: Engaging storytelling by positioning your audience as the hero of the story.
  • Exercise (example): Crafting a clear narrative
    • Description: Participants will use the ABT (And, But, Therefore) framework to structure a compelling narrative from a given data set, focusing on clarity and logical flow.

Module 4: Effective data visualization

  • Objective: Develop skills in creating clear and impactful data visualizations.
  • Content:
    • Choosing the right visuals: Matching data with appropriate visual representations.
    • Design principles: Best practices for designing visuals that are clear, simple, and effective.
  • Models and structures:
    • Chart Chooser Matrix: Guide for selecting the most effective chart types.
    • Gestalt principles: Applying visual perception principles to data visualization.
  • Exercise (example): Visualizing data effectively
    • Description: Participants will choose the appropriate chart type and design a data visualization that clearly conveys the key message from a provided data set.

Module 5: Refinement and feedback

  • Objective: Learn how to refine your story through iteration and feedback.
  • Content:
    • Iterative storytelling: The importance of refining your narrative and visuals.
    • Incorporating feedback: Strategies for effectively using feedback to improve your story.
  • Models and structures:
    • The Feedback loop: A structured process for gathering and applying feedback.
    • Peer review framework: Using peer input to refine and enhance data stories.
  • Exercise (example): Refine and iterate
    • Description: Participants will present their initial data story, receive peer feedback, and then refine their narrative and visuals based on the input received.

Module 6: Presenting and communicating your data story

  • Objective: Acquire skills for delivering your data story effectively.
  • Content:
    • Presentation techniques: Best practices for presenting data stories in a compelling way.
    • Engaging the audience: Methods for maintaining audience interest and ensuring clarity.
  • Models and structures:
    • Delivery triangle: Balancing content, delivery style, and audience interaction.
    • The Minto Pyramid principle: Organizing information logically for maximum impact.
  • Exercise (example): Presenting your data story
    • Description: Participants will deliver their final data story presentation, focusing on engaging the audience and effectively communicating their key message.

Training duration: two days

In case of a one-day training, the above content of the training will be adjusted accordingly.

Module 1: Introduction to Data Storytelling

  • Objective: Grasp the basics of data storytelling and its importance.
  • Content:
    • What is Data Storytelling?: Introduction to the concept and its significance in communication and decision-making.
    • Data as the foundation: Extracting data-based insights to build your story.
    • Core components: Understanding the integration of data, narrative, and visuals.
    • Insight
    • Real-world examples: Brief case studies demonstrating successful data stories.
  • Models and structures:
    • Data-Narrative-Visual framework: Introduction to the fundamental structure of data storytelling.
  • Exercise (example): Breaking down a data story
    • Description: Participants will analyze a simple data story to identify and discuss its core components: data, narrative, and visuals.

Module 2: Audience-centric storytelling

  • Objective: Learn how to tailor your data story for different audiences.
  • Content:
    • Audience analysis: Techniques for understanding audience needs and knowledge levels.
    • Customizing the message: How to adjust your story for different stakeholders.
  • Models and structures:
    • Empathy Map: A tool to visualize and understand the audience’s perspective.
  • Exercise (example): Know your audience
    • Description: Participants will create audience profiles and tailor a data story’s key message and narrative to fit the specific needs and expectations of different audience segments.

Module 3: Crafting a compelling narrative

  • Objective: Master the creation of a clear, engaging narrative from data.
  • Content:
    • Narrative structure: Building a story with a logical flow and a strong key message.
    • Connecting data points: Techniques for weaving data into a coherent story.
  • Models and structures:
    • SCQA (Situation, Complication, Question, Answer): A model for structuring your story to meet audience needs.
    • ABT (And, But, Therefore): A simple framework for narrative construction.
    • The Hero’s Journey: Engaging storytelling by positioning your audience as the hero of the story.
  • Exercise (example): Crafting a clear narrative
    • Description: Participants will use the ABT (And, But, Therefore) framework to structure a compelling narrative from a given data set, focusing on clarity and logical flow.

Module 4: Effective data visualization

  • Objective: Develop skills in creating clear and impactful data visualizations.
  • Content:
    • Choosing the right visuals: Matching data with appropriate visual representations.
    • Design principles: Best practices for designing visuals that are clear, simple, and effective.
  • Models and structures:
    • Chart Chooser Matrix: Guide for selecting the most effective chart types.
    • Gestalt principles: Applying visual perception principles to data visualization.
  • Exercise (example): Visualizing data effectively
    • Description: Participants will choose the appropriate chart type and design a data visualization that clearly conveys the key message from a provided data set.

Module 5: Refinement and feedback

  • Objective: Learn how to refine your story through iteration and feedback.
  • Content:
    • Iterative storytelling: The importance of refining your narrative and visuals.
    • Incorporating feedback: Strategies for effectively using feedback to improve your story.
  • Models and structures:
    • The Feedback loop: A structured process for gathering and applying feedback.
    • Peer review framework: Using peer input to refine and enhance data stories.
  • Exercise (example): Refine and iterate
    • Description: Participants will present their initial data story, receive peer feedback, and then refine their narrative and visuals based on the input received.

Module 6: Presenting and communicating your data story

  • Objective: Acquire skills for delivering your data story effectively.
  • Content:
    • Presentation techniques: Best practices for presenting data stories in a compelling way.
    • Engaging the audience: Methods for maintaining audience interest and ensuring clarity.
  • Models and structures:
    • Delivery triangle: Balancing content, delivery style, and audience interaction.
    • The Minto Pyramid principle: Organizing information logically for maximum impact.
  • Exercise (example): Presenting your data story
    • Description: Participants will deliver their final data story presentation, focusing on engaging the audience and effectively communicating their key message.

Training duration: two days

In case of a one-day training, the above content of the training will be adjusted accordingly.

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Experts

THE TRAINING METHODS

Activity Based Learning

The training follows the Kolb cycle and the ABL method (Activity Based Learning).

Workshops

Participants take part in activating exercises preceded by the necessary theoretical introduction.

Feedback

Participants have the opportunity to self-diagnose and receive feedback from the trainer.

Full activation

The trainer presents knowledge using 3 channels of information transfer - sight, movement, hearing.

Discussion

Discussion panel, group and individual exercises, presentation, role playing, case studies and review films.

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Clients

Organizational informations

How do we prepare our training projects?

Analysing your training needs

Verification of your training aims

Creating a training programme

Logical & administrative settings

Realization of the project

5 reasons you should pick our training:

1. Based on deeply analyse of your training needs, we will recommend you best trainer and programme offer.

2. Through the whole project, there’s gonna be an account manager to take care of your needs.

3. Participants will get all the necessary training materials in very attractive form.

4. We guarantee using variety of training methods through the whole project.

5. Your project will be closed with after training report containing evaluation and reccomendations for the future.

best quality guaranteed

We will adapt the programme to your needs!

Have questions?

Contact us:

18 Widok St, Apt 2,
00-023 Warsaw

(22) 224 21 95

603 906 655

biuro@humanskills.pl

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