Storytelling and Data Visualisation 2600-DMzSWDf
The aim of this course is to develop students' skills in creating engaging marketing narratives based on product data and their visual presentation. Students will learn storytelling techniques, data visualization tools, and how to integrate them into brand communication strategies.
• Introduction
o Course outline
o Assessment criteria
• Creating compelling narratives using data
o The role of storytelling in human evolution (Robin Dunbar).
o The universal hero's journey (Joseph Campbell).
o Sales stories (Michael Bosworth).
o The TED personal story model (Richard Saul Wurman – originator of the TED concept).
o Data-driven storytelling (Cole Nussbaumer Knaflic).
o Tools: Canva, Miro, Mural, Storytelling Canvas.
• Modern copywriting and multi-level purposeful communication
o The neurobiology of communication, reward and trust mechanisms (Antonio Damasio, Hilary Scarlett).
o Cultural Codes in Communication (Clotaire Rapaille).
o Sources of Benefit in Advertising Messages (Claude C. Hopkins).
o Cultural Differences in Communication (Erin Meyer, Geert Hofstede).
o Multi-Level Communication (Friedemann Schulz von Thun).
o Effective Titles and Calls to Action (John Caples).
o Technological Tools Discussed: Jasper.ai, SEMrush, ChatGPT.
• Graphic Composition Supporting Narrative and Data Perception
o Gestalt Principles in Visualization Design (Max Wertheimer, Wolfgang Köhler, Kurt Koffka).
o Heuristics and Cognitive Biases in Data Perception (Daniel Kahneman, Olivier Sibony, Cass R. Sunstein).
o Color Symbolism and Their Impact on Emotions (Eva Heller). o Font Language and Their Impact on Perception (Ellen Lupton).
o Best Practices for Data Visualization (Phil Barden, John Caples).
o Technological Tools Discussed: Tableau, Power BI, Datawrapper.
• Building Audience Engagement with Data-Driven Messages
o Emotions and the Emotion Wheel (Robert Plutchik).
o Criteria for the "Stickiness" of Ideas and Data (Chip Heath, Dan Heath).
o Challenger Sale – Setting Challenges in Communication (Matthew Dixon, Brent Adamson).
o Numbers as Emotional Anchors (Chip Heath, Karla Starr).
o Narrative Transport in Data Presentation (Melanie Green, Timothy Brock).
o Technological Tools Discussed: Flourish, Infogram, Mentimeter.
Type of course
Course coordinators
Learning outcomes
Upon completion of the course, the student:
In terms of knowledge:
• K_W01: Know the basic concepts of storytelling and data visualization in marketing.
• K_W03: Possesses at advanced level knowledge of methods for presenting data in narrative and visual forms.
• K_W06: Understands the role of data in building brand and product stories.
In terms of skills:
• K_U06: Can create marketing narratives based on product data.
• K_U07: Can apply data visualization tools in marketing communications.
• K_U08: Can analyze the effectiveness of storytelling and visualization methods.
In terms of social skills:
• K_K02: Critically evaluates the quality of visual and narrative messages and their impact on the recipient.
• K_K04: Demonstrates initiative in creating innovative forms of data presentation and works collaboratively.
• K_K05: Understands the need for continuous improvement of competences in the field of storytelling and data visualization.
Assessment criteria
Learning outcomes will be verified on an ongoing basis through tasks performed by participants during classes and, at the end, through project presentations.
Assessment/graded credit
• Class attendance 30%
• Class participation 30%
• Group project preparation 40%
Practical placement
Internship is not required to complete the course
Bibliography
Basic bibliography:
• Heath, C., Starr, K. (2022). Liczby się liczą. Data storytelling, czyli jak opowiadać o danych. Warszawa: MT Biznes.
Additional bibliography:
• Campbell, J. (2008). Bohater o tysiącu twarzy. Poznań: Zysk i S-ka.
• Barden, P. (2024). Odkoduj. Pułapki myślenia w biznesie. Jak ekonomia behawioralna wpływa na wybory klientów. Warszawa: MT Biznes
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: