Scientist to Storyteller: How to Narrate Data #sci2story

Notes from a great session at SXSW on telling stories with data. I've been to a lot of sessions on data storytelling and this is one of the best.

Embed

  1. Understand your audience: most people cannot focus enough to go through complicated streams of data. 

    Why insights matter: people aren’t won by data but by the anecdote. The anecdote gives meaning to the data. 


    Your job is to read between the lines. Don’t assume patterns. Correlations are complicated.


    Know your audience: Political bias influences how people interpret data. Even with data, biases can cause misinterpretation of data. Dgma makes people blind to the numbers.


  2. In presenting data: 
    1. The larger an object is presented, the faster and more accurately will people understand it. 
    2. Bright colors and contrast tell audiences where to look. 
    3. Control the context: does this seem normal in the context of the data your audience normally sees? Will they rebel or question? 
    4. Use the velcro theory of memory: create more hooks to senses (memory, sound, taste), they will remember.
    5. Change the scene: the space that you present the data can influence how people see and interpret data.
    6. Take abstract numbers and make them concrete.

  3. How to:

    The goal: the perfect soundbite. Quote from Neil DeGrasse Tyson: The output lets you script the soundbites: “A few words that are informative, make you smile, and are so tasty you might want to tell someone else…” NDT

    HOW? Dare to be whole brained. Left/Right brained is a lie. Dare to teach people on multiple levels. 
    Own the insight and make it stick. Its your job to own the date, find an insight and make it memorable. 

    Diversify knowledge. Get multidisciplinary. 


  4. More on this session: 
Like
Share

Share

Facebook
Google+