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In this activity, each member of your group made a poster to market your movie.

Data influenced your poster design, just like it influenced your decision about which movie to produce.

For example, if you found that one of the actors in your movie had a great return on investment, you probably included their picture on your poster.

Knowing that the actor is in the film might make people want to see it even more.

You also used design elements to convey the storyline and tone of your film.

As you can see, you can use data to help make design decisions, too.

Designers collect information about their audiences in order to convey clearer messages and to design products their customers really want.

Designers use lots of methods to improve user experience and to make their work more compelling to audiences.

Data can help designers make their work more attractive to a target demographic, or a particular section of the population.

They collect data from target audiences and ask them questions about what they like best.

They create art, marketing materials, or other products based on the answers they receive from potential users.

Then, they test those designs to see which ones audiences like best.

In the next activity, your group will code a computer program that runs an A-B test.

This test will collect data from users about whether or not the posters you created make people want to see the movie.

This data will help you decide which movie poster is most compelling.

Keep in mind: Data can influence everything -- even art and design!

  • "Cyclist Jersey Design and Marketing Materials" by Nathan Brown ( -- Licensed by CC BY 2.0 ( -- Image scaled up, cropping edges
  • "The Martian" Movie Poster -- Udvar-Hazy Center Chantilly (VA) 2015" by Ron Cogswell ( -- Licensed by CC BY 2.0 (
  • "Split Testing" by Jerry Nihen ( -- Licensed by CC BY 2.0 ( -- Image scaled up, croppnig edges