How frustrated were you the last time you read a film critic’s positive review only to be disappointed when the movie ended?
Do you remember that time you watched a movie recommended by a friend and you suspiciously wondered after watching it why they thought you would like it?
Do you remember the last time you saw a movie with a high Rotten Tomatoes score and you came out disappointed, questioning that score? Or you finished a movie you loved with a low score?
How often do you endlessly scroll Netflix or Hulu movie recommendations looking for one to watch only to be disappointed by the suggestions?
We fellow cinephiles share your pain and we’ve got a solution for us all.
Movie Shapes is not an outright replacement for movie labeling and review systems that already exist. Rotten Tomatoes and other system movie labels can be shorthand ways to evaluate a movie. What we want to understand is, what’s informing why people like a movie or don’t. Why do certain groups gravitate towards certain films while others are repulsed? Why do some people who generally like entirely different movies sometimes find a common ground film? Why do some people like and call a film “bold”?
For example, two people may like a particular suspenseful movie, but why they each like it is for entirely different reasons — one person might like the clarity the story provides and another might like the tension (impact) it builds. Most rating systems fail to distinguish why, hence the many frustrations.
Aside from genre, content, and structure, Movie Shapes simply breaks down the fundamentals of a story and the key aspects that are used when transferring a story into the film medium (or television).
Everyone’s shape for themselves should be pretty different (like fingerprints). Everyone should be able to assess a movie’s shape with loose agreement. But, based on their own shape, they may differ to the degree of the values and how much those values dictate the film’s level of excellence (of failure).
The similarity or difference between your shape and a movie’s shape should help decide whether you’ll like it before watching and your similarity to someone else’s shape will tell you how much you can rely on their ratings of a film. If someone shares your Movie Shape, they’re more likely to recommend movies you would enjoy in the same ways.
The Movie Shapes rating system is a matrix of attributes applied to a viewer and the movies they watch. Think of it in the likes of a personality assessment but this is more of a values test for which aspects of a movie matter most. When the scoring matrix is completed and mapped into a radar chart, we get a Movie Shape.
Explore the values matrix elements below.
These elements are those that are unique to movies (or TV shows).
Think of your movie shapes as fingerprints. They are not worse or better because of their shape. They are unique to you and not intended to create a hierarchy of what’s better or worse among movie watchers.
Explore Profile Creation Instructions Below
To get the full range of Movie Shapes benefits, we recommend completing the full profile using the assessment spreadsheet we've built.
When the 7 movie and audience elements from above are cross-matched, we’re left with 49 attributes for scoring.
The template spreadsheet has all fields defaulted to a score of 3. To make it easier, we recommend picking five cross-sections that you would give a 5 and five cross-sections you would give a 1. Those become your poles to which you can compare as you score the remaining fields. Start moving your cross attribute scores up and down by 1, 0.5, or 0.25 until you have it where you want it and your score is 147 points in total.
When creating your profile, you will use the following scale.
Look at one column (character, for example) and the scores you have for each cell. Adjust your scores based on what feels right or wrong. Once done, go to the next column. Once you’ve finished all the columns, do the same thing but look at the scores by row (Clarity, for example).
Think about your favorite movies. What attribute and cross attribute are the contributing reason as to why you like it?
Look at the column or row tally scores to see if the attributes are scoring the way you expect and want at a higher level. Adjust your individual attributes accordingly.
Look at the shapes radar charts in the different focus points to see if things are “shaping up” the way you expect and want.
Compare two individual attributes with the same score. Increase the score on the one that is more important by 0.25 and decrease the other by 0.25.
After you score yourself initially, revisit it a week later and adjust it. Come back again a month later and adjust again. If your adjustments are getting smaller, you’re moving in the right direction.
With a Movie Shapes profile complete, you can now begin the process of rating movies, sharing with others what you love most, and making relevant recommendations to your friends with profiles.
Explore Movie Evaluation Instructions Below
When rating a movie with the full scoring sheet, there are a few differences to consider compared to scoring your personal preferences.
The movie scoring scale measures how prominent the element is, relative to other elements, within the movie. Ideally, we evaluate a movie’s attribute prominence detached from our own personal profile.
The scoring perspective is also slightly different for the audience attributes. See descriptions below.
The amount of relevance this film's attribute is to me, my interests, my context, my journey, and my future aspirations.
Compared to other films you've seen, how unique is this film in this particular attribute? How different is it from what you've come to expect?
How strong is this film's clarity (uniformity, self-contained, unambiguous) in this attribute?
How strong is the movie's intelectual, emotional, and physiological effect on me in this attribute?
How believable is this film in this attribute, and where it's not, how much does it effectively suspend my disbelief.
How strong is this attribute's depth, interconnectedness, and sophistication?
The degree of importance to which my investment pays off. The continued value of rewatches. The strength in the attribute's prevalence to allow for my own interpretation versus dictating one on me.
Frustrated by the limitations of traditional movie reviews and recommendation systems and inspired at the onset of the pandemic, Addison Williams and Jason Scott Montoya explored several ideas on how to address this problem.
Addison translated their related email thread into a spreadsheet scoring system. Jason reviewed and made an upgraded version. Together they continued to workshop it into Movie Shapes.
Meet the creators, explore their Movie Shapes profile, and visit their recommended links.
Addison Blu Williams is a comedy screenwriter, Special Operations combat veteran, former professional gamer, musician, member of Mensa, and an entrepreneur.
On his blog, He shares stories and systems to live better and work smarter. Jason lives with his wonderful wife and five cherished children in the Atlanta, Georgia area.