Story Centered Learning
Read icons
Grouping words
Using 'and' in search
Filtering by answers
Compare stories
Reading Wordtrees
Color Wordtrees

You searched for all stories that contained the words listed under "selected filters" below. This retrieved 300 stories.

How to interpret the icons:
Adults are more likely to talk about "income generating" projects, and women over 30 are even more likely than men. Everyone is positive. You can add more words to further define what kind of projects they are so positive about.

(Benchmarked against all stories we've ever collected)



(within this story collection, not benchmarked)

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Processing messages:


(Narratives and answers to any associated survey questions)

Why use benchmarks?
By now you probably noticed that the size and color of icons are pre-adjusted or "benchmarked" against a reference data point. By default the reference is "all other data we've ever collected" but you can customize that benchmark to be something specific and logical to your question.

Benchmarks are important! This is what raw data from a typical collection would look like without benchmarking:

First, everything is green. People are 10 to 20 times more likely to be positive in stories than negative, depending on how they were prompted. Second, the results now emphasize the unevenness of the sample across age and gender. Like the positive story bias, this uneven sample is nearly always present in data. Instead of throwing out all of the data, we display results weighted against a large reference sample, so that any collection of randomly selected stories will look like this:

Every icon is yellow (neutral) and medium-sized, because they are a representative sample. If you asked 100 people to participate, this would be the breakdown of who responds, based on asking over 60,000 people so far. But if you wanted the benchmark to be 100% women, you can select that with "compare" tool, explained later.

Using quotes to search for phrases

You searched for "income generating".

Notice that putting quotes around two words narrows the number of stories that appear in your collection. However, a more powerful and flexible way to search for stories is you put a bunch of words inside parentheses, like ("income generating" "start business") instead of None.

The search engine will include stories that have any one of these words inside the parentheses.

Try searching for

("income generating" "start business")

by typing it into the search box as shown: