Telling Stories with Data in 3 Steps (Quick Study)

B2
90 min
Free
1

Think about these questions before watching. Share your ideas with a partner.

  1. When you need to explain something complicated, like a new technology or a complex report, what strategies do you usually use to make sure your audience understands and stays interested?
  2. Beyond entertainment, where else do you see the power of storytelling? For example, in advertising, news, or even explaining scientific concepts. How does a good story make a difference?
  3. Many people find raw data or statistics difficult to interpret. What techniques or approaches do you think are most effective for making complex data accessible and interesting to a general audience?
2

Watch the video carefully. Pay attention to the main ideas and key details.

Video script135 segments · click a timestamp to jump

SCOTT BERINATO: With data.

Everybody's doing it, right?

You're not doing it?

You should be doing it.

You've been told you should be doing it.

Storytelling with data is the big thing.

[MUSIC PLAYING]

Well, it turns out you should be doing storytelling with data,

but it's a lot easier than you probably think it is.

Once you know the three elements of a story, setup, conflict,

resolution, you can start telling stories with your data.

Setup conflict resolution.

Every story ever told from the beginning of time

follows this structure.

It's really that simple.

Setup.

Charlie Brown runs toward the ball.

Conflict.

Lucy takes the ball away at the last second.

Resolution?

Ah!

And a setup is just some reality.

And by reality, we just mean a situation.

It could be fictional, but it's a reality

you've created for the story.

And then you have conflict, which has changed that reality.

Without change, there is no story.

You just have a bored audience.

The resolution is just the new reality

that the change creates.

So with that in place, we can now take a chart,

and we're going to break it down, pull it apart, find

the stories in it, find the setups,

the conflicts, the resolutions, and we're

going to rebuild it as a storytelling device.

[MUSIC PLAYING]

OK.

Now we're back with a chart.

This is Global Real Home Price Index.

The index is 100 and you see a bunch of lines for countries.

There's a gray line in there.

That's the aggregate as well.

This chart is really showing home prices

in a lot of different places in the world,

and that's where I'm starting.

So, I want to find the stories in here.

And the first thing I start to notice, really,

are a couple of things.

I obviously noticed that big hump on the green line there.

That's Japan.

And I noticed that point where everything comes together.

To me, that immediately says those are probably

two places where there's conflict,

but I realized something as I'm looking at this,

and I'm glad I did, because otherwise,

I would have had the wrong story.

And that is that these home prices are indexed to 2005.

So, the fact they come together there at 2005

doesn't mean the prices came together.

That just means those are the dollars

that the people who made the chart

used to show the change in house prices over time.

So, there's really no conflict there.

And in fact, I think that's my setup.

That's where we start, because that's where they started.

I can still tell those two stories on the left

and on the right, but I start there

instead of at the beginning of the chart.

I can look backward and say, home prices rose steadily

in most places in the world for 30 years

except for in Japan, which experienced

a three decade long bubble, and that is a perfectly good story.

The setup is home prices rose steadily in most places,

except in Japan, which is the conflict.

And the resolution?

It experienced this 30 year bubble.

And then working from 2005 to the right,

I have another story, which is that there was a smaller house

bubble, housing price bubble in most places except Japan.

So now, the story has flipped, but something different

happened this time, and that is that the market's bifurcated.

And you ended up with three markets, Australia, Canada,

and New Zealand rising again, looking

much like a bubble, and the rest falling

and then rising back to about 2005 levels.

So, I've really started to see a couple of stories emerge here.

One, both starting in 2005, because that's

where our prices start, and one sort

of working backward in time, and one working forward in time.

[MUSIC PLAYING]

OK, so I'm going to spare you most of my sketching

because it's so messy and chaotic,

it probably would just give you a headache.

But I did a bunch of sketching, and I

arrived at these final charts.

And I've split the chart up into a couple of states.

It really helps your audience focus.

So, here's my setup.

You can see it.

Prices rose steadily in most places in the world.

I try to use my titles to actually reflect the story

and hear.

The steady increase reflects that setup.

Instead of just using a generic title about global real home

prices, which is boring and not helpful,

the title can really do some work for me here.

And then, I want to add the conflict and resolution

state, too.

There it is.

You can see we've added Japan, Except in Japan in the title,

and that conflict and resolution becomes clear

that Japan was this bubble that lasted 30 years that was

different than everywhere else.

And you can see as I present this, it almost looks seamless,

as if I'm just showing you one chart that changes state.

So then I'm just going to repeat this process for going forward.

And you see here, I've included my setup, conflict,

and resolution altogether in one state.

You see that little bubble and then

you see the bifurcation of the market.

But the most important thing is, I've really

highlighted the elements of the story

in both cases and nothing else.

I've left out any information that might distract

from telling that story.

I've not focused on anything that

doesn't matter to telling that simple story of setup,

conflict, and resolution.

Narrative is the most powerful, most human tool

we have to communicate.

If you can apply storytelling to your data,

it creates an emotional connection with the audience.

They're not only going to believe what you show them,

they're going to feel it.

[MUSIC PLAYING]

3

Answer these questions in your own words. Support your answers with evidence from the video.

01According to the speaker, what are the three essential elements of any story, and how does he define each one?
Sample answerThe speaker says every story has a setup, a conflict, and a resolution. He defines the setup as the initial reality or situation, the conflict as what changes that reality, and the resolution as the new reality created by that change.
02When first analyzing the Global Real Home Price Index chart, what did the speaker initially think was a point of conflict, and why did he realize he was mistaken?
Sample answerHe initially thought that the point in 2005 where all the lines on the chart came together indicated a conflict. However, he realized he was mistaken because 2005 was simply the year the home prices were indexed to, meaning it was a starting reference point, not an actual event where prices converged.
03How does the speaker use Japan's housing market experience to illustrate the 'conflict' in the first story he identifies from the data?
Sample answerIn the first story, the setup is that home prices rose steadily in most parts of the world for 30 years. The conflict is Japan, which went against this general trend by experiencing a three-decade-long housing bubble, making its situation different from the global pattern.
04Beyond identifying the setup, conflict, and resolution, what specific advice does the speaker give for visually presenting data to make a story clear and engaging for an audience?
Sample answerHe advises splitting the chart into different 'states' to help the audience focus on each part of the story. He also suggests using titles that reflect the actual story, rather than generic ones, and to only highlight information that is relevant to the story, leaving out anything that might distract.
4

Decide if each statement is true or false. Correct the false ones.

01The speaker states that every story ever told, from the beginning of time, follows the structure of setup, conflict, and resolution.
02In the video, 'conflict' is defined as a new reality that is created by a change in the original situation.
03When analyzing the Global Real Home Price Index, the speaker decided to start telling stories from the year 2005 because the home prices were indexed to that year.
04For the story working forward from 2005, the video explains that the market bifurcated, with Australia, Canada, and New Zealand experiencing another bubble-like rise, while other markets fell and then recovered to around 2005 levels.
05The speaker advises using generic titles for charts, such as 'Global Real Home Prices', to ensure the audience is not distracted by too much information.
5

Vocabulary

Vocabulary
These expressions will help you communicate more naturally about this topic.
identify trends — to recognize general directions or patterns of change in data over time.
This phrase is commonly used in business, economics, and academic contexts when analyzing data. You can also "spot trends" or "observe trends."
interpret data — to explain the meaning of information, especially from charts, graphs, or statistics.
This is a crucial step in data analysis. You often "interpret data as" meaning something, or "interpret the findings."
draw conclusions — to reach a decision or form an opinion after considering all the available information or evidence.
This is a common collocation. You "draw conclusions from" your research, observations, or the data presented in the video.
a significant shift — a noticeable and important change in a situation, opinion, or trend.
This phrase emphasizes the importance of a change. It can describe changes in data (e.g., "a significant shift in prices") or broader contexts (e.g., "a significant shift in public opinion").
present a compelling narrative — to tell a story or explain a series of events in a way that is very interesting, persuasive, and captures the audience's attention.
This phrase is often used in business, marketing, or journalism when you want to make information engaging and memorable. A "compelling" story makes people want to know more.
6

Matching: telling stories with data

To effectively communicate insights from data, it's crucial to use precise language. Match the sentence halves to complete common phrases and ideas related to data analysis and storytelling.

Match each item on the left with the correct item on the right.

Drag or click to match
Definitions
7

Complete the sentences with words from the box. One word is extra.

Word bank
01To truly understand the market, one must be able to from complex datasets.
02A key skill for any data scientist is the ability to effectively and communicate its meaning.
03Based on the recent survey results, we can that customer satisfaction has improved.
04The new policy represents in the company's approach to employee benefits.
05Beyond the numbers, the best analysts can that explains the 'why' behind the data.
8

Grammar: Mixed conditionals

Grammar
Mixed conditionals combine different types of conditional clauses to express hypothetical situations where the timeframes of the condition and the result are different. This is useful when discussing how past events have an impact on the present, or how a present condition might have affected the past, which is often relevant when interpreting data.
If the home prices hadn't been indexed to 2005, we wouldn't be misinterpreting the data now.
This is a Type 3/2 mixed conditional: a past condition (not indexed) has a present result (not misinterpreting).
If the analyst were more careful with the data, he wouldn't have made that initial assumption about the conflict.
This is a Type 2/3 mixed conditional: a present condition (being careful) would have changed a past action (making an assumption).
If the video didn't explain the indexing, we would have misunderstood the chart's setup completely.
Here, a present general truth or condition (the video explains) affects a past hypothetical outcome (misunderstanding).
  • Mixed conditionals combine different timeframes in the 'if' clause and the main clause.
  • Type 3/2: 'If + past perfect (past condition), would/could/might + base verb (present result).'
  • Type 2/3: 'If + simple past (present condition), would/could/might + have + past participle (past result).'
01The team didn't identify the early warning signs in the data. As a result, they don't understand the current market volatility.
Use a mixed conditional (past condition, present result).
Hint: Think about how a past action (identifying signs) affects a present situation (understanding volatility).
02The presenter misinterpreted the historical data. That's why the audience isn't convinced by his current explanation.
Use a mixed conditional (past condition, present result).
Hint: Consider the negative form for the past condition.
03They didn't draw accurate conclusions from the initial report. Consequently, their strategy isn't effective today.
Use a mixed conditional (past condition, present result).
Hint: The past action (drawing conclusions) has a direct impact on the present state (strategy effectiveness).
04We failed to notice a significant shift in user engagement last quarter. Because of this, our product development is not aligned with user needs now.
Use a mixed conditional (past condition, present result).
Hint: Focus on what would be different in the present if the past action had been different.
05The video didn't explain the concept of conflict in storytelling clearly enough. Therefore, many viewers are still confused about how to apply it to data.
Use a mixed conditional (past condition, present result).
Hint: The past explanation (or lack thereof) affects the present understanding.
06The data didn't show a dramatic change in the early years. That's why it's difficult to present a compelling narrative about that period now.
Use a mixed conditional (past condition, present result).
Hint: What would be different in the present if the past data had been different?
10

Telling stories with data: error correction

The video discusses how to transform data into engaging stories. Read each sentence below, identify the single error, and then write the correct version.

Each sentence contains one error. Find and correct it.

01The video explains that every compelling story, whether fictional or based on data, follows a structure in setup, conflict, and resolution.
Corrected version
The video explains that every compelling story, whether fictional or based on data, follows a structure in of setup, conflict, and resolution.
02If the presenter would have known about the 2005 index, he wouldn't be confused now about the chart's starting point.
Corrected version
If the presenter would have had known about the 2005 index, he wouldn't be confused now about the chart's starting point.
03The market's bifurcation after 2005 represented a significantly shift in global home prices, according to the analysis.
Corrected version
The market's bifurcation after 2005 represented a significantly significant shift in global home prices, according to the analysis.
04To present compelling narrative, it's crucial to highlight only the most relevant data points and avoid distractions.
Corrected version
To present a compelling narrative, it's crucial to highlight only the most relevant data points and avoid distractions.
05The speaker noted that identifying trends are essential for understanding the story behind the numbers in any complex dataset.
Corrected version
The speaker noted that identifying trends are is essential for understanding the story behind the numbers in any complex dataset.
06Before draw conclusions, one must carefully interpret data and consider all possible explanations for the observed patterns.
Corrected version
Before draw drawing conclusions, one must carefully interpret data and consider all possible explanations for the observed patterns.
07Data should present in a way that creates an emotional connection with the audience, making the information more memorable.
Corrected version
Data should present be presented in a way that creates an emotional connection with the audience, making the information more memorable.
08The video demonstrates how to pull out a complex chart to find its underlying stories of setup, conflict, and resolution.
Corrected version
The video demonstrates how to pull out apart a complex chart to find its underlying stories of setup, conflict, and resolution.
11

Useful phrases: Presenting data insights in a meeting

Vocabulary
When you're presenting data, it's not just about numbers; it's about telling a clear, impactful story. These phrases will help you articulate your observations and conclusions effectively in a professional setting, much like the video suggests finding the 'setup, conflict, resolution' in data.
''Looking at this chart, what immediately stands out to me is...'' — This phrase helps you open a discussion by highlighting a key observation.
Register: Neutral. Use this to draw attention to a specific part of the data or a trend you've identified, inviting others to see it too.
''If we interpret this data, it suggests a clear trend towards...'' — Use this to explain the meaning of the data and identify a specific trend.
Register: Neutral to slightly formal. Use when moving from raw numbers to what they actually mean, often followed by an explanation of the trend. Directly uses 'interpret data' and 'identify trends'.
''We're seeing a significant shift here, which I believe is the 'conflict' in our story.'' — This phrase highlights a major change and connects it to the video's narrative concept.
Register: Neutral. Good for pointing out a turning point or a crucial change in the data. Directly uses 'a significant shift' and applies the video's 'conflict' idea.
''Drawing conclusions from these figures, it seems we need to consider...'' — Use this to summarize your findings and lead into a recommendation or further discussion.
Register: Neutral to formal. Use this to transition from data analysis to what actions or considerations should follow. Directly uses 'draw conclusions'.
''To present a compelling narrative, I'd suggest we frame this as...'' — This phrase helps you propose a way to tell the story of the data, using the video's concept.
Register: Neutral to formal. This phrase directly uses 'present a compelling narrative' and encourages thinking about the data as a story, aligning perfectly with the lesson's theme.
''It's interesting to note, however, that while X, Y also seems to be happening.'' — Use this to add nuance, acknowledge complexity, or invite further discussion.
Register: Neutral. Use this to introduce a counterpoint, a subtlety, or another perspective without negating your main point, showing a comprehensive understanding.
12

Telling stories with data in 3 steps (quick study)

The video explores how applying a narrative structure can transform raw data into engaging insights.

Fill in each blank with the correct word from the word bank.

Word bank
To effectively a compelling narrative with data, it's crucial to first trends and then data accurately. The video highlights a simple yet powerful framework: setup, conflict, and resolution. A 'setup' establishes the initial reality, like steady home prices. The 'conflict' introduces , such as a sudden market bubble, which that reality. Finally, the 'resolution' shows the new outcome. By applying this structure, analysts can move beyond simply reporting numbers and instead conclusions that emotionally with their audience.
13

Discuss these questions with a partner. Try to use vocabulary from the lesson.

  1. The video highlights the "setup, conflict, resolution" structure for telling stories with data. Consider a significant event or **a significant shift** in data from your country or a global issue you follow (e.g., economic changes, environmental trends). How could you use this framework to **present a compelling narrative** that helps others **interpret data** and **draw conclusions** more effectively?
  2. The video uses home prices as an example. In your opinion, what types of data or statistics (e.g., health, education, crime rates) are often presented in your country without a clear story, making it difficult for the public to truly **identify trends** or understand their importance? What are the potential risks or benefits of always trying to create a **compelling narrative** around complex data? Is it always a good idea?
  3. Some people argue that simplifying data into a story, while engaging, can sometimes oversimplify complex issues or even manipulate public opinion. Do you agree or disagree? When trying to **identify trends** and explain **a significant shift** in data, what ethical responsibilities do presenters have to ensure their **compelling narrative** doesn't distort the truth?