Telling Stories with Data in 3 Steps (Quick Study)

Think about these questions before watching. Share your ideas with a partner.
- 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?
- 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?
- 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?
Watch the video carefully. Pay attention to the main ideas and key details.
Answer these questions in your own words. Support your answers with evidence from the video.
Decide if each statement is true or false. Correct the false ones.
Vocabulary
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.
Complete the sentences with words from the box. One word is extra.
Grammar: Mixed conditionals
- 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).'
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.
Useful phrases: Presenting data insights in a meeting
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.
Discuss these questions with a partner. Try to use vocabulary from the lesson.
- 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?
- 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?
- 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?