Data Storytelling Language — Presenting Metrics to Stakeholders
Practice structuring data narratives for engineering and business stakeholders.
0 / 14 completed
1 / 14
Which sentence best opens a data-driven presentation to a non-technical audience?
Leading with user impact in plain language engages non-technical audiences before presenting technical data.
2 / 14
You want to show that the deployment caused a spike but recovery was fast. Which structure is most effective?
A complete data narrative covers the anomaly, the response, and the outcome — especially the comparison to SLO.
3 / 14
A colleague says: This chart shows the trend. What additional context improves this statement for stakeholders?
Clear data communication always includes what is being measured, over what period, and how it compares to a reference value.
4 / 14
Which phrase best bridges raw data and business impact?
Bridging metric data to user experience (checkout delays) makes the impact tangible for business stakeholders.
5 / 14
You want to recommend action based on a trend. Which sentence is most appropriate?
Good data recommendations cite the specific metric trend and tie it to a concrete proposed action with a timeline.
6 / 14
// PR Description
```diff
+ Added new feature: User authentication.
- Removed deprecated API endpoint.
```
During a code review, your team lead asks you to elaborate on the metrics related to the user authentication feature. Which of the following phrases would best frame the discussion for stakeholders who aren't deeply technical?
The key here is framing technical changes in terms understandable to non-developers. Option 1 is too minimal; it just describes the code. Option 2 directly connects the feature (authentication) to tangible benefits like security and risk reduction – this is what stakeholders care about. Options 3 and 4 focus on technical details (logins, performance) which are less relevant to a non-technical audience. Effectively communicating data storytelling involves translating technical jargon into business value.
7 / 14
// PR Description
```diff
+ Added new feature: User authentication.
- Removed deprecated API endpoint.
```
During a code review, your team lead asks you to elaborate on the metrics related to the user authentication feature. Which of the following phrases would best frame the discussion for stakeholders who aren't deeply technical?
The key here is framing technical changes in terms understandable to non-developers. Option 1 is too minimal; it just describes the code. Option 2 directly connects the feature (authentication) to tangible benefits like security and risk reduction – this is what stakeholders care about. Options 3 and 4 focus on technical details (logins, performance) which are less relevant to a non-technical audience. Effectively communicating data storytelling involves translating technical jargon into business value.
8 / 14
// PR Description
```diff
+ Added new feature: User authentication.
- Removed deprecated API endpoint.
```
During a code review, your team lead asks you to elaborate on the metrics related to the user authentication feature. Which of the following phrases would best frame the discussion for stakeholders who aren't deeply technical?
The key here is framing technical changes in terms understandable to non-developers. Option 1 is too minimal; it just describes the code. Option 2 directly connects the feature (authentication) to tangible benefits like security and risk reduction – this is what stakeholders care about. Options 3 and 4 focus on technical details (logins, performance) which are less relevant to a non-technical audience. Effectively communicating data storytelling involves translating technical jargon into business value.
9 / 14
// PR Description
```diff
+ Added new feature: User authentication.
- Removed deprecated API endpoint.
```
During a code review, your team lead asks you to elaborate on the metrics related to the user authentication feature. Which of the following phrases would best frame the discussion for stakeholders who aren't deeply technical?
The key here is framing technical changes in terms understandable to non-developers. Option 1 is too minimal; it just describes the code. Option 2 directly connects the feature (authentication) to tangible benefits like security and risk reduction – this is what stakeholders care about. Options 3 and 4 focus on technical details (logins, performance) which are less relevant to a non-technical audience. Effectively communicating data storytelling involves translating technical jargon into business value.
10 / 14
During a standup update, you're discussing the performance of your new recommendation engine. A senior engineer asks: 'Can we quantify the impact?' Which sentence best answers this question and focuses on delivering key insights to the team?
Option A simply states a number without context. Option B is a technical detail, not a metric's impact. Option C combines a key metric (click-through rate) with its business implication – relevance to users. Option D focuses on the implementation details rather than the outcome.
11 / 14
You've built a dashboard showing daily active users (DAU) for your mobile app. In a Slack message to the marketing team, you want to highlight a recent trend. Which of the following statements is most effective at communicating this information clearly and driving action?
Option A is too vague. Option B provides specific details about the trend (steady increase and peak day), which allows for targeted discussion. Option C lacks context and impact. Option D simply directs them to the dashboard without explaining anything.
12 / 14
You're writing a PR description for a change that refactors legacy code. A stakeholder asks: 'What does this change *mean*?' Which phrase best bridges the gap between the technical details and its business value?
Option A focuses solely on the technical aspect. Option B clearly articulates the *why* – reducing technical debt directly translates to benefits like improved maintainability and faster development. Option C is a trivial change. Option D is too high-level and doesn't connect to business outcomes.
13 / 14
Your team has identified a concerning trend: user churn is increasing by 2% month-over-month. During a code review, your manager asks, 'What should we do?' Which sentence best frames this data to recommend action?
Option A is an overly broad technical suggestion. Option B correctly identifies that the data points to a need for investigation – specifically suggesting potential root causes (onboarding, competition). Option C simply acknowledges the problem without offering direction. Option D focuses on troubleshooting rather than strategic action.
14 / 14
You've created a visualization showing server response times over the last quarter. A product manager asks: 'What does this tell us?' Which statement best communicates the insights derived from this data?
Option A simply restates what the chart shows - it's not insightful. Option B interprets the data – highlighting the increase and its potential impact (user experience). Option C is irrelevant to the stakeholder's question. Option D provides a technical detail, not an actionable insight.
What does the "Data Storytelling Language — Presenting Metrics to Stakeholders" exercise practise?
Practice structuring data narratives for engineering and business stakeholders.
How many questions are in this exercise?
This exercise has 14 questions, each multiple-choice with a full explanation shown after you answer.
What English level is this exercise for?
This exercise is tagged Intermediate. If the vocabulary feels difficult, browse the Data Visualization category page for an easier module to start with.
Is this exercise free to use?
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Do I get feedback if I answer incorrectly?
Yes — whichever option you choose, right or wrong, you'll immediately see an explanation clarifying the correct term and why the other options don't fit.
Can I retry this exercise?
Yes — once you finish all the questions, a "Try again" button on the results screen resets the exercise so you can practise as many times as you like.
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Is "Data Storytelling Language — Presenting Metrics to Stakeholders" part of a larger series?
Yes — it's one exercise in the Data Visualization category on CoderSlingo. See the category page for the full list of related exercises on similar terminology.
Can I link directly to this exercise?
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Where can I find more exercises like this one?
See the Data Visualization category page for related exercises, or browse the main Exercises hub for other IT English topics.