Say it like this
- We need a more data-driven approach to this problem.
- That decision should be data-driven, not based on opinion.
- Let's be data-driven about which features to build next.
Use it at work
Making a decision
- Let's be data-driven here. What do the numbers say?
- I'd like a data-driven case before we rebuild this.
In an interview
- I'm a data-driven PM. I check metrics before I prioritize.
- How data-driven is the team's roadmap?
Pushing back
- The data is too small to be data-driven yet.
- Data-driven doesn't mean we ignore user feedback.
Don't say this
Data-driven is an adjective describing a method or approach, not a verb you can conjugate or perform as an action.
Practice
Try it
4 quick exercises
1. Your manager asks how you decided which feature to prioritize. What do you say?
2. Our company prides itself on being _______ in all major product decisions.
3. Which sentence uses 'data-driven' incorrectly?
4. Rewrite this in natural tech English using 'data-driven': 'We looked at numbers before we decided which users to target.'
Say it out loud
Phrase 1 of 3
"We need a more data-driven approach to this problem."
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More about data-driven
Real examples(3)
- in a standup
"Based on our analytics, we should pursue a data-driven strategy for the next sprint rather than guessing which features users want most."
- in a code review
"The performance improvements in this PR are data-driven. We benchmarked before and after and saw a 25% improvement."
- in a team meeting
"Our data-driven experiments show that users prefer the simpler onboarding flow, so we will ship that version next week."
More mistakes(2)
Handle with care. Do not use as a verb (e.g., 'we data-driven the analysis' is incorrect). It is an adjective that describes an approach or decision based on facts, not an action you perform.
- ✕This is a very data-driven feature.✓We made a data-driven decision to build this feature.
A feature itself is not data-driven; rather, the decision to build it should be based on data. The approach is data-driven, not the outcome.
- ✕We are data-driven company.✓We're a data-driven company.
Other forms(2)
- data-driven adjective
"A data-driven culture encourages teams to rely on metrics and evidence."
- data-drivenness (noun form for the quality) adverb
"The company values data-drivenness in all decision-making processes."
Often used with(4)
- data-driven decision · The most common pairing; describes a choice made based on facts and analysis.
- data-driven approach · Describes a method or strategy that relies on evidence and metrics.
- data-driven culture · Describes an organizational environment where decisions are based on data.
- data-driven insights · Conclusions or learning derived from analyzing data and metrics.
Similar words(3)
- evidence-based · Similar meaning, but evidence-based is slightly broader and includes qualitative evidence; data-driven focuses specifically on numbers and metrics.
- metrics-focused · Emphasizes attention to quantifiable measurements; less common but similar concept.
- fact-based · Broader term; data-driven is more specific to numerical or analytical facts.
Opposites(3)
- intuition-driven
- opinion-based
- gut-feeling approach
Questions(4)
- What does data-driven mean in software engineering?
- Data-driven in software engineering means making decisions based on concrete facts, measurements, and analysis rather than assumptions or personal preference. Engineers and product teams use metrics like performance data, user behavior analytics, error rates, and test results to guide decisions about what to build, how to optimize systems, and which features to prioritize.
- How do you use data-driven in a sentence at work?
- Use data-driven as an adjective to describe a decision, approach, or culture. For example: 'We made a data-driven decision to refactor the API based on performance metrics,' or 'Our product team follows a data-driven methodology.' Never use it as a verb like 'we data-driven the code.'
- Is data-driven formal or informal?
- Data-driven is neutral in formality. It is used in casual standup conversations, formal presentations, and official documentation. It is neither too casual nor overly formal, making it appropriate for most professional tech environments.
- Why is being data-driven important in tech?
- Being data-driven reduces bias, increases confidence in decisions, and typically leads to better outcomes. Instead of debating opinions, teams can point to evidence. This is especially valued in startups and large tech companies where resources are limited and decisions must be justified.
