Table of Contents
Quick Answer
The fastest way to upgrade your resume.
If you want your research resume to stand out, you must eliminate weak, passive phrases like "Looked into" and "Did research on".
Instead, use powerful, analytical action verbs like Investigated, Analyzed, Synthesized, and Evaluated. These words show methodological rigor and critical thinking. Below, you'll find 150+ action verbs categorized by research competencies, along with 50 real-world resume bullet point examples you can copy today.
Word Profile
What Hiring Managers Look for in Resume Language.
| Target Role | Research Analyst / Scientist / Academic / Data Scientist |
| Key Competencies | Data Collection, Statistical Analysis, Grant Writing, Peer Review, Methodology Design |
| Weak Verbs to Avoid | Looked into, Found, Checked, Helped, Worked on, Did research |
| Ideal Verb Tense | Past tense for previous jobs; Present tense for current role. |
| ATS Optimization | High Impact |
Why Replace Weak Verbs?
The problem with passive language on a resume.
Research professionals are hired to uncover truths and drive evidence-based decisions. When you use phrases like "Was responsible for looking into," you are describing a casual inquiry, not scientific rigor. Hiring managers want to know your methodology and impact. Action verbs prove you are a meticulous investigator, not just a curious observer.
The Passive Trap
"Did research on customer behavior."
This tells the recruiter what you did, not how you did it, what data you collected, or what the findings meant for the business.
The Active Fix
"Analyzed behavioral data from 10,000 users, identifying a 15% drop-off point that informed a new UX design."
This shows the dataset, the analytical action, and a quantified business outcome.
Word Grid
A complete visual directory of action verbs. Click any word to explore its definition.
Investigation & Discovery
Analysis & Evaluation
Methodology & Design
Grant & Resource Management
Quality Control & Compliance
Synthesis & Reporting
Data Collection & Experimentation Verbs
When you need to show that you gathered accurate data and executed robust methodologies.
Analyzed
Examined complex data or information to find patterns and meaning.
- Analyzed behavioral data from 10,000 users, identifying a 15% drop-off point in the sales funnel.
- Analyzed blood samples from 500 clinical trial patients to track drug efficacy over 6 months.
- Analyzed competitor pricing strategies across 3 regions, informing a new dynamic pricing model.
Investigated
Carried out a systematic or formal inquiry into a specific subject.
- Investigated the root cause of a 20% increase in customer churn through in-depth exit interviews.
- Investigated the effects of microplastics on marine life in 3 coastal ecosystems over 2 years.
- Investicated historical market crashes to identify early warning indicators for the trading algorithm.
Evaluated
Assessed the value, quality, or success of a program or subject.
- Evaluated the efficacy of the new educational curriculum across 15 school districts.
- Evaluated vendor performance metrics to determine the top 3 suppliers for the enterprise rollout.
- Evaluated the environmental impact of the new manufacturing process, securing regulatory approval.
Synthesized
Combined separate data points or research elements into a cohesive whole.
- Synthesized 5 years of regional sales data into a single predictive model for executive strategy.
- Synthesized findings from 50 peer-reviewed articles to establish the theoretical framework for the study.
- Synthesized user feedback from 3 distinct platforms to prioritize the Q3 product roadmap.
Surveyed
Conducted structured questionnaires to gather data from a population.
- Surveyed 2,500 monthly active users to measure brand sentiment and feature satisfaction.
- Surveyed wildlife populations across 10,000 acres to track biodiversity and habitat health.
- Surveyed industry experts via Delphi method to forecast 5-year technology trends.
Mined
Extracted valuable data or patterns from large, raw datasets.
- Mined 5TB of unstructured customer review data to identify the top 3 drivers of negative sentiment.
- Mined geological survey data to locate a high-yield mineral deposit for future extraction.
- Mined historical health records to identify risk factors associated with chronic heart disease.
Compiled
Collected and assembled data from multiple sources into a unified format.
- Compiled quarterly financial data from 10 international branches into a unified global report.
- Compiled experimental results from 4 separate lab groups to prepare the final grant deliverable.
- Compiled a comprehensive database of 500 local competitors for market analysis.
Modeled
Created a mathematical or computational representation of a system.
- Modeled the spread of infectious diseases using stochastic simulation to inform public health policy.
- Modeled the structural load capacity of the bridge design to ensure compliance with safety standards.
- Modeled customer lifetime value (CLV) using Python to optimize marketing spend allocation.
Simulated
Ran computational models to imitate real-world processes.
- Simulated 10,000 crash scenarios to test the safety parameters of the new autonomous vehicle AI.
- Simulated the impact of a 2% interest rate hike on the corporate investment portfolio.
- Simulated supply chain disruptions to test the resilience of the global logistics network.
Benchmarked
Compared data or processes against a standard or competitor.
- Benchmarked the company's cloud infrastructure costs against industry averages, finding a 15% overspend.
- Benchmarked student test scores against national percentiles to identify areas for curriculum improvement.
- Benchmarked the new battery technology against 5 leading competitors, proving a 20% longer lifespan.
Study Design & Strategy Verbs
Proving you can conceptualize, structure, and guide complex research initiatives.
Designed
Created the structure, methodology, or parameters of a study.
- Designed a mixed-methods research study to evaluate the impact of remote work on productivity.
- Designed the sampling strategy to ensure statistically significant representation of 4 key demographics.
- Designed the A/B testing framework for the new e-commerce checkout flow.
Formulated
Developed a theory, hypothesis, or chemical mixture.
- Formulated the central hypothesis based on preliminary data showing a correlation between the variables.
- Formulated a new polymer coating that increased material durability by 40%.
- Formulated the statistical approach for analyzing non-parametric data sets.
Pioneered
Developed or used a new method or area of research for the first time.
- Pioneered a novel machine learning algorithm that reduced false positives in fraud detection by 25%.
- Pioneered a non-invasive method for measuring intracranial pressure in pediatric patients.
- Pioneered the use of satellite imagery to track informal settlement growth in developing nations.
Initiated
Started a new research project or program from scratch.
- Initiated a longitudinal study tracking the career outcomes of 500 scholarship recipients over 10 years.
- Initiated a cross-departmental data sharing agreement to break down silos for enterprise analytics.
- Initiated the first internal audit of lab safety protocols across 5 research facilities.
Directed
Managed and oversaw the execution of a major research project.
- Directed a 3-year, $2M NIH-funded study on cellular regeneration, managing a team of 12 researchers.
- Directed the market research division, delivering 50+ comprehensive industry reports annually.
- Directed the field data collection team across 4 remote locations, ensuring protocol adherence.
Guided
Mentored or steered junior researchers through complex methodologies.
- Guided 5 PhD candidates through the dissertation process, resulting in 3 successful defenses.
- Guided the product team in translating user research findings into actionable feature requirements.
- Guided the implementation of ethical data collection standards across the research department.
Mentored
Trained and advised junior staff or students in research practices.
- Mentored 10 undergraduate research assistants in proper pipetting and data recording techniques.
- Mentored junior analysts on using R for advanced statistical modeling, increasing team capability by 30%.
- Mentored peers on best practices for literature reviews and citation management.
Coordinated
Organized the logistics of multi-site or multi-team research.
- Coordinated data collection efforts across 5 international clinical trial sites.
- Coordinated the peer-review process for a quarterly academic journal, managing 100+ submissions annually.
- Coordinated scheduling for 20 focus groups over a 3-week period.
Collaborated
Worked jointly with cross-functional or external teams on research.
- Collaborated with the marketing team to translate consumer behavior research into a successful ad campaign.
- Collaborated with external university labs to share genomic sequencing data and accelerate the study.
- Collaborated with software engineers to build a custom data scraping tool for the project.
Standardized
Established uniform procedures for data collection or analysis.
- Standardized the data cleaning process across 3 regional offices, reducing processing errors by 15%.
- Standardized the survey instruments used for patient intake, ensuring consistent data quality.
- Standardized the lab's SOPs for handling hazardous materials, achieving 100% compliance on the next audit.
Grant & Resource Verbs
Demonstrating financial acumen in securing and managing research funding.
Secured
Obtained funding or resources through proposals or negotiations.
- Secured $500,000 in NIH funding by authoring a compelling grant proposal on neurodegeneration.
- Secured a donation of 50 high-performance servers from a tech partner to run complex climate models.
- Secured access to a proprietary dataset by negotiating a data-sharing agreement with the publisher.
Allocated
Distributed research funds strategically across project phases.
- Allocated a $1.2M research budget across 4 distinct workstreams, ensuring zero cost overruns.
- Allocated lab consumable budget to prioritize critical experiments, saving $15,000 annually.
- Allocated compute resources on the supercomputer to high-priority genomic sequencing tasks.
Procured
Obtained specialized equipment or materials for research.
- Procured 5 specialized electron microscopes from an overseas vendor at a 10% discount.
- Procured rare chemical reagents with a short shelf-life by establishing a rapid cold-chain logistics pipeline.
- Procured access to a paid academic database to expand the team's literature review capabilities.
Budgeted
Estimated and managed financial resources for a study.
- Budgeted $250,000 for a 2-year longitudinal study, tracking monthly burn rate to ensure sustainability.
- Budgeted for participant compensation, ensuring ethical pay rates while staying under the grant cap.
- Budgeted travel expenses for 3 researchers to present findings at an international conference.
Negotiated
Reached favorable terms with vendors or research partners.
- Negotiated a 20% reduction in software licensing fees for the data analysis suite by committing to a multi-year contract.
- Negotiated intellectual property rights with the university tech transfer office prior to the study.
- Negotiated access to restricted historical archives with the national library.
Justified
Proved the need for funding or resources to stakeholders.
- Justified the need for an additional $50,000 in funding by presenting preliminary data showing high impact.
- Justified the purchase of a $100,000 mass spectrometer by demonstrating the long-term cost savings over outsourcing.
- Justified the continuation of a stalled research project to the board of directors.
Maximized
Made the best possible use of limited research funding.
- Maximized the grant ROI by open-sourcing the resulting dataset for the broader academic community.
- Maximized lab efficiency by cross-training staff on multiple pieces of equipment, reducing idle time by 30%.
- Maximized participant turnout by implementing a low-cost digital marketing strategy for study recruitment.
Audited
Conducted official inspections of lab finances or inventory.
- Audited monthly lab expenses to ensure strict adherence to the NIH grant guidelines.
- Audited chemical inventory logs, identifying $5,000 in expired or misplaced reagents.
- Audited the data access logs to ensure compliance with patient privacy regulations.
Appropriated
Designated specific funds for distinct research purposes.
- Appropriated $15,000 from the general fund to purchase a new high-performance GPU for deep learning tasks.
- Appropriated Q3 budget surpluses to hire an external biostatistician for complex data modeling.
- Appropriated emergency funds to repair a critical incubator that threatened the cell line.
Leveraged
Used existing data or resources to gain additional funding.
- Leveraged preliminary pilot study data to secure a $1M follow-up grant from the NSF.
- Leveraged the university's existing supercomputer cluster to avoid $20,000 in external cloud computing fees.
- Leveraged inter-departmental relationships to share the cost of an expensive market research report.
Validation & Quality Control Verbs
Showing you can ensure data integrity and navigate experimental variables.
Ensured
Made certain that strict research standards and protocols were met.
- Ensured 100% compliance with IRB (Institutional Review Board) ethics standards during human subject trials.
- Ensured all lab technicians followed sterile techniques to prevent sample contamination.
- Ensured data anonymization protocols were strictly enforced before exporting to the shared drive.
Validated
Checked the accuracy and reliability of data or instruments.
- Validated the new survey instrument through a pilot study of 100 participants before full deployment.
- Validated the machine learning model against a holdout test set, achieving a 95% accuracy rate.
- Validated the chemical purity of the synthesized compound using NMR spectroscopy.
Verified
Made sure that data entries or calculations were correct.
- Verified 5,000 manually entered data points against the original paper records, correcting a 2% error rate.
- Verified the statistical significance of the results using multiple hypothesis testing methods.
- Verified that all citations in the 50-page manuscript matched the journal's formatting guidelines.
Mitigated
Reduced the impact of risks to the research timeline or validity.
- Mitigated selection bias in the observational study by using propensity score matching.
- Mitigated the risk of data loss by implementing automated daily backups to 2 separate off-site servers.
- Mitigated experimental variables by strictly controlling temperature and humidity in the growth chamber.
Troubleshot
Identified and fixed problems with lab equipment or methodology.
- Troubleshot a recurring calibration error on the mass spectrometer, preventing a week of downtime.
- Troubleshot the DNA extraction protocol to remove a contaminant that was ruining PCR results.
- Troubleshot the data pipeline script that was dropping 5% of incoming sensor data.
Diagnosed
Identified the root cause of an experimental failure or error.
- Diagnosed the cause of a sudden 30% drop in cell viability to a bad batch of growth media.
- Diagnosed a flaw in the survey logic that caused participants to skip key questions.
- Diagnosed the bottleneck in the data processing workflow, reducing run times by 4 hours.
Corrected
Fixed inaccuracies in data or methodology immediately.
- Corrected a misalignment in the laser optics that was causing skewed particle tracking data.
- Corrected historical database entries after discovering a systematic coding error.
- Corrected the sampling methodology mid-study to better represent the target demographic.
Enforced
Compelled compliance with safety or data governance rules.
- Enforced strict PPE (Personal Protective Equipment) protocols in the BSL-2 laboratory.
- Enforced the double-blind policy during the clinical trial data collection phase.
- Enforced data retention policies, securely purging records older than the 7-year compliance limit.
Safeguarded
Protected sensitive data, intellectual property, or physical assets.
- Safeguarded the personally identifiable information (PII) of 10,000 patients using AES-256 encryption.
- Safeguarded the lab's proprietary cell lines by maintaining strict liquid nitrogen logbooks.
- Safeguarded intellectual property by filing 3 patents based on the research findings.
Monitored
Kept track of ongoing experiments or system health.
- Monitored the 24-hour reaction process using automated sensors to prevent overheating.
- Monitored adverse event reports from 500 clinical trial participants on a weekly basis.
- Monitored server CPU usage during the massive data simulation to prevent a system crash.
Synthesis & Reporting Verbs
Proving you can process data and deliver actionable insights on schedule.
Published
Prepared and issued research findings to the public or scientific community.
- Published 3 peer-reviewed articles in top-tier scientific journals, resulting in 200+ citations.
- Published the annual industry trend report, which was downloaded 5,000 times by enterprise clients.
- Published a white paper on renewable energy adoption that influenced local government policy.
Presented
Delivered research findings formally to an audience.
- Presented groundbreaking findings at the International Cancer Research Conference to an audience of 500+ scientists.
- Presented monthly market analysis reports to the executive board, influencing strategic pivots.
- Presented the methodology and results of the UX study to the product and design teams.
Documented
Recorded research procedures, data, and results in detail.
- Documented the entire lab protocol in the electronic notebook, ensuring 100% reproducibility by peers.
- Documented the data cleaning and transformation steps to create a clear audit trail for the QA team.
- Documented the literature review process, summarizing 100+ articles into a structured matrix.
Summarized
Condensed large volumes of data or text into key takeaways.
- Summarized 500 pages of interview transcripts into a 5-page executive summary of key themes.
- Summarized complex statistical outputs into easy-to-read dashboards for non-technical stakeholders.
- Summarized the 2-year study's findings into a brief for the funding agency's final report.
Translated
Converted complex technical or scientific jargon into plain language.
- Translated dense statistical models into actionable business recommendations for the sales team.
- Translated the clinical trial results into patient-facing educational materials.
- Translated the proprietary research methodology into a patent application for the legal team.
Visualized
Created graphical representations of data to aid understanding.
- Visualized global climate trends over 100 years using interactive Tableau dashboards.
- Visualized the complex neural network architecture for the final research poster presentation.
- Visualized the survey results using ggplot2 in R, making the key insights immediately clear to the board.
Articulated
Expressed complex findings clearly and effectively in writing or speech.
- Articulated the business value of the user research findings to secure additional funding for UX design.
- Articulated the theoretical basis of the experiment in the grant proposal, securing $200k.
- Articulated the limitations of the study clearly in the discussion section of the paper.
Disseminated
Spread research findings widely to the target audience.
- Disseminated the public health research findings through a targeted social media campaign reaching 50k users.
- Disseminated the new software usability guidelines across 3 internal engineering departments.
- Disseminated the quarterly research bulletin to a mailing list of 2,000 industry professionals.
Condensed
Made complex or lengthy data more concise without losing meaning.
- Condensed 50 hours of video observation into a 15-minute highlight reel of key behavioral patterns.
- Condensed the 200-page technical manual into a 1-page quick reference guide for field operators.
- Condensed massive spreadsheet data into a pivot table highlighting the 3 key revenue drivers.
Delivered
Provided the final research outcomes or reports to stakeholders.
- Delivered the final $2M grant report to the NSF 2 weeks ahead of the deadline.
- Delivered actionable consumer insights to the marketing team, leading to a 10% increase in campaign ROI.
- Delivered a functional predictive model to the engineering team, ready for production deployment.
50 Resume Bullet Point Examples
Real-world examples of how to use these verbs on your resume.
Data Collection & Investigation
- Investigated the root cause of a 20% increase in customer churn through in-depth exit interviews.
- Surveyed 2,500 monthly active users to measure brand sentiment and feature satisfaction.
- Mined 5TB of unstructured customer review data to identify the top 3 drivers of negative sentiment.
- Interviewed 50 C-level executives to understand their post-pandemic technology investment priorities.
- Observed user interaction with the prototype app, recording 15 distinct points of friction.
- Extracted financial data from 100 SEC 10-K filings to build a comparative industry model.
- Compiled experimental results from 4 separate lab groups to prepare the final grant deliverable.
- Cataloged 10,000 historical artifacts into a searchable digital database for the museum.
- Sampled soil from 15 locations to test for heavy metal contamination.
- Tracked the migration patterns of 200 tagged birds over a 6-month period.
Statistical Analysis & Evaluation
- Analyzed behavioral data from 10,000 users, identifying a 15% drop-off point in the sales funnel.
- Evaluated the efficacy of the new educational curriculum across 15 school districts.
- Synthesized 5 years of regional sales data into a single predictive model for executive strategy.
- Modeled the spread of infectious diseases using stochastic simulation to inform public health policy.
- Simulated 10,000 crash scenarios to test the safety parameters of the new autonomous vehicle AI.
- Benchmarked the company's cloud infrastructure costs against industry averages, finding a 15% overspend.
- Correlated demographic data with purchasing habits to identify 3 new high-value target segments.
- Quantified the environmental impact of the new manufacturing process, securing regulatory approval.
- Forecasted Q4 revenue using ARIMA time-series modeling, achieving a 98% accuracy rate.
- Cross-referenced 5,000 patient records to identify rare adverse drug reactions.
Research Design & Methodology
- Designed a mixed-methods research study to evaluate the impact of remote work on productivity.
- Formulated a new polymer coating that increased material durability by 40%.
- Pioneered a novel machine learning algorithm that reduced false positives in fraud detection by 25%.
- Initiated a longitudinal study tracking the career outcomes of 500 scholarship recipients over 10 years.
- Standardized the data cleaning process across 3 regional offices, reducing processing errors by 15%.
- Conceptualized a new framework for evaluating ESG compliance in supply chain logistics.
- Piloted a new survey methodology that increased response rates by 30%.
- Architected the data pipeline to automatically clean and transform incoming sensor data.
- Structured the A/B testing framework to ensure statistically significant results.
- Devised a novel protocol for extracting RNA from degraded forensic samples.
Grant & Funding Management
- Secured $500,000 in NIH funding by authoring a compelling grant proposal on neurodegeneration.
- Allocated a $1.2M research budget across 4 distinct workstreams, ensuring zero cost overruns.
- Procured 5 specialized electron microscopes from an overseas vendor at a 10% discount.
- Budgeted $250,000 for a 2-year longitudinal study, tracking monthly burn rate to ensure sustainability.
- Negotiated a 20% reduction in software licensing fees for the data analysis suite.
- Justified the purchase of a $100,000 mass spectrometer by demonstrating long-term cost savings over outsourcing.
- Maximized the grant ROI by open-sourcing the resulting dataset for the broader academic community.
- Audited monthly lab expenses to ensure strict adherence to the NIH grant guidelines.
- Appropriated $15,000 from the general fund to purchase a new high-performance GPU for deep learning tasks.
- Leveraged preliminary pilot study data to secure a $1M follow-up grant from the NSF.
Publication & Scientific Communication
- Published 3 peer-reviewed articles in top-tier scientific journals, resulting in 200+ citations.
- Presented groundbreaking findings at the International Cancer Research Conference to an audience of 500+ scientists.
- Documented the entire lab protocol in the electronic notebook, ensuring 100% reproducibility by peers.
- Summarized 500 pages of interview transcripts into a 5-page executive summary of key themes.
- Translated dense statistical models into actionable business recommendations for the sales team.
- Visualized global climate trends over 100 years using interactive Tableau dashboards.
- Articulated the business value of the user research findings to secure additional funding for UX design.
- Disseminated the public health research findings through a targeted social media campaign reaching 50k users.
- Condensed 50 hours of video observation into a 15-minute highlight reel of key behavioral patterns.
- Delivered the final $2M grant report to the NSF 2 weeks ahead of the deadline.
ATS Optimization Tips
How to ensure your action verbs actually reach human eyes.
Use Standard Section Headings
Don't get creative with titles like "My Investigations" or "Lab History." Stick to "Experience," "Education," and "Skills" so the ATS knows where to find your action verbs.
Avoid Tables and Columns
ATS software reads left-to-right, top-to-bottom. If you put your action verbs in a side column or a table, the ATS might read them out of order or skip them entirely. Use a single-column layout.
Pair Verbs with Exact Keywords
Action verbs are great, but ATS looks for nouns too. Pair them: "Analyzed genomic data using Python and R" is stronger than just "Analyzed data."
Save as a PDF or DOCX
Unless the application specifically asked for Word, save as a PDF to lock in your formatting. Ensure the PDF is text-based, not a scanned image, so the ATS can read your verbs and metrics.
Professional Writing Tips
How to frame your bullet points for maximum impact.
Drop the Pronouns
Resumes use "implied first-person." Never use "I," "my," or "we." Start directly with the action verb.
❌ I analyzed behavioral data from 10,000 users.
✅ Analyzed behavioral data from 10,000 users, identifying a 15% drop-off point.
Use the XYZ Formula
Google famously recommends this formula for resumes: "Accomplished [X] as measured by [Y], by doing [Z]." Put your action verb at the very beginning of [Z].
✅ Identified a 15% drop-off rate in the sales funnel (X), measured by Google Analytics (Y), by analyzing behavioral data from 10,000 users (Z).
Keep Tense Consistent
If you are describing a past job, every bullet point should start with a past-tense verb (Analyzed, Researched, Published). For your current job, use present tense for ongoing duties (Analyze, Research, Publish) and past tense for completed projects.
❌ Analyzed the 2022 market data. Publish weekly reports.
✅ Analyzed the 2022 market data. Publish weekly reports.
Don't Overinflate
Be honest about your role. If you only entered data, don't say you "Architected" the study. Use accurate verbs like "Inputted," "Compiled," or "Supported." Hiring managers will dig into your claims during the interview.
LinkedIn Profile Examples
How to translate these verbs to your LinkedIn profile.
1. The LinkedIn Headline
Don't just write your job title. Use action-oriented language to show your analytical value.
Weak Headline:
Research Analyst at DataCo
Strong Headlines:
Quantitative Researcher | Analyzing Complex Datasets | Synthesizing Actionable Insights
UX Researcher Investigating User Behavior & Evaluating Digital Experiences
2. The "About" Section
Write in the first person here. Weave your action verbs into a narrative about your research philosophy.
"I am a user experience researcher specializing in mixed-methods studies. Over the past 4 years, I have investigated consumer behavior and synthesized findings for 3 major product launches. My core strength is analyzing qualitative data to identify friction points, ensuring I consistently deliver insights that drive a 15% increase in user retention..."
3. The Experience Section
You can copy your resume bullet points directly here, but you don't need to be as strict about omitting "I". Still, starting with an action verb looks cleaner.
• Secured $500,000 in NIH funding by authoring a compelling grant proposal.
• Modeled the spread of infectious diseases to inform public health policy.
• Published 3 peer-reviewed articles with 200+ citations in top-tier journals.
Common Resume Mistakes
Avoid these frequent pitfalls when writing your resume.
Did research on customer behavior.
✓ Investigated customer behavior through 50 in-depth interviews and 2,500 surveys.
Explanation: "Did research on" is passive and highly generic. Use strong verbs like Investigated or Analyzed to describe the actual methodology.
Tip: Highlight the method and the scale of the data.
Looked into why sales were dropping.
✓ Analyzed 6 months of sales data, identifying a 15% drop-off caused by a checkout bug.
Explanation: "Looked into" is unprofessional and lacks rigor. "Analyzed" shows a systematic approach to data evaluation.
Tip: Use Analyzed, Evaluated, or Assessed.
Found out that the new drug worked.
✓ Validated the efficacy of the new drug through a 6-month double-blind clinical trial.
Explanation: "Found out" is overly casual and doesn't describe the experimental design. "Validated" implies strict scientific testing.
Tip: Use Validated, Verified, or Confirmed.
Was responsible for checking data.
✓ Audited 5,000 data entries against source documents, correcting a 2% error rate.
Explanation: "Was responsible for" is passive and sounds like a duty, not an achievement. "Audited" shows active quality control.
Tip: Use Audited, Verified, or Screened.
Helped write the research paper.
✓ Co-authored and published 3 peer-reviewed articles in top-tier scientific journals.
Explanation: "Helped write" diminishes your contribution. "Co-authored" or "Published" shows formal academic output.
Tip: Use Published, Authored, or Co-authored.
Worked on the data collection.
✓ Executed the sampling strategy, gathering 10,000 distinct data points across 4 regions.
Explanation: "Worked on" is incredibly vague. "Executed" or "Compiled" shows you actively managed and contributed to the collection phase.
Tip: Use Executed, Compiled, or Gathered.
Made a model for the data.
✓ Modeled customer lifetime value (CLV) using Python, optimizing marketing spend by 15%.
Explanation: "Made a model" is informal. "Modeled" or "Simulated" is the correct technical terminology for data science and research.
Tip: Use Modeled, Simulated, or Formulated.
Handled the statistics for the study.
✓ Calculated statistical significance using ANOVA and regression analysis to validate the hypothesis.
Explanation: "Handled" is a weak catch-all verb. "Calculated" or "Quantified" specifically denotes the mathematical work done.
Tip: Use Calculated, Quantified, or Analyzed.
Put together a report on the findings.
✓ Synthesized 100 pages of raw data into a 5-page executive summary for stakeholders.
Explanation: "Put together" is a colloquial phrasal verb. Resumes require formal, professional terminology like "Synthesized" or "Compiled."
Tip: Use Synthesized, Compiled, or Summarized.
Showed the results to the team.
✓ Presented complex statistical findings to non-technical stakeholders, securing $50k in project funding.
Explanation: "Showed" is overly casual and lacks context. "Presented" implies a formal delivery of research outcomes.
Tip: Use Presented, Articulated, or Delivered.
Correct vs. Incorrect Examples
Before and after resume bullet points.
Weak / Passive
Responsible for doing market research.
Strong / Active
Investigated competitor pricing strategies across 3 regions, informing a new dynamic pricing model.
Weak / Passive
Worked on finding out what users liked.
Strong / Active
Surveyed 2,500 active users to measure brand sentiment and feature satisfaction, identifying 3 key UX drivers.
Weak / Passive
Helped with the data analysis.
Strong / Active
Analyzed behavioral data from 10,000 users using Python, identifying a 15% drop-off point.
Weak / Passive
In charge of looking at the numbers.
Strong / Active
Evaluated vendor performance metrics to determine the top 3 suppliers for the enterprise rollout.
Weak / Passive
Talked to patients about the trial.
Strong / Active
Interviewed 50 clinical trial participants to monitor adverse events and drug efficacy.
Weak / Passive
Made the research go faster.
Strong / Active
Streamlined the data cleaning pipeline, reducing processing time from 3 days to 4 hours.
Weak / Passive
Looked after the lab equipment.
Strong / Active
Calibrated and troubleshot 5 specialized electron microscopes, preventing a week of downtime.
Weak / Passive
Changed the study because of bad data.
Strong / Active
Corrected the sampling methodology mid-study to better represent the target demographic.
Weak / Passive
Dealt with the results of the experiment.
Strong / Active
Synthesized experimental results from 4 separate lab groups to prepare the final grant deliverable.
Weak / Passive
Did a presentation for the board.
Strong / Active
Presented groundbreaking findings at the International Conference to an audience of 500+ scientists.
🎮 Mini Quiz
Test your knowledge with these interactive questions.
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Frequently Asked Questions
Quick answers to common questions.
Why are action verbs so important on a research resume?
Action verbs demonstrate rigor and analytical skill. In research, you are hired to uncover truths and drive evidence-based decisions. Passive phrases like 'was responsible for looking into' make you sound like a casual observer. Verbs like 'Investigated' or 'Analyzed' show you take methodical, decisive action.
Should I use the same action verb multiple times on my resume?
It's best to avoid repeating the same verb in close proximity. If you used 'Analyzed' in one bullet point, use 'Evaluated' or 'Assessed' in the next. Variety keeps the reader engaged and shows off a broader vocabulary.
What tense should action verbs be in?
For past jobs, use the past tense (e.g., Investigated, Analyzed, Published). For your current job, use the present tense for ongoing duties (e.g., Investigate, Analyze, Publish) and past tense for completed projects.
How many action verbs should I use per bullet point?
Typically, one strong action verb per bullet point. The formula is: [Action Verb] + [Method/Subject] + [Metric/Result]. For example: 'Analyzed 10,000 user data points to identify a 15% drop-off rate.'
Will using these action verbs help me get past ATS (Applicant Tracking Systems)?
Yes. ATS software scans resumes for specific keywords. While it looks for job titles and hard skills (like 'SPSS' or 'Python'), using strong action verbs alongside those skills ensures your resume reads as a highly relevant match for research roles.
Is it okay to use 'Researched' on a research resume?
Yes, but it is very generic. 'Researched' is a bit of a catch-all. It's better to use more descriptive verbs like 'Investigated,' 'Evaluated,' or 'Synthesized' to stand out from the hundreds of other resumes that just say 'Researched.'
What if I wasn't the lead researcher, but just a lab assistant? Can I still use strong verbs?
Absolutely. If you didn't lead the study, you still contributed to the data collection or processing. Use verbs like 'Compiled,' 'Coded,' 'Sampled,' or 'Documented' to accurately describe your specific contribution without overstating your role.
Should I include metrics and numbers with my action verbs?
Yes. An action verb without a metric is just a claim. 'Analyzed data' is okay. 'Analyzed 5TB of unstructured data to identify 3 key drivers of churn' is a proven achievement. Always try to quantify your sample sizes, datasets, and results.
What is the difference between a weak verb and a strong verb?
A weak verb describes a state of being or a passive duty (e.g., 'was,' 'had,' 'helped,' 'worked'). A strong verb shows a specific, decisive action that resulted in a change (e.g., 'Investigated,' 'Synthesized,' 'Validated').
Can I use these action verbs in my LinkedIn profile?
Yes, your LinkedIn profile is an extension of your resume. Using these strong action verbs in your LinkedIn 'Experience' section will make your profile more attractive to recruiters searching for analytical, research, and data science talent.
Quick Reference
A cheat sheet for your resume writing.
Formula: [Action Verb] + [Research Method/Subject] + [Metric/Result]
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