Leaders constantly need information: a market overview before a strategy session, a list of potential partners, a competitor's pricing page summarized, a spreadsheet of conference speakers, a cleaned-up customer list for analysis. Gathering and organizing that information takes hours, and it's exactly the kind of work that gets done badly when squeezed into the margins of a busy week.
A dedicated research and data assistant takes it on. This guide explains what the role covers, how to brief research so the results are useful, how to keep data accurate and sourced, which tools are involved and how to measure value. For our service overview, see data entry and research assistants.
What a research and data assistant does
- Desk research: gathering information from public sources, subscriptions and internal documents on companies, markets, people, regulations or topics.
- List building: compiling structured lists of companies, contacts, events, suppliers or properties against defined criteria.
- Summaries and briefs: turning research into concise briefs with sources.
- Data entry and cleanup: entering data into systems, standardizing formats, deduplicating and validating.
- Data maintenance: keeping databases, trackers and directories current.
- Basic analysis: sorting, filtering, pivot tables and simple charts to answer specific questions.
- Monitoring: tracking news, filings or announcements about specified companies or topics.
What it doesn't include
The assistant gathers and organizes; they don't make strategic conclusions on your behalf, provide legal or financial advice, or access information through deception or by violating sites' terms. They don't buy data or subscriptions without approval.
Briefing research well
Most disappointing research comes from vague briefs. A good brief answers:
- Question: what decision or task will this research support?
- Scope: which markets, geographies, time periods or company sizes?
- Output: a one-page brief, a spreadsheet with specific columns, a slide?
- Sources: preferred or forbidden sources; internal documents to start from.
- Depth and time: how much time to spend, and when it's due.
- Examples: a sample of what good looks like.
For list building, define criteria precisely, such as industry codes, employee ranges, locations and exclusions, and specify columns.
Accuracy and sourcing
Research is only valuable if it's trustworthy. Good practice:
- Cite sources for every fact, with links and access dates.
- Prefer primary sources: company websites, filings, official statistics and regulators over aggregators.
- Flag uncertainty: note when information is estimated, outdated or conflicting.
- Date the work: information changes; record when it was gathered.
- No invented data: if information can't be found, say so rather than guess.
These habits matter even more as AI tools become common in research. AI can speed up summarizing and drafting, but outputs must be verified against sources before use. See using AI tools and a virtual assistant together.
Data quality practices
For data entry and cleanup, consistent standards prevent rework:
- A data dictionary defining each field, format and allowed values.
- Standard formats for names, addresses, phone numbers and dates.
- Deduplication rules agreed with the data owner.
- Validation checks, such as spot-checking a sample against sources.
- Version control: keep the original data and document changes.
Privacy and ethics
Research involving people requires care. Collect only what's needed for the stated purpose, follow privacy laws that apply to you and the people concerned, respect website terms of service, and don't scrape sites that prohibit it. Contact data for outreach must be handled according to your marketing and privacy policies.
Tools
Common tools include spreadsheets, databases like Airtable, CRM systems, company and market databases your organization subscribes to, LinkedIn for public professional information within its terms, news monitoring tools and AI-assisted research tools approved by your company. ExecWing screens for research and spreadsheet skills.
Writing briefs leaders will use
A research brief should answer the question asked, quickly. A structure that works:
- Bottom line: two or three sentences answering the question as far as the evidence allows.
- Key findings: a handful of bullet points, each with a source.
- Details: supporting tables or sections for readers who want depth.
- Gaps and caveats: what couldn't be found, what's uncertain and what might change.
- Sources: a list with links and access dates.
Keep it short. Leaders often read only the bottom line and key findings, so those must stand on their own. The assistant should ask for feedback after the first few briefs and adapt the format to each leader's preferences.
Handling confidential research
Some research supports sensitive decisions, such as acquisitions, partnerships, leadership hires or reorganizations. In those cases, limit who knows about the project, store work in a restricted folder, avoid revealing the purpose when contacting outside parties, and follow any confidentiality instructions from the leader. The assistant should ask before contacting anyone directly as part of research.
Example weekly cadence
| Day | Focus |
|---|---|
| Daily | Research requests in the queue; data entry; monitoring alerts |
| Monday | Week's research priorities agreed with requesters |
| Tuesday–Thursday | Research projects and list building |
| Wednesday | Data cleanup and maintenance tasks |
| Friday | Weekly digest of monitored topics; status of research requests |
Measuring success
- Turnaround on research requests against agreed deadlines.
- Accuracy: sampled facts and records verified against sources.
- Usefulness: requesters' rating of whether research answered the question.
- Data quality: duplicate and error rates in maintained datasets.
- Time saved for requesters, estimated.
Onboarding a research assistant
Week 1: company overview, key questions leaders care about, tools and subscriptions access, examples of past research, data standards.
Week 2: two or three small research tasks with detailed feedback.
Week 3: a larger list-building or briefing project.
Week 4: ongoing request queue and monitoring set up.
A worked example
A company's leadership team is considering expansion into a new region. The CEO asks for an overview of competitors and potential partners. The research assistant receives a brief: the region, company size range, the types of competitors and partners, and a spreadsheet template with columns for name, website, size indicators, services, locations and notes, plus a two-page summary. Over a week, the assistant compiles the list from company websites, trade association directories and public filings, cites sources for every entry, flags entries where size information is uncertain and writes the summary. The CEO uses it to shortlist conversations, and the assistant sets up news monitoring on the shortlisted companies.
Common mistakes
Vague briefs. Define the question, scope and output.
No sources. Unsourced research can't be trusted or reused.
Guessing to fill gaps. Mark missing information as missing.
Unverified AI output. Always check against sources.
Building a research library
Research often gets used once and forgotten. The assistant can maintain a simple library of past briefs, lists and datasets, organized by topic and dated, so future requests can start from existing work. When a leader asks a question that was researched six months ago, the assistant updates the old brief rather than starting over, noting what changed. Over time, the library becomes an organizational asset, especially for recurring topics such as competitor tracking, market sizing inputs from public statistics or regulatory developments.
Combining research with other roles
Research assistants often grow into adjacent roles: supporting sales with account research and list building, supporting marketing with content research, or supporting finance with data gathering for reports. If the work blends with prospecting, see our lead research role guide. Keeping a clear request queue helps balance competing demands from different teams.
Frequently asked questions
Can a research assistant use our paid databases?
Yes, with named accounts where licenses allow. Check your subscription terms.
How fast can research be done?
It depends on depth. Agree time budgets in the brief.
Can the assistant do analysis?
Basic analysis, yes. Advanced modeling or statistical work needs an analyst.
What schedule do research assistants work?
Each placement is dedicated, on a customized schedule based on your needs and budget.
Want a dedicated assistant who already knows this playbook?
ExecWing places dedicated, managed assistants from the Philippines, Mexico and Colombia with US leaders, on a schedule customized to your needs and budget. Month-to-month, quoted per role. See pricing or how it works.
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