Industry Playbooks
Research workflows for recruiters are the structured processes for sourcing candidates, researching employers and hiring managers, benchmarking compensation, and mapping talent markets — enabling recruiters to bring better candidates, faster, with more informed advising.
A recruiter takes on a new senior data science role. She searches LinkedIn. She posts on job boards. She sends some InMails. A week later, she has 45 applicants from the job posting, 8 InMail responses, and a vague sense that the market for this skill set is "pretty competitive." She hasn't researched what the specific role's compensation looks like in this market. She hasn't mapped which companies are likely to have qualified candidates who might be open to a move. She hasn't researched the hiring manager beyond reading the job description. She's going to have a hard time.
Research workflows for recruiters are the structured processes for building the intelligence that makes recruiting effective — talent market maps, compensation benchmarks, candidate sourcing strategies, employer intelligence, and hiring manager research. The difference between the recruiter who closes roles in three weeks and the one who takes three months is often not the ability to work a phone — it's the quality of the research done before the phone is picked up.
Talent market mapping: Where do qualified candidates for this role actually work right now? What companies, what job titles, what communities? A recruiter who knows the answer to this question before starting outreach has a sourcing strategy. A recruiter who doesn't is hoping the job posting finds them.
Compensation benchmarking: What does this role pay in this market at this level? A recruiter who can't answer this question credibly will lose offers, mismanage candidate expectations, and give clients bad advice. Compensation research is not optional.
Employer and hiring manager intelligence: For an agency recruiter, what does this client company actually look like as a place to work? What do candidates say about it? What do the offer acceptance and retention patterns tell you? For a corporate recruiter, what does this hiring manager actually want — and how does that differ from what the job description says?
Candidate intelligence: Who is this specific person, what do they actually want from their next role, and why might they move now? Research on individual candidates before screening calls produces better conversations and more accurate assessments.
Before sourcing a single candidate, research the role:
Compensation benchmarking:
Build a compensation range for this role in this market before talking to candidates or advising clients. "Competitive" is not a range.
Talent pool mapping:
Talent pool mapping before sourcing converts scattered search into targeted search. A senior MLOps engineer won't usually have "MLOps" in their title — they'll be "Staff ML Engineer" or "Machine Learning Platform Engineer" at companies with strong ML infrastructure teams.
Competitive landscape:
For agency recruiters, research the client before presenting them to candidates:
Public employer brand research:
Internal research (for repeat clients):
Hiring manager research:
Hiring manager research enables the recruiter to ask questions that reveal whether the stated job description matches the actual hire — and to brief candidates on what the manager actually values.
Before screening calls, do individual candidate research:
LinkedIn profile review:
Public work (for technical roles):
Prior research notes (if they're in your database):
Market conditions change faster than annual surveys capture. Ongoing research:
Layoff and hiring trend monitoring:
Compensation movement:
Candidate pool mood:
Research done before a call and not captured is research that has to be redone the next time you talk to a candidate or client. Capture at the point of research:
In the ATS: Role-relevant intelligence — compensation benchmarks used, talent pool notes, hiring manager research — should be in the job record where it's accessible to the whole team.
In a market intelligence log: Compensation data points (with source and date), company hiring status, and sourcing channel effectiveness — organized by role type and dated.
WebSnips for recruiter research: Employer brand research requires reading what companies say about themselves in context — their career pages, their CEO blog posts, their press releases about culture and values. WebSnips captures specific company pages with date and source URL. When a candidate asks whether a company has a good culture for work-life balance, a clip from their CEO's LinkedIn post from two months ago (mentioning "we've completely changed how we approach remote flexibility") is more specific and credible than general Glassdoor impressions. For market intelligence, clips of layoff announcements, company hiring expansions, and industry news — dated and organized by market segment — provide the current-state intelligence that makes recruiter advising accurate.
| Stage | Tool | Notes |
|---|---|---|
| Compensation benchmarking | Levels.fyi / Glassdoor / Radford | Primary salary research; validate with own offer data |
| Talent pool mapping | LinkedIn Recruiter + Boolean search | Primary sourcing research tool |
| Candidate research | LinkedIn + ATS history | Profile review + prior relationship notes |
| Employer brand research | Glassdoor + company website + news | Culture intelligence for candidate briefing |
| Market monitoring | Layoffs.fyi + LinkedIn + industry news | Ongoing market condition tracking |
| Employer research capture | WebSnips | Dated clips of employer brand, company news |
| All research capture | ATS (Lever / Greenhouse) | System of record for role and candidate research |
An agency recruiter, James Park, takes on a Director of Product search at a Series B fintech company.
Stage 1 research (first two days):
Compensation benchmarking: James pulls Levels.fyi data for Director of Product at fintech companies (Series B stage):
He validates against his own recent placements: two Directors of Product placed in the last 6 months at $195K and $210K base, respectively. He advises the client their budget ($175K base) is below market; they increase to $195K.
Talent pool mapping: Director-level product experience in fintech:
Stage 2 research (client and hiring manager):
Client company research (WebSnips clips + Glassdoor):
Hiring manager research: VP of Product (Sarah Kim): 4 years at Stripe, 2 years at Brex, joined this company 6 months ago. LinkedIn posts about "shipping faster" and "building product culture from scratch." Conference talk from 2024 titled "How to Build Product-Engineering Alignment at Startups."
James brief to candidates: "The VP of Product is coming from a very execution-oriented background — Stripe, Brex. She's trying to bring that culture to an earlier-stage company. The interviews will be about your ability to drive clarity, say no, and ship fast. Glassdoor suggests the prior culture was more chaotic; she's actively changing that. It's a growth opportunity but also a change management environment."
Reference checks and background research: Pre-employment reference checks must be used consistently (same process for all candidates in a role). Background research on candidates using public information is generally permissible; using protected class information encountered during research (race, age, disability from social profiles) in hiring decisions is not.
Sourcing and data protection: LinkedIn Recruiter terms restrict how contact information from the platform is used. GDPR applies to candidate data for EU-based candidates. Understand your ATS vendor's data processing agreements and your organization's candidate data retention policies.
Mistake 1: Starting to source before benchmarking compensation. The recruiter who starts sourcing before knowing the compensation range will eventually have to tell candidates that the role doesn't pay what the market expects. At that point, the best candidates have already moved on.
Mistake 2: Talent pool mapping that's too narrow. Searching for "Data Science Manager" will miss the "Head of Analytics" who does the same job. Research the full set of titles and companies that hold the talent before setting the sourcing strategy.
Mistake 3: No hiring manager research. The job description says "collaborative leadership style." The hiring manager's LinkedIn post from last week says "I believe in high-standards hiring and I'm willing to wait for the right person." Research the hiring manager to understand the actual criteria, not just the stated criteria.
Mistake 4: Employer brand research that's years old. A company's Glassdoor reputation from 2022, under a prior leadership team, may not reflect current culture. Research the company's current situation — recent leadership changes, recent news, recent Glassdoor reviews — before briefing candidates.
A research workflow for recruiters is what separates the recruiter who closes roles in three weeks from the one who closes them in three months — and often the difference is not effort but method. Talent market mapping before sourcing, compensation benchmarking before conversations, hiring manager research before briefing, and current employer brand intelligence for candidate advising — these aren't overhead activities that happen before the "real" recruiting work. They are the recruiting work. The recruiter who does this research systematically, captures it so it compounds over time, and updates it as markets change has an advantage that no job posting or outreach volume can replicate.
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