HR & Recruiting

Screen 500 resumes before your coffee gets cold.

LinkedIn Recruiter costs $835/month. Manual screening takes 58 hours per hire. AI skill extraction, candidate categorization, and one-line summaries. All inside the spreadsheet your HR team already lives in.

Try the live demo Calculate your ROI

Hiring at scale means drowning in unstructured data.

Resumes come in every format. ATS exports dump messy CSVs. Manual screening takes weeks while top candidates accept other offers.

58 hours

Average time-to-screen per role

At 7 minutes per resume, 500 applicants takes 58 hours of focused reading. That is nearly 2 full work weeks for a single position.

$835/mo

LinkedIn Recruiter Lite

ATS screening add-ons cost $300-$835/month per seat. AI resume parsing tools charge per resume. Costs multiply with every open role.

46%

Of top candidates lost to slow screening

Nearly half of top candidates accept another offer while waiting. Every day of delay costs you the best talent in the pipeline.

3 formulas. 500 resumes. Minutes.

Export applicant data from your ATS. Paste into Google Sheets. AI extracts skills, categorizes fit, and writes one-line summaries for every candidate.

1

Paste resume summaries into Column A

Export from Greenhouse, Lever, Workday, or any ATS. Paste the raw resume text or summary into column A.

Your data
A1: "8 years Python, ML at Google, Stanford CS, built recommendation engine serving 10M users"
2

Type =AI_EXTRACT(A1, "skills, experience, education") in B1

AI reads each resume and extracts structured data: technical skills, years of experience, education, and notable achievements.

Formula
=AI_EXTRACT(A1, "skills, years experience, education")
Python, ML, TensorFlow | 8 years | Stanford, BS Computer Science
3

Type =AI_CATEGORIZE(A1, "Strong Match, Possible, Not a Fit") in C1

AI compares each candidate against your job requirements and categorizes them. Strong matches surface instantly.

Formula
=AI_CATEGORIZE(A1, "Strong Match, Possible, Not a Fit")
Strong Match
4

Type =AI_SUMMARIZE(A1, "short") in D1

One-line candidate summaries for quick scanning. Hiring managers see the highlights without reading 500 resumes.

Formula
=AI_SUMMARIZE(A1, "short")
Senior ML engineer with 8yrs Python, Stanford CS, Google + Stripe experience
5

Drag all formulas down. Screening complete.

500 resumes: skills extracted, fit categorized, summaries written. Sort by "Strong Match" and start interviewing today.

Your output
Columns B-D: Skills | Fit Category | Summary
500 candidates screened and ranked

Watch AI screen 8 candidates.

Click "Screen Candidates" to see skills, fit categories, and summaries populate in real time.

Resume Screening - SheetSense Demo
B1
fx
=AI_EXTRACT(A1, "skills, experience, education")
A - Resume SummaryB - Skills ExtractedC - FitD - Summary
--
Strong Match
--
Possible
--
Not a Fit
--
Time Elapsed

Same applicant pool. Completely different hiring speed.

On the left: a spreadsheet of unread resumes. On the right: ranked, categorized, summary-ready candidates.

Before: Unscreened resume pile
18yr Python, ML at Google, Stanford CS, rec engine 10M users
22yr junior dev, bootcamp grad, built a todo app in React
312yr data scientist, PhD stats, published 15 papers, Netflix
4Marketing manager, 5yr, switched to data analytics last year
56yr backend engineer, AWS certified, built microservices at Stripe

+ 495 more resumes waiting to be read...

After: Ranked and categorized
1StrongPython, ML, TFSr ML eng, Stanford CS, Google
2Not a FitReact, JSJr bootcamp grad, no ML exp
3StrongPython, Stats, RPhD data scientist, 15 papers
4PossibleAnalytics, SQLCareer switcher, 1yr analytics
5PossibleAWS, Python, GoBackend eng, no direct ML exp
Candidate distribution (500 resumes)
Strong Match
22%
Possible
34%
Not a Fit
44%

How much would you save?

Enter how many resumes you screen per month. See what you save in recruiter hours and tool costs.

Resumes per month500
57.5 hrs
Recruiter hours saved
$3,865
Saved vs manual screening
$9.99
SheetSense monthly cost
0.1 days
Payback period

Monthly cost comparison

Manual recruiters
$3,875
LinkedIn Recruiter
$835
SheetSense
$9.99

Replace $835/month tools for $9.99.

Every method compared side by side. Prices verified as of March 2026.

MethodMonthly CostTime for 500 ResumesSetup TimeSkill Extraction
Manual screening$3,87558 hoursNoneInconsistent
LinkedIn Recruiter$835/moSearch only (no bulk parse)2-4 hoursLimited
HireVue AI$500+/moAutomated (video)8+ hoursBehavioral only
ChatGPT (copy/paste)$20/mo15+ hoursNoneGood (one at a time)
SheetSense Best Value$9.99/mo5 minutes60 secondsExcellent (batch)

Manual screening at 7 min/resume, $67/hr recruiter. LinkedIn Recruiter Lite. All prices March 2026.

5 AI functions. Complete candidate intelligence.

=AI_EXTRACT()
Pull skills, experience, education, and contact info from resume text.
Python, ML | 8 years | Stanford CS
=AI_CATEGORIZE()
Sort candidates into Strong Match, Possible, or Not a Fit based on requirements.
Strong Match
=AI_SUMMARIZE()
One-line candidate summaries for quick scanning by hiring managers.
Sr ML eng, 8yr, Stanford, Google
=AI_SENTIMENT()
Analyze cover letter tone and enthusiasm level for culture fit signals.
Positive (0.91) - Enthusiastic
=AI_CLEAN()
Standardize names, phone numbers, and addresses across all applicant records.
John Smith | (555) 123-4567

Your top candidates are waiting. Start screening in 60 seconds.

Free forever. 50 AI calls/month. All 20 functions included. No credit card required.

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