Most teams who leave Workable do not leave because the product broke. They leave because the bill changed. The advertised $299/month for the Standard plan is the bill at 20 employees. At 21, it jumps. Add video interviews and SMS, and the real number lands somewhere founders did not budget for. The migration off Workable takes about an hour of active work. The savings are measured in years.
Why Workable customers switch
Workable is one of the more affordable legacy ATS options, but its pricing model punishes growth. The official Workable pricing page lists the Standard plan starting at $299 per month for up to 20 employees. The 21st employee triggers the next tier — typically $500/month — for the same feature set. Adding the video interview module costs an additional $99/month. SMS texting adds $79/month. Independent industry analysis puts Workable’s pricing satisfaction at 2.8 out of 10, one of the lowest among major ATS platforms. Combined add-ons can push the real monthly cost 59% above the advertised base. A 25-person startup on Workable Standard with full add-ons typically pays $11,000–$14,000 per year. A 50-person startup pays $18,000–$25,000 per year. That is before the 8–9% annual renewal increase most customers report. The AI underneath all this is keyword and rules-based, not outcome reasoning. Founders making the switch generally cite three reasons: the headcount-tier penalty, the add-on creep, and the gap between what “AI screening” produces and what they actually trust.
What you keep, what you save, what you lose
The migration mechanics are straightforward, but founders ask the same three questions before pulling the trigger. The honest answers:
What you keep: All candidate records, resumes, application history, pipeline stage data, interview feedback (text), tags, source attribution, rejection reasons. Job descriptions. Custom fields export as CSV columns and re-import cleanly. Anything that ever lived in your Workable account survives.
What you save: A 25-person startup spending $14,000/year on Workable Standard plus add-ons saves roughly $13,400 per year on CurriculoATS Pro at $100/month (early-bird $50/month) early bird ($600/year), or $12,800 at regular Pro pricing of $1,200/year. A 50-person startup spending $22,000/year saves more than $20,000. Those numbers do not include the per-seat multiplier — Workable’s seat fees on a 15-person hiring team add another ~$1,485/year that goes to zero on Curriculo’s flat plan.
What you lose: Workable’s job board syndication network is broad, and a few niche boards may need direct posting. The video interview module’s specific recording features. Workable’s mobile app has more polish in some areas; Curriculo’s mobile experience is browser-based. None of these have been blockers for any 10-to-200 person startup we have onboarded.
How the headcount-tier model actually penalizes growth
The single most expensive design choice in Workable’s pricing is the headcount-tier model, and it is the design choice founders most often miss when signing. Workable bills based on total company headcount, not based on how many people are using the ATS or how much hiring is happening. That means the moment your company grows past a tier boundary — 20 employees, then 50, then 100 — the bill jumps even if your hiring volume stays flat. A startup that hired three operations people and one customer support person can suddenly find its ATS bill 67% higher at renewal, despite running fewer open roles than it did a year earlier. The math is the inverse of what a startup needs from a tool. As your company succeeds at the thing it actually cares about (growing headcount), the price of the supporting software grows linearly with that success. There is no version of that pricing model that aligns with a startup’s interests. The flat-rate alternative, $100/month on CurriculoATS Pro (currently $50/month early bird, indefinite), bills the same at 12 employees and 120 employees because the cost of running the tool does not scale with company size; it scales with hiring complexity, which is loosely correlated with headcount and very tightly correlated with the number of active roles. Founders we have spoken to who ran the math on a three-year horizon — modeling growth from 25 to 75 employees with realistic hiring volume — found Workable’s tier jumps cost them $18,000-$24,000 in cumulative ATS bills versus the equivalent flat-rate plan. That is one full mid-level engineering hire, paid out to a vendor whose product did not get better as you grew.
The 15-minute migration, step by step
One admin login, one CSV editor, one signup. That is the whole stack you need.
Step 1 — Export from Workable (5 minutes). Log in as admin. Go to Settings → Company → Data Export, or use the API if you are on Premier. Export candidates with: name, email, resume file, job applied to, current pipeline stage, source, tags, internal notes. Export job listings separately as a second CSV.
Step 2 — Sign up for CurriculoATS (2 minutes). Go to curriculo.me/pricing. Start with the free Starter plan or Pro at $100/month (early-bird $50/month) early bird, currently indefinite. No credit card required for free, no implementation manager call, no onboarding session. Setup is genuinely 15 minutes end-to-end.
Step 3 — Invite your team (1 minute). Unlimited members on every plan. If you were paying Workable per-seat fees on a 15-person hiring team, that is roughly $1,485/year in seat costs that goes away. Add interviewers, hiring managers, your CEO, your co-founder. Zero per-seat charges.
Step 4 — Import the candidate CSV (3 minutes). Upload your Workable export. The system parses every candidate, runs outcome-based scoring against your active jobs, generates a 0–100 fit score with a written reasoning paragraph for each candidate, and files them into the correct pipeline stages.
Step 5 — Repost active jobs and switch traffic (4 minutes). Paste each job description into Curriculo. The system reads the JD and configures default scoring weights you can adjust. Update your careers page link or use the embed. Cancel Workable at end of billing cycle.
The first 30 days, by the numbers
Three measurable changes show up in the first month, and they map directly to the SHRM benchmarks every founder should be tracking against:
Screening throughput. Pre-switch, most Workable customers spend 8–14 reviewer-hours producing a shortlist of 8 candidates from 200 applicants. Post-switch, the same shortlist takes 30–60 minutes of focused review on the AI-ranked output, because the written reasoning means the hiring manager stops re-reading everyone. SHRM’s 2025 Benchmarking Report puts average cost-per-hire at $5,475 — internal time is a meaningful chunk of that, and reclaiming it shows up in the next finance review.
Time-to-hire. The 5–9 day screening lag on most Workable workflows compresses to under 24 hours. If your pre-switch baseline was the SHRM 41-day average, you should see roll-ups in the low 30s by week four. Senior engineering roles with longer interview loops compress less, but the screening stage of those loops compresses the same.
Compliance posture. Every CurriculoATS score is paired with a written reasoning paragraph, which is the explainability requirement under NYC Local Law 144 and Annex III of the EU AI Act (full enforcement August 2026). If you hire NYC candidates or EU candidates, this is no longer optional.
What to do next
If you are paying Workable more than $700/month all-in, the math on switching is decisive. The cheapest way to verify is to spin up the free CurriculoATS Starter plan, import a single role from Workable, and run it for a week side-by-side. Watch the ranking quality on real resumes and the time your hiring managers spend reviewing them. If both clear your bar, the full migration is the 15-minute operation above. See the Workable comparison page for the head-to-head feature breakdown or check current pricing. The savings on a 25-person team usually pay for two paid acquisition tests with money left over.
Former machine learning engineer at Amazon (search and recommendations) and Synopsys. Built CurriculoATS to replace keyword matching in hiring with outcome-based AI evaluation. Penn State alumnus. Writes about hiring AI, ATS economics, and what actually predicts on-the-job performance.