How to Auto-Fill Job Applications on Workday, Greenhouse, Lever, Ashby, and iCIMS

Every major ATS wants the same 40 fields in slightly different formats. Here's how to build one profile that fills them all — and the tools that actually work.

If you've applied to more than 20 jobs, you already know the punchline: every Applicant Tracking System asks for the same 40 fields, and none of them let you import from anywhere useful. Workday has its own login system. Greenhouse imports from LinkedIn but forgets half your work history. Lever asks you to re-enter your entire education from scratch.

The total time cost is staggering. A typical Workday application takes 15 to 25 minutes. If you apply to 5 roles a week for three months, that's 30 to 50 hours of pure data re-entry — not including the resume and cover letter work.

This guide covers how to actually solve that problem: what the major ATS platforms have in common, what makes autofill hard, the specific tools that work (and don't), and how to set up a workflow that cuts a 20-minute application down to 90 seconds.

Why autofill is harder than it should be

ATS platforms all capture roughly the same data — identity, work authorization, education, experience, skills, screening answers. But they don't agree on how to capture it. A few concrete examples:

• Workday asks for "Legal Name" split into First, Middle, and Last. Greenhouse uses "First Name" and "Last Name". Ashby uses "Full Name" as a single field.
• Lever wants work experience as free-text "Role Description." Workday wants structured bullets. Greenhouse gives you both options depending on the employer's config.
• Screening questions are employer-specific within each ATS. Even on Greenhouse, one company asks "Why are you interested?" in a 2,000-character textarea and another asks the same question as a multiple-choice dropdown.

This is why generic browser autofill (the kind built into Chrome or 1Password) fails after the first 3 fields. It can fill your name and email. It can't fill "Years of experience with Python" as a number, because your password manager has no idea you have 6 years.

Effective autofill requires three things:

1. A normalized profile — one source of truth for all your data, structured the same way regardless of where it's headed.
2. Per-ATS field mapping — adapters that know how Workday labels things vs. Greenhouse vs. Ashby.
3. Screening-question memory — a reusable answer bank so the 15th time you're asked "What interests you about this role?" you're not starting from scratch.

What to build in your master profile

Whether you use a tool or a spreadsheet, these are the fields you should have captured and structured before you start any application. Copy this list — it's derived from auditing the required fields across the top 5 ATS platforms.

Identity Legal first / middle / last name. Preferred name. Pronouns (optional). Email. Phone. Current address (street, city, state, postal code, country). LinkedIn URL. Portfolio / GitHub URL.

Work authorization Citizenship status. Work visa type and expiration (if applicable). "Will you now or in the future require sponsorship?" (yes/no). Security clearance (type + active status). Willing to undergo background check (yes/no). Willing to undergo drug test (yes/no).

Compliance (EEO) Veteran status. Disability status. Gender (optional). Race/ethnicity (optional). These are almost always asked and almost always optional — but the forms do include them, and they're friction if you don't have an answer ready.

Education (per entry) Institution name. Degree. Major. Minor. GPA (optional). Start date. End date. Location.

Work experience (per role) Company. Title. Employment type (full-time / contract / intern). Location. Start date. End date (or "Current"). 2–4 bullet points describing impact. Reason for leaving (some employers ask).

Skills Skill name. Years of experience. Proficiency level. Last used date. (Sounds excessive but Workday explicitly asks for proficiency and last-used on every skill entry.)

Preferences Target roles / titles. Desired salary range. Remote preference. Willing to relocate (yes/no). Willing to travel (percentage).

Screening question bank Every application's "tell us about yourself" and "why are you interested?" and "what's your notice period?" — stored as reusable, editable answers. The trick: write one great 150-word version and one great 400-word version of each, and use whichever the textarea asks for.

If you're going to do this manually, a single Google Doc with these headings works. The key is that when you sit down to apply, your master reference is complete — so you never have to look up your GPA or your last employer's end date mid-application.

Tools that actually autofill (ranked)

We've tested every major tool claiming to autofill job applications. Here's what we found.

Hppr AI — full-stack autofill + CRM

Disclosure: this is us. Hppr AI's Chrome extension detects the ATS you're on (Workday, Greenhouse, Lever, Ashby, iCIMS so far) and pre-fills the entire application from a structured profile you build once. Screening questions come from a reusable answer bank you train over time. The dashboard side tracks every application you submit so you can see your real conversion rate.

The design goal is 90 seconds from "open the application page" to "ready to submit." Free tier available.

Simplify (Copilot)

Simplify has a Chrome extension that autofills ATS forms and does it well for the major platforms. The weakness is on the tracking side — it captures applications but the analytics layer is thin. No resume tailoring integrated with the fill flow.

Good choice if you only need autofill, not the rest.

LinkedIn Easy Apply

Technically autofill, but only works on jobs posted directly on LinkedIn — which is <20% of high-quality roles. Most senior and technical jobs funnel you out to the company's own ATS, where Easy Apply stops helping.

Use it for casual applications. Don't rely on it.

Chrome / Safari built-in autofill

Will fill your name, email, and address. Will not fill anything else. Every time. Not a real solution.

Generic password managers (1Password, Dashlane)

Same as browser autofill — good for the first 3 fields, useless for the 37 that matter.

The profile-once-apply-many workflow

Here's the workflow that consistently cuts application time the most, regardless of which tool you use:

Week 0 — Setup (do this once) Spend one Saturday building your master profile — either in a tool like Hppr AI or a well-organized Google Doc. Capture every field in the checklist above. Write the 6 screening-question answers that come up most often (tell me about yourself, why interested, notice period, salary, most challenging project, why are you leaving). Save 3–4 resume versions labeled by role type.

Each application — 90 seconds to 5 minutes

1. Find the role. Evaluate it against your criteria (don't skip this — applying to roles you don't actually want is the #1 source of wasted time).
2. Select the relevant resume version.
3. Open the application page.
4. Run the autofill tool. Review every pre-filled field. Fix anything wrong.
5. Answer any employer-specific screening questions. Pull from your answer bank where possible.
6. Submit.

The whole point is to spend your time on the things that actually move the needle — tailoring your resume to the role, writing a real answer to the "why us" question — and not on typing "123 Main Street" for the 50th time.

The number you should actually be tracking

Most job seekers have no idea what their real interview conversion rate is. They know roughly how many applications they've sent and roughly how many interviews they've had, but those numbers live in a dead spreadsheet and they don't segment by anything.

Once you start segmenting — application conversion rate by channel (company website direct vs. LinkedIn vs. referral), by resume version, by role level, by recruiter-reached vs. cold application — you start seeing patterns that change where you should be spending your time.

This is where the autofill layer becomes more than just a time-saver. When applying takes 90 seconds, you can afford to track every single application. When you track every application, you can see what's actually working. That's the difference between applying hopefully and applying with data.

If you want one tool that handles the autofill layer and the tracking layer together — instead of stitching together Simplify plus a spreadsheet plus Jobscan plus a coach — that's what we're building at Hppr AI. Free to try. We'd love your feedback on what we got right and what we missed.