47-field applications drive away great candidates. AI screens applicants in a natural conversation, extracts resume data, routes to the right hiring manager, and scores each application. Built with our no-code form builder and conversational forms. Try it free.
The best candidates have options. When your application form asks them to retype their resume into 47 fields, they leave. They don't need your job that badly.
The candidates who DO fill in every field? They might be great. Or they might just be patient. Your form can't tell the difference. And the 74% who abandoned? You'll never know what you lost.
Hidden fields capture referral source and job board automatically, so you know which channels bring quality candidates without adding visible questions.
Priya runs HR at a 40-person tech company hiring for three roles at once. She shares ioZen application links in each job posting. Candidates upload their resume, the bot extracts their info and asks role-specific questions. Submission Intelligence scores each applicant on experience, skills, and availability, so Strong-tier candidates surface at the top of the board. By Friday, Priya's hiring managers open their boards and start with the best fits instead of reading through every resume. No spreadsheets. No copy-pasting from PDFs.
A conversation that respects their time
IntakeBot
Thanks for your interest! Which role are you applying for?
Senior Frontend Developer
IntakeBot
Great. Can you upload your resume? I'll pull your details from it so you don't have to retype everything.
📎 resume_carlos_dev.pdf
IntakeBot
Got it. I see 4 years with React and TypeScript. Have you worked with Next.js or server components?
Yes, my last two projects were Next.js apps. I can share links to both.
IntakeBot
That would be great. And one more thing: what's your earliest available start date?
What changes when applications are conversational
Application completion
Time to review
Candidate quality score
Candidate uploads a PDF resume. AI Field Intelligence extracts name, email, years of experience, skills, previous roles, and education. The conversation continues with follow-up questions based on what the resume actually says.
"I see 4 years of React experience. Have you worked with server components?" Not a generic chatbot. An intake that reads and responds.
The extracted data populates structured fields in the submission. Your hiring managers see clean, comparable records instead of scanning PDFs line by line.
When someone drops off at question 8, you still have their name, role, experience, and exactly where they stopped. Maybe they got a phone call. Maybe your question about "management philosophy" felt too heavy for a first interaction.
Either way, you know who they are, and you can reach out. A partial submission is not a lost candidate. It's a candidate who needs a nudge.
From job posting to interview
Candidate applies
Clicks link in job post
Intelligence scored
AI assigns tier: Strong / Moderate / Review
Profile created
Contact + application saved
Card on board
Sorted by role
Routed to manager
Right department, right person
Candidate applies
Clicks link in job post
Intelligence scored
AI assigns tier: Strong / Moderate / Review
Profile created
Contact + application saved
Card on board
Sorted by role
Routed to manager
Right department, right person
Applications route directly to the team that's hiring. See how <a href='/docs/guides/workflow-routing/' class='text-primary underline underline-offset-4 hover:no-underline'>workflow routing</a> works.
Top candidates disappear in 10 days. When HR screens every application before forwarding, your best people have already accepted offers elsewhere.
Engineering candidates tracked by your tech leads
Carlos Martinez
4 yrs React · Next.js
FrontendEmily Chen
6 yrs Python · AWS
BackendCarlos Martinez
4 yrs React · Next.js
FrontendAlex Rivera
2 yrs Go · Docker
BackendJordan Lee
5 yrs Full Stack
SeniorCarlos Martinez
4 yrs React · Next.js
FrontendEmily Chen
6 yrs Python · AWS
BackendCarlos Martinez
4 yrs React · Next.js
FrontendAlex Rivera
2 yrs Go · Docker
BackendJordan Lee
5 yrs Full Stack
SeniorUpload PDF, AI pulls name, experience, skills, education, and previous roles
Conditional logic asks different questions for engineering vs design vs operations
AI scores experience, skills, and availability. Strong candidates surface first.
Engineering applications go to tech leads, design to creative directors
Visual board: Applied, Screening, Interview, Offer. Drag cards to advance.
Candidates who drop off are still saved with everything they entered
Why AI Chatbots Fail at Business Intake
AI that just chats won't extract the structured data hiring managers need.
The Data You Lose When They Close Your Form
Abandoned applications are lost candidates. Here's what you can still recover.
Submission Intelligence: AI Scoring for Every Submission
How AI separates strong candidates from background noise.
