A head of people at a 40-person SaaS company posted three software engineer roles in January with a target close date of March. By the end of March, two roles were filled and the time-to-fill was 57 days, req-open to offer-accepted. That number went into the quarterly update without a flag. What the update didn't include: four qualified engineers had withdrawn before the offer stage, each citing long waits between steps. The time-to-fill looked fine. The time-to-hire was the problem.
Time to hire vs time to fill are two different metrics that track two different clocks. Time to fill counts the days from when a requisition opens to when an offer is accepted, measuring how long a seat stays vacant. Time to hire counts the days from when a specific candidate enters the pipeline to when they accept, measuring how fast the process moved for that person. Both matter for an IT startup. Most founders and heads of people track only one of them.
What Time to Fill Measures: Where It Falls Short
Time to fill is a req-level metric. It answers: how long has this seat been empty? For headcount forecasting and planning reviews, it's the right number. But it says nothing about what happened to the candidates who moved through the process before the seat was filled.
According to iCIMS's March 2025 Workforce Report, the average time to fill a tech role reached 51 days in February 2025, up from 48 days the prior year. That is 10 days longer than the overall labor market. For a startup hiring software engineers against a quarterly headcount plan, that gap is real pressure. Your seats are empty longer than average, and the candidates you're evaluating are actively interviewing elsewhere.
A 51-day time to fill tells you the seat was open for 51 days. It does not tell you how many days passed between a technical screen and feedback, or how long a debrief sat unscheduled. Those gaps live in time-to-hire, not time-to-fill.
What Time to Hire Reveals About Your IT Recruiting Process
Time to hire is a candidate-level metric. It measures the same endpoint: an accepted offer, but measured from the candidate's clock: the day they applied to the day they said yes. That number reflects the experience the person had, not the state of the open req.
For small IT teams, this distinction is practical. When a startup has a pipeline of five or six candidates for a senior role, losing two to dropout or competing offers isn't an attrition rate. It's often the difference between closing the role this quarter and restarting sourcing next quarter. The delays that inflate time to hire are almost always internal: a hiring manager who hasn't reviewed a candidate submission in five days, a technical round that took three email exchanges to schedule, a debrief that got moved twice. These don't show up in time-to-fill until they cause a restart.
Where IT Startups Lose the Candidates They Wanted to Hire
Slow processes lose candidates in predictable ways. SHRM's 2024 analysis of the Monster Work Watch Report found that 47% of candidates cited poor communication as the primary reason they withdrew, and 36% dropped out because of burdensome or unclear steps. Both are time-related failure modes: poor communication means candidates don't know where they stand, and burdensome steps mean the process is asking for sustained effort without acknowledging how much time it's taking from someone who is still employed.
IT candidates at the mid-to-senior level are almost always in multiple processes at the same time. When your process goes quiet for ten days, a candidate doesn't wait; they advance with the employer who is moving. For a startup without a well-known employer brand, a slow process is an active disadvantage against any company that is faster, even if the role and comp are otherwise competitive.
This is exactly what time-to-hire tracks. The req could still be technically open when a candidate accepts an offer elsewhere. Time-to-fill records a restart; time-to-hire shows a sharp endpoint. The distinction tells you what happened and when.
How to Act on the Time-to-Hire Metric as a Small Team
Improving time-to-hire is mostly a matter of making internal handoffs faster and more visible. Building a qualified pipeline before a role opens shortens the front end, but the biggest gains are usually in the middle of the process.
- Define time limits for each internal step. Decide how many days are acceptable for reviewing a screened candidate, scheduling a technical round, completing a debrief, approving an offer. Make those limits visible to everyone in the hiring loop. Most delays are invisible until you name them.
- Cut rounds that don't add signal. A startup running four or five interview rounds for a role that needs two is adding two to three weeks of calendar friction with no marginal evaluation benefit. Each round should map to a specific decision.
- Maintain candidate communication between every step. A brief update confirming receipt, giving a realistic timeline, and acknowledging shifts keeps candidates in the process while you move at the speed you can actually move.
- Track time-to-hire separately from time-to-fill. When time-to-fill looks fine but time-to-hire is high, you have a process problem, not a sourcing problem. You won't find it by looking at one number.
For a startup using Eximius, structured AI screening compresses the first stage of the candidate clock. Sia conducts a structured screening conversation and returns a summary the hiring team can act on the same day, instead of a stack of resumes that waits until someone has an open afternoon. The recruiter or founder still makes the call on who advances; the gap between candidate entry and first signal shrinks.
A time-to-fill that looks healthy is easy to walk into a quarterly review. What it won't show you is the process that cost you three engineers in the same quarter. Track both metrics. Act on the one the candidate actually experiences.
Want to see what structured screening looks like on your current IT req volume? Book a demo and we'll run your next role through the Eximius workflow.
Frequently Asked Questions
What is the difference between time to hire and time to fill?
Time to fill measures how long a position stays vacant, from when the requisition opens to when an offer is accepted. Time to hire measures how long a specific candidate spends in the process, from application to accepted offer. Time to fill is a req-level metric for planning; time to hire is a candidate-level metric for process improvement.
Which metric should an IT startup track?
Track both, but act on time-to-hire for process decisions. Time to fill is useful for headcount planning. Time to hire shows where individual candidates slow down or drop out, which is where startups lose the people they most wanted to hire.
How long does it typically take to hire for a tech role?
According to iCIMS data from February 2025, tech roles take an average of 51 days to fill, roughly 10 days longer than the overall labor market. Time-to-hire for the same roles varies more widely depending on how quickly internal steps turn over.
What causes candidates to drop out during the hiring process?
Poor communication and burdensome or unclear process steps are the two most common withdrawal triggers. Candidates who don't know where they stand and candidates who feel the process asks too much without explanation will disengage, typically while advancing in a faster-moving process elsewhere.
How does Eximius help reduce time to hire for IT roles?
Eximius's Sia screening agent conducts structured conversations with candidates and returns organized summaries to the hiring team, compressing the time between application receipt and first hiring-team review, the step where time-to-hire most commonly stalls for small IT teams.
