
Hiring takes too long. Here's why.
The average time from job posting to signed contract is around 42 days. For technical roles, it can take even longer. That's nearly two months where the role is unfilled, the team is understaffed, and projects are delayed.
The question is: why does it take so long? And more importantly: what can you do about it?
The most common bottlenecks
| Bottleneck | Typical time lost | Solution |
|---|---|---|
| Too broad a search | 1–2 extra weeks of screening | Precise requirements + AI screening |
| Too many interview rounds | 1–3 extra weeks of waiting | Max 2–3 rounds |
| Slow internal decisions | 1–2 extra weeks | Clear decision plan from the start |
| Manual sourcing | 2–4 weeks total | AI tools for sourcing |
| Poor candidate experience | Loss of candidates | Fast feedback (48h) |
1. Too broad a search
Many companies start with a vague job description and cast a wide net. The result is hundreds of applications, most of which aren't relevant. Anyone who's trudged through 150 resumes that don't fit knows how frustrating this is.
The solution is to be more precise from the start. Define clear requirements, use AI tools to screen quickly, and focus energy on the 10 to 15 most relevant candidates.
2. Too many interview rounds
Some companies run four, five, or six interview rounds. They want to be "thorough," but in practice this is the fastest way to lose good candidates. Top candidates have other offers and won't wait around for weeks.
Two to three interview rounds are enough for most roles. A first conversation, a technical interview, and possibly a team chat. More than that is rarely necessary.
3. Slow internal decision-making
Even when the right candidate is found, it can take weeks to get an internal decision. Who needs to approve? Do we need another round? Can we offer a bit more? While the company deliberates, the candidate has accepted an offer elsewhere.
Set a clear timeline for the decision before the process starts. Everyone who needs a say should know this from day one.
4. Manual work in the sourcing phase
A lot of time goes to searching through LinkedIn, writing messages, and following up with candidates manually. A recruiter spends on average 30 hours per hire just on sourcing. With AI tools, this can be cut to a few hours.
5. Poor candidate experience
If candidates have to wait long for responses, go through many rounds, or feel poorly treated, they drop out. A LinkedIn study shows that 60 percent of candidates have abandoned an application process because it took too long.
What does slow hiring cost?
An unfilled position costs money. For a developer with a salary of 800,000 NOK, the price tag is around 3,000 NOK per day the role is vacant, just in lost productivity. Add recruiting costs and the burden on the team, and the numbers grow fast.
Companies consistently underestimate this cost. They focus on finding the "perfect" candidate but forget that the search itself costs money.
How to shorten the timeline
Use AI for sourcing and screening
AI can go through thousands of profiles in minutes and deliver a ranked list of the most relevant candidates. That alone can save weeks.
Define clear requirements from the start
The clearer you are about what you're looking for, the faster you'll find it. Spend time defining requirements properly before starting the search.
Cut interview rounds
Two to three rounds are enough. Make sure each round has a clear purpose and you're not asking the same questions again.
Set deadlines
Decide in advance when decisions will be made. Communicate the timeline to candidates. People appreciate clarity.
Respond quickly
Give feedback within 48 hours after each step. Candidates who feel valued are more likely to say yes.
The bottom line
Hiring takes too long because processes are outdated. Manual work, too many interview rounds, and slow decision-making are the biggest culprits. With the right tools and processes, you can dramatically shorten the timeline without compromising quality.
The best companies use AI to do the groundwork, and humans to make the final decisions. It's a combination that delivers faster hires and better results.
Common questions
What is the average time to hire?
Most companies spend between 30 and 60 days from identifying a need to having a candidate in place. With AI-supported recruiting, this time can be cut significantly.
What does leaving a position unfilled for too long cost?
An unfilled position typically costs 1–3 times the annual salary in lost productivity, overtime for existing employees, and onboarding costs. Fast hiring directly impacts profitability.
How can AI shorten the hiring process?
AI automates the most time-consuming steps: sourcing, screening, and initial matching. What takes a recruiter weeks can be done by AI in hours.