The Feedback Nobody Sends
Most recruiting tools speed up the part of hiring that happens before the shortlist reaches the hiring manager. Feedback latency after that point often decides whether you keep the candidate, and it needs a different fix.

Candidates almost never call to say they're losing interest. They just stop answering, or send one polite email saying they've accepted something else. So when a hire falls through halfway, the company usually finds out too late to do anything, and it's rarely obvious what went wrong.
If you trace those losses backward, though, many of them have the same shape: a long silence somewhere in the middle. The candidate had an interview and then heard nothing for days. Maybe they asked about timing and nobody got back to them quickly. By the time feedback arrived, they had mentally moved on, or signed somewhere else.
Usually the silence is on the hiring manager's side. One estimate puts the average time a hiring manager takes to give feedback after an interview at 3.7 days. If you're aiming for 14 days to an offer, that one gap uses up more than a quarter of the window, and it happens after every round.
I don't think this makes hiring managers careless. They're juggling a dozen other priorities, and most of those push back right away when neglected. A missed deadline gets noticed the same day. A candidate going cold makes no noise at all. The manager hears about it on some Tuesday morning in a message from the recruiter, after the cost has already landed.
It's also an awkward thing to say out loud. When a post-mortem asks why hiring is slow, the answer that gets written down is nearly always about recruiting: a sourcing problem, a missing screening tool, a request for more recruiters. Naming the managers as the slow step is politically inconvenient, so the money keeps going to the part of the process that was already moving.
And recruiting tools have become very good at that part. ATS platforms rank applications. AI tools write outreach and book calls. Interview intelligence products transcribe and summarize conversations. All of it speeds up what happens before the shortlist reaches the hiring manager. Once the shortlist arrives, the tools mostly have nothing left to do.
Suppose AI screening lets a recruiter produce a qualified shortlist of twelve candidates in 18 hours instead of four days. If the manager gets to it four days later, nothing has changed from the candidate's point of view. The speed-up happened where the process was already reasonably quick, and the real constraint, the manager's attention, was never touched. A hiring process moves at the pace of the slowest person with the authority to decide, and that person is almost never the recruiter.
So what can you do? You can't create more attention for managers, and asking them to try harder rarely lasts. What you can change is how much work their attention has to do.
That's the part Asendia can help with, and I want to be careful not to claim more than it does. It won't make a hiring manager reply faster. What it changes is what arrives in front of them. Most of the tools I described above stop at the point where the manager gets a stack of resumes and has to work out which ones deserve a call. Asendia phones candidates soon after they apply, instead of whenever a recruiter next opens the queue, so by the time a shortlist reaches the manager, everyone on it has already had a screening conversation. Each candidate comes with a structured summary, notes on how they measured up against the role's criteria, quotes in their own words, and confirmed availability, and the list is ranked. The step that used to take days of back-and-forth ("this resume looks good, let's set up a screen") is already done.
That changes the size of the task. Reading through five pre-screened candidates with conversation notes might take twenty minutes. Going through twelve resumes to decide which three deserve a call takes an afternoon, and that afternoon tends never to get scheduled. The bottleneck is still there, but it's smaller, because what lands in front of the manager is ready to decide on. The summaries sit in the ATS next to everything else on the candidate. If you're rethinking which numbers would show you where the delay really sits, have a look at why recruitment KPIs were built for a pre-AI world.
Recruiter throughput is a real constraint, and tools that help with it are worth having. But in most companies the person slowing the hire is the hiring manager, because their attention is limited and everything competes for it. Auditing their calendars won't change much. Making each thing that lands in the calendar quicker to decide will.
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Badis Zormati
Co-Founder, Asendia AI

