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Rethinking the Recruitment Hiring Process: What One Company Learned From 700 Applicants

When Advisor Works Canada ran the same job posting twice — once manually, once with Lighthouse — the outcomes weren't close. Here's what 700 applicants taught them about modern hiring.

Before Lighthouse
16 days
to reach a shortlist
43%
of applicants even got screened
~30 hrs
manual work per role
With Lighthouse
2.1 days
to reach a shortlist
100%
of applicants screened instantly
~0 hrs
manual work per role

Advisor Works Canada — same role, same employer, two approaches

What hiring looked like before

When Advisor Works Canada posted a role the traditional way, 700+ candidates applied. The hiring team was immediately underwater.

Most candidates never got seen

Teams can't physically review 700 resumes. The result: only 43% of applicants were screened before the role was filled. The other 57% — nearly 400 people — applied and heard nothing. Not because the team didn't care, but because there was no system that could keep up. Ghosting isn't a choice when you're drowning — it's the default.

The calendar was the bottleneck

When Advisor Works ran this process manually, the workflow looked like this: screen resumes manually, identify promising candidates, email each one, wait for replies, coordinate schedules, confirm times — repeat for every interview round. The gaps between steps compounded. Screening alone took 16 days just to produce a viable shortlist. Applicants who applied early heard back two weeks later. Many had already accepted other offers.

The hidden hours added up fast

Every resume took roughly 2 minutes to review. Every promising candidate (about 20% of applicants) needed another 3+ minutes for outreach, scheduling attempts, and follow-up. On a 700-applicant post, that's roughly 30 hours of manual work — nearly a full work week — before a single interview happened. And that's one role. Most hiring teams carry multiple open positions at once.

Why the process stayed stuck

None of this was anyone's fault. The process itself is designed around waiting:

  • Complacency — Resumes, cover letters, and ATS screening are familiar. Predictability feels safe, even when it wastes weeks.
  • Risk aversion — Hiring is high-stakes, so teams add more steps as insurance. But our data shows only 4.66% of applicants meet 80%+ of role criteria — more steps don't produce better candidates, they just wear out the good ones.
  • Tooling that tracks but doesn't think — Most ATS platforms were built to store resumes, not evaluate them. Keyword matching catches synonyms and misses context. Recruiters spend their time on busywork instead of judgment.
  • Coordination collapse — Hiring spans recruiting, hiring managers, interviewers, leadership, and finance. Without automation, every handoff creates a gap. Those gaps compound into weeks.

What changed with Lighthouse

Advisor Works Canada ran the same role again — same title, same requirements — but this time with Lighthouse handling screening, scoring, and communication.

Every applicant screened the moment they applied

Instead of 43% coverage, 100% of the 700+ applicants were reviewed instantly. Lighthouse parsed each resume the moment it arrived, extracted structured data, and scored it against the same criteria — consistently, for every single person who applied. No pile. No backlog. No candidate waited unread for days while the best ones got poached.

Shortlisting dropped from 16 days to 2.1

AI scoring surfaced top candidates as they applied. The hiring manager opened their dashboard and saw a ranked pipeline — with evidence backing every score — instead of digging through hundreds of PDFs. What used to take over two weeks now happened in two days.

Communication and scheduling handled automatically

Once candidates were shortlisted, Lighthouse drafted and sent outreach, shared calendar links, and handled all scheduling logistics. The hiring manager focused on preparing for interviews — not on email chains, rescheduling ping-pong, or chasing non-responsive candidates. Zero scheduling friction.

Interviews became targeted, not generic

Because Lighthouse enriched every candidate profile with structured data — skills, domain knowledge, behavioral flags, tenure patterns — the interviewer walked in knowing exactly what to probe. Instead of "tell me about yourself," they asked questions targeted at the gaps and strengths Lighthouse surfaced: "I noticed your last two roles show rapid growth — can you walk me through that trajectory?"

A full work week returned — per role

Between screening (~23 hours) and candidate follow-up (~7 hours), Advisor Works Canada eliminated roughly 30 hours of manual effort per job posting. That's time returned to hiring managers who were previously buried in admin — and a process that treated every applicant fairly instead of ignoring nearly 60% of them.

What to measure when you fix your process

If you're tracking hiring effectiveness, stop measuring "time to fill" in isolation. The metrics that actually tell you whether your process is broken:

  • Screening coverage: what percentage of applicants actually get reviewed?
  • Time to shortlist: how many days from application to a qualified, ranked pipeline?
  • Manual hours per hire: how much recruiter and hiring manager time goes to screening, scheduling, and follow-up — not interviewing?
  • Candidate drop-off by stage: where are you losing people — and is the root cause speed?

The process doesn't need more effort — it needs a different design

Advisor Works Canada didn't add headcount. They didn't ask anyone to work harder or faster. They changed how the process worked — instant screening, transparent scoring, automated communication — and cut 14 days and 30 hours from the same role with the same team. That's the difference between managing a broken process and building one that actually works.

The Lighthouse Team
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