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ATS Mako
Recruiting Ops Guide

Stop Guessing. Start Knowing.

The recruiting metrics that actually move hiring - source effectiveness and recruiter performance - defined for TA directors and recruiting-ops leaders, and measured in real time inside ATS Mako.

No setup fees. No long-term contracts. Full-feature 30-day trial.

Why measurement wins

Recruiting is speed. Measurement is how you keep it.

You cannot fix a pipeline you cannot see. The teams that fill roles fastest are not working harder - they know exactly which sources produce hires, which recruiters move candidates, and where the pipeline stalls. This guide breaks down the metrics that matter, how to define them, and how a single platform turns them from a monthly reconstruction into a live signal.

The core five

Recruiting metrics to track first

Start with a short list you can measure consistently. Volume for volume's sake is noise; these are the numbers that change decisions.

01

Time-to-Fill and Time-to-Hire

Time-to-fill measures the days from opening a requisition to an accepted offer. Time-to-hire measures the days from a candidate entering your pipeline to accepting. Track both. Time-to-fill exposes how fast you source; time-to-hire exposes how fast you close once a real candidate appears. When one is slow and the other is fast, you know exactly where to fix the pipeline. ATS Mako timestamps every stage change, so both numbers are calculated automatically instead of reconstructed from memory.

02

Response Rate and Speed-to-First-Contact

The first recruiter who reaches a candidate usually wins the hire. Track how many candidates reply to your outreach and how fast your team makes first contact after an application lands. Slow first contact silently kills otherwise strong pipelines. Because ATS Mako logs every SMS and email event with a timestamp, response rate and speed-to-first-contact are measured at the touchpoint, not estimated in a weekly stand-up.

03

Stage Conversion and Pipeline Velocity

A single funnel number hides the real problem. Break conversion down by stage - applied to screened, screened to interviewed, interviewed to offer, offer to accepted - and watch where candidates stall or drop. Pipeline velocity tells you how quickly candidates move through each stage. Sub-status reporting inside ATS Mako connects those stages directly to production reporting, so a stalled stage is visible before it becomes a missed month.

04

Source Effectiveness and Cost per Hire

Not all sources are equal. A job board that floods you with applicants but never produces a hire is a cost, not a channel. Measure applicants, interviews, and hires by source - then divide spend by hires to get true cost per hire per channel. That is the number that redirects budget from noise to results. ATS Mako captures the source of every applicant at intake through branded Apply Here pages, QR codes, and campaign links.

05

Offer Acceptance and Quality of Hire

A fast pipeline that produces declined offers or short-tenure hires is not working. Track offer acceptance rate to catch compensation or experience problems, and track quality of hire - ramp time, first-sale activity, retention - to prove your pipeline produces people who stay and perform. ATS Mako links offer-and-e-signature status and first-sale activity into reporting, so the story does not end at the accepted offer.

Source effectiveness

Measure channels by hires, not applicants

A job board that floods you with resumes but never produces a hire is a cost, not a channel. Judge every source on what it actually delivers to an accepted offer - and capture the source at intake so the analysis is real.

ATS Mako tags source at the point of application through branded Apply Here pages, QR codes, and campaign links - so applicants, interviews, and hires stay attributed to the channel that produced them, with no manual tagging to forget.

Applicants by source

The raw count of candidates each channel delivers. Useful for volume, but dangerous on its own - high applicant counts often mask low-quality traffic. Always read this next to conversion and cost.

Interview-to-hire rate by source

Of the candidates a source sends to interview, how many get hired. A channel that produces fewer applicants but a high interview-to-hire rate is often your most valuable one.

Cost per hire by channel

Channel spend divided by hires from that channel. This is the number that ends debates about where to invest. Kill or shrink the channels that cost the most per placement.

Source-to-response rate

How engaged candidates from each source are once you reach out. Some sources deliver names; the best sources deliver people who actually reply and schedule.

Recruiter performance

Judge output and process together

Requisitions filled is the headline, but it hides the story. Pair volume with speed and conversion so you can tell the difference between a recruiter who needs more roles and one who needs coaching.

Requisitions filled

The headline output metric - how many roles a recruiter closes in a period. Read it alongside time-to-fill so speed and volume are judged together, not in isolation.

Speed-to-first-contact

How fast a recruiter reaches new applicants. This is a leading indicator of results - the fastest first-contact recruiters almost always post the best conversion downstream.

Candidate response rate

The share of candidates who reply to a recruiter's outreach. It reflects message quality, timing, and channel discipline - and it is fully measurable when every message is logged.

Interview-to-offer conversion

How effectively a recruiter turns screened candidates into offers. A recruiter with a full pipeline but weak conversion needs coaching on qualifying, not more requisitions.

Guessing vs. knowing

The same metric, two very different realities

Every number below exists in most recruiting teams. The difference is whether it is a guess reconstructed in a meeting or a fact measured at the touchpoint.

Metric
Guessing
Knowing with ATS Mako
Time-to-fill
Estimated from memory in a weekly meeting, rarely written down, impossible to compare across recruiters.
Calculated automatically from timestamped stage changes on every requisition, comparable by role, office, and recruiter.
Source effectiveness
A gut feeling that one job board "seems to work," with no cost-per-hire to back it up.
Applicants, interviews, and hires tagged to source at intake, so cost per hire per channel is measurable.
Recruiter response speed
Nobody knows how fast first contact happens; slow follow-up is invisible until candidates go cold.
Every SMS and email event is timestamped, so speed-to-first-contact is a real, trackable number.
Stage conversion
One overall funnel percentage that hides exactly where candidates drop off.
Sub-status reporting breaks conversion down by stage so bottlenecks surface before they cost a month.
Quality of hire
The story ends at the accepted offer; ramp and retention live in a separate system nobody reconciles.
Offer status and first-sale activity feed reporting, connecting the hire to real downstream performance.
The measurement loop

From definition to better hires, in five moves

Metrics only work when they close a loop. Define them, capture them at the source, track them live, act on them, and fold quality back in.

01

Define

Agree on the metrics that matter

Pick a short list - time-to-fill, speed-to-first-contact, stage conversion, cost per hire by source, offer acceptance. Write down exactly how each is defined so every office and recruiter counts the same way. Metrics only mean something when the definitions are shared.

02

Capture

Instrument the pipeline at the source

Every applicant enters through a branded Apply Here page, QR code, or campaign link that tags the source. Every SMS and email is sent and logged inside the platform. The data you need is captured automatically at the moment it happens - not reconstructed later.

03

Track

Watch the numbers in real time

Sub-statuses connect to production reporting, so pipeline velocity and stage conversion update as candidates move. Smarter report tabs and cleaner navigation put the number you need one click away instead of buried in a spreadsheet.

04

Act

Redirect effort where the data points

Cut the channels with the worst cost per hire. Coach recruiters whose conversion trails their volume. Set automated triggers so slow-moving candidates get followed up without a manual reminder. Stop guessing. Start knowing.

05

Review

Close the loop on quality

Fold offer acceptance, first-sale activity, and retention back into the picture so you are optimizing for hires who stay and perform - not just faster paperwork. The best metric program improves the definition of a good hire, not only the speed of a bad one.

Questions answered

Recruiting metrics FAQ

What recruiting metrics should I track first?

Start with five: time-to-fill, speed-to-first-contact, stage conversion, cost per hire by source, and offer acceptance rate. Time-to-fill tells you how fast you hire. Speed-to-first-contact is the strongest leading indicator of results. Stage conversion shows where candidates drop. Cost per hire by source tells you where to invest budget. Offer acceptance catches compensation and experience problems before they compound. Add quality-of-hire measures like ramp time and retention once the basics are consistent.

How do I measure source effectiveness?

Tag the source of every applicant at intake, then track that source all the way through applicants, interviews, and hires. The channel that produces the most applicants is rarely the one that produces the most hires per dollar. Divide channel spend by hires from that channel to get cost per hire per source, and read it next to interview-to-hire rate. ATS Mako captures source at the point of application through branded Apply Here pages, QR codes, and campaign links, so this analysis does not depend on manual tagging.

What is the difference between time-to-fill and time-to-hire?

Time-to-fill counts the days from opening a requisition to an accepted offer - it reflects your whole process, including sourcing. Time-to-hire counts the days from a specific candidate entering the pipeline to accepting - it reflects how fast you move once a real candidate appears. Tracking both isolates the problem: a slow time-to-fill with a fast time-to-hire points to a sourcing gap, while the reverse points to a slow interview and decision process.

How do I measure recruiter performance fairly?

Judge output and process together. Requisitions filled is the headline, but read it alongside time-to-fill, speed-to-first-contact, candidate response rate, and interview-to-offer conversion. A recruiter with high volume but weak conversion needs coaching on qualifying, not more open roles. Because ATS Mako timestamps every stage change and logs every message, these are real numbers - not impressions formed in a weekly meeting.

Why do so many recruiting metrics live in disconnected tools?

Because most teams run nine disconnected tools - texting, email, a spreadsheet, a scheduler, job boards, a resume parser, onboarding, reporting, and a separate ATS - and none of them talk to each other. Nine logins, nine bills, and no single source of truth. ATS Mako consolidates those tools into one branded platform, so source, messaging, stage changes, offers, and reporting share the same data and your metrics are always current.

Can ATS Mako reporting connect stages to production results?

Yes. Sub-statuses connect directly to production reporting for cleaner pipeline visibility, first and second interview stages can be tracked with office-level configuration, and first-sale activity feeds into reporting. Smarter report tabs and cleaner navigation make the insight you need faster to reach. The point is to track hires that perform, not just moves that look busy.

One platform. Every hire.

Turn your metrics into a live signal.

ATS Mako replaces nine disconnected tools with one branded platform - so source, messaging, stage changes, offers, and reporting share the same data. Stop reconstructing your numbers. Start acting on them.

Designed for speed. Built for scale. No hidden fees.