The quarterly pipeline review
Once a quarter, leadership wants to know if the talent pipeline is in good shape. The temptation is to answer with volume - candidate counts, reqs filled. But volume hides the things that actually break a pipeline.
This health check replaces "how many candidates" with five signals that predict whether you'll hit hiring plan next quarter. The output is a dashboard leadership can read in two minutes and a verdict they can act on.
Health is coverage, diversity, and flow - not volume
A pipeline of 200 candidates can be unhealthy and a pipeline of 60 can be in great shape. What separates them is whether the candidates are spread across your open roles, sourced from channels that won't collapse, and moving through stages instead of aging out.
The five signals below are what a strong health check measures. Each maps to a panel on the dashboard.
Coverage vs open headcount
Qualified candidates per open req, measured against a role-specific target. Thin pools like chiplet need a different bar than verification.
Depth by role
Coverage broken out per role, not averaged. A healthy blended number can hide one role that's starving.
Source concentration
How much of the pipeline comes from a single source. Over-reliance on one competitor or channel is fragility, not strength.
Time-in-stage / aging
How much of the pipeline has gone untouched too long. Aging candidates are effectively gone, even if they're still in the system.
Stage conversion / flow
Where candidates drop off. A single stage with a conversion cliff is where your pipeline is actually leaking.
One red signal is a warning
Two or more red signals at once is a pipeline that will miss plan. The dashboard exists to catch the combination early.
What the health check looks like
Toggle between a healthy quarter and an at-risk quarter to see what each signal looks like in good and bad shape. The data is a worked example for a semiconductor engineering org.
At-risk quarter
What each panel is telling you
Read the reds first
A green blended coverage number means nothing if chiplet sits at 1.2 per req. Always scan the per-role bars before quoting the average.
Concentration is hidden risk
If 60% of the pipeline comes from one competitor and they freeze hiring or get acquired, your inflow collapses overnight. Diversify before it's forced.
Stale equals gone
A candidate untouched for 90 days has almost certainly moved on or cooled off. Counting them as pipeline inflates the picture and delays the real problem.
Find the cliff, fix the cliff
One transition with a conversion drop is where the leak is. An onsite-to-offer cliff usually points at calibration or comp, not sourcing.
Six steps to a quarterly dashboard
Set role-specific coverage targets
Don't use one bar for every role. Thin pools (chiplet, RF/analog) might target 3 per req; deeper pools (verification) might target 4-5. Set the target from the supply snapshot, not a gut number.
Pull coverage per role, never blended only
Compute candidates-per-req for each role separately. Keep the blended number for the headline, but the per-role breakdown is what surfaces the starving role.
Map source concentration
Tag every pipeline candidate by source and compute the top source's share. Flag anything over ~50% from one channel or competitor as a concentration risk, even if volume looks healthy.
Measure aging, then discount it
Calculate the share of pipeline untouched in 90+ days. Then re-run coverage excluding aged candidates - the "real" coverage is almost always lower than the headline.
Trace stage-to-stage conversion
Compute conversion at every transition. Flag the single biggest drop. That's your bottleneck - and it usually has a specific, fixable cause.
Write the verdict and the one move
End with a single health verdict and the one intervention that matters most this quarter. Leadership doesn't want five action items - they want to know the one thing to fix.
The decision cadence has shifted from annual to continuous. A pipeline reviewed once a year is a pipeline you find out is broken a year too late.
The quarterly review one-pager
Copy this scaffold for the written summary that accompanies the dashboard.
PIPELINE HEALTH CHECK — [QUARTER] — ENG HIRING Prepared by: [name] · [date] VERDICT [Healthy / At watch / At risk] — [X] of 5 signals red. The one move this quarter: [single most important intervention]. THE FIVE SIGNALS 1. Coverage (blended): [X] per req — [G/A/R] 2. Depth by role: [worst role] at [X]/req vs [target] — [G/A/R] 3. Source concentration: [X]% from [dominant source] — [G/A/R] 4. Aging: [X]% untouched 90+ days — [G/A/R] Active coverage (ex-aged): [X] per req 5. Stage flow: bottleneck at [stage]→[stage] ([X]%) — [G/A/R] WHAT'S WORKING - [healthy signal + why] WHAT'S AT RISK - [red signal + the cause + the fix] THE ONE MOVE [The single intervention, who owns it, by when.] NEXT REVIEW: [date]
The marks of a health check leadership acts on
- The verdict is one of three states, not a paragraph - healthy, at watch, or at risk.
- Coverage is shown per role, with the worst role visible, never hidden in a blended average.
- The dominant source is named, with its exact share, and flagged if it's a concentration risk.
- Aging is discounted - active coverage is shown alongside the raw number.
- The bottleneck stage is identified with a specific, testable cause.
- It ends with one move, an owner, and a date - not a list of five.
Where AI helps, and where it can't
Pull a talent supply snapshot
Pool sizing here sets the role-specific coverage targets the dashboard scores against.
Set up an always-on cadence
The quarterly health check is one beat in a larger always-on intelligence rhythm.
Run a competitor talent analysis
When source concentration flags red, this is how you find new channels to draw from.
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