TalentfindersWhy technical shortlists take weeks, and what actually fixes it
The delay is rarely a shortage of candidates. It is usually an undefined bar, a wide brief, and review work pushed onto engineers.
"We cannot find anyone" is usually not a supply statement. It is a definition statement, and the distinction determines what actually fixes the search.
Is it really a candidate shortage?
Genuine shortages exist for a narrow set of specialisations, such as engine and rendering roles, where the national population is genuinely small. For most gaming and AI engineering roles, the constraint is not supply but definition: an unclear bar produces a wide funnel, and a wide funnel produces review work rather than shortlists.
The diagnostic is simple. If your funnel has plenty of candidates and few advance past the first technical stage, the problem is the brief. If very few candidates enter at all, the problem may be supply, compensation, or location.
What does a wide brief cost?
A wide brief pushes screening cost onto your engineers. Every unqualified candidate who reaches a technical stage consumes an hour of senior engineering time, and that time is the scarcest resource in the process. The cost shows up as slipping schedules on the team doing the interviewing, which is why hiring often feels expensive in ways that do not appear in the recruiting budget.
What fixes it?
Three things fix most slow searches:
- Agree the scorecard before sourcing. Outcomes, competencies, evidence. Once, in writing.
- Cut requirements you would waive. Anything you would overlook for a strong candidate is a preference, not a requirement, and it is narrowing your pool for free.
- Make rejection informative. Feedback naming the competency that was thin redirects sourcing immediately; "not a fit" does not.
Why does the scorecard have such a large effect?
The scorecard converts a repeated subjective argument into a single decision made up front. Without it, the hiring bar is renegotiated on every candidate, and that renegotiation is where the calendar time goes. With it, sourcing has a target, screening has a standard, and rejections carry information back into the search.
How does Talentfinders approach this?
Every search starts with a scorecard built with your team, followed by domain-specific screening against that standard rather than a generic rubric, with shortlists revised on your feedback. Shortlists are delivered in three to five days, on a success-based fee of 25% of first-year salary, with no fee invoiced until the placed candidate completes the performance guarantee period.
Frequently asked questions
Why does it take so long to get a good shortlist?
Most delay comes from an undefined bar rather than a candidate shortage. When the brief is wide, sourcing produces volume, screening cost lands on engineers, and shortlists are assembled from whoever cleared an unclear standard. Defining the bar first is what compresses the timeline.
How fast can a technical shortlist realistically be delivered?
With a scorecard agreed before sourcing, a shortlist in three to five days is realistic for most gaming and AI engineering roles. Without one, the same search can take weeks, because the time goes into deciding what a good candidate looks like while candidates are already in the funnel.
Related reading
Contingency or retained search: which one fits your role
The two engagement models change who carries the risk, how the work is prioritised, and how quickly a search moves. Here is how to choose.
The hiring scorecard that makes technical searches fast
Most slow searches are not sourcing problems. They are definition problems. A scorecard built before sourcing is what compresses the timeline.
Reducing time to hire without lowering the bar
Speed and quality are not opposites in hiring. Most of the delay in a technical search sits in coordination, not in evaluation.
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