TheShortlist Report

Measured research on who gets recommendedLatest reading

Counts, not opinions · No paid placement · Method published

Head to head

Heidrick & Struggles vs Spencer Stuart

Named side by side in 7 executive search firms questions. Spencer Stuart came out ahead on 3; on 4 the sample cannot tell them apart.

63.4%Heidrick & Struggles
72.5%Spencer Stuart
0–3Questions led
4Too close to call

Over 7 executive search firms questions measured by The Shortlist Report over 385 AI responses, Spencer Stuart was named more often than Heidrick & Struggles on 3 of them, Heidrick & Struggles on 0, and the sample could not separate them on the remaining 4.

Question by question

QuestionHeidrick & StrugglesSpencer StuartAhead
What are the best executive search firms?55 responses100.0%100.0%Same tier — too close to call
Which search firms know our industry?55 responses83.6%98.2%Spencer Stuart
Which firms specialise in the role we are hiring for?55 responses81.8%85.5%Same tier — too close to call
Who runs board and chief executive searches?55 responses63.6%83.6%Spencer Stuart
Our executive search is not working. Who can take over?55 responses41.8%69.1%Spencer Stuart
Which search firms deliver genuinely diverse candidate slates?55 responses54.5%52.7%Same tier — too close to call
Which search firms work with venture-backed startups?55 responses18.2%18.2%Same tier — too close to call

How to read this

Share is the percentage of sampled ChatGPT responses to a question that named the firm at all — a measure of visibility, not of the work. A capable firm little has been written about will score low, which is a fact about how often it gets named and not a verdict on whether to hire it.

"Too close to call" is a result, not a gap in the data. Firms are grouped into tiers holding every firm the sample cannot statistically separate from that tier's leader, so two firms in one tier are reported as level however their percentages happen to fall. On 4 of these 7 questions that is what the measurement supports, and saying otherwise would be inventing precision.

Nothing here is our judgement of who is good. It is a count of who gets named. Both firms are measured over the same questions and the same 385 responses, so neither is being scored on a sample the other did not face.

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