◆ ARENA LIVE DAILY LIFE SERIES DEMO THE HIRING CALL 08 OF 10 BEHAVIOURAL CAPTURE ACTIVE EVALUATION BIAS TRACKED SPRINT TIMER 90 SECONDS ◆ ARENA LIVE DAILY LIFE SERIES DEMO THE HIRING CALL 08 OF 10 BEHAVIOURAL CAPTURE ACTIVE EVALUATION BIAS TRACKED SPRINT TIMER 90 SECONDS
1:30
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Arena · Daily Life Series

The Hiring Call

Four candidates. One role. The data points in one direction. Your instinct points elsewhere.
Ninety seconds. Four evaluations. One hire.

90s
Sprint
4
Candidates
1
Role
4
Engagements
Arena records every rating, every change, and whether your final decision matches your own evidence.
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Every hire is a prediction. You're making one now.

Rate each candidate across four dimensions: technical skills, culture fit, growth potential, and communication. Then make the hire decision. Arena captures where your ratings cluster, whether your hire aligns with your scores, and the patterns in how you evaluate people under pressure.

Step 1 — The Shortlist

Four candidates. One role.

You've interviewed all four. Read your notes before the 90-second decision sprint.

The role

Senior Product Manager. Fast-growing fintech. The team needs someone who can ship fast, handle ambiguity, and bring structure. Salary band: £80–95k. Start date: 6 weeks. You have budget to make one hire.

Amara Osei
Product Lead · Series B startup
7 years experience. Launched 3 products from 0 to 1. Strong technical instincts. Interview felt polished but rehearsed — hard to get beneath the surface. References excellent. Asking £92k.
James Whitfield
Senior PM · FTSE 100
10 years experience. Deep process knowledge. Immediately likeable, easy to talk to. No startup experience — all enterprise. Might struggle with pace. Asking £85k.
Fatima Al-Rashid
PM · Mid-size tech company
5 years experience. Strong data skills, excellent written communication. Quiet in the interview — took prompting to open up. Team rated her highest in the technical exercise. Asking £80k.
Ryan Chen
Head of Product · Early-stage startup
8 years experience. High energy, creative thinker. Made bold claims in the interview — some unsubstantiated. Team was split. Asking £95k (top of band). References mixed.
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Arena tracks your evaluation framework and final decision alignment.

Rate each candidate on four dimensions, then make your hire recommendation.

Evaluations: 0 complete
1:30
remaining
+overtime
📋Candidate notes — tap to check▾
Amara: 7yr, strong track record, polished/rehearsed. £92k.
James: 10yr, likeable, enterprise only, no startup. £85k.
Fatima: 5yr, data/comms strong, quiet in interview, top technical score. £80k.
Ryan: 8yr, high energy, unsubstantiated claims, mixed refs. £95k.
1 = Weak 2 = Developing 3 = Good 4 = Exceptional
Amara Osei — Product Lead
Technical Skills
Good
3
Strong track record
Exceptional
4
3 launches, instincts
Culture Fit
Developing
2
Polished, hard to read
Good
3
Experienced, probably fine
Growth Potential
Developing
2
Senior already — ceiling?
Good
3
Strong trajectory
Communication
Developing
2
Rehearsed, not authentic
Good
3
Professional, polished
James Whitfield — Senior PM (Enterprise)
Technical Skills
Developing
2
Enterprise focus, less hands-on
Good
3
10yr deep process
Culture Fit
Good
3
Likeable, easy to work with
Exceptional
4
Immediately likeable
Growth Potential
Weak
1
10yr, similar trajectory
Developing
2
Might adapt to startup
Communication
Good
3
Clear, articulate
Exceptional
4
Strong communicator
Fatima Al-Rashid — PM (Data-strong)
Technical Skills
Good
3
Strong data skills
Exceptional
4
Top technical exercise score
Culture Fit
Developing
2
Quiet — hard to read
Good
3
Peer-rated well in exercise
Growth Potential
Good
3
5yr, still ascending
Exceptional
4
High ceiling, strong fundamentals
Communication
Developing
2
Quiet, needed prompting
Good
3
Excellent written comms
Ryan Chen — Head of Product
Technical Skills
Developing
2
Claims unsubstantiated
Good
3
Head of Product experience
Culture Fit
Developing
2
Team split — polarising
Good
3
High energy, some like it
Growth Potential
Developing
2
Already at Head level
Good
3
Creative, could grow further
Communication
Developing
2
Bold but unsubstantiated
Good
3
High energy presence
— Your recommendation —
Who do you recommend to hire?
Hire Amara Osei
£92k
7yr · Strong track record
Near top of band
Hire James Whitfield
£85k
10yr · Enterprise only
Likeable
Hire Fatima Al-Rashid
£80k
5yr · Top technical score
Lowest cost
Hire Ryan Chen
£95k
8yr · Mixed references
Top of band
0 of 4 evaluations complete
Arena · Post-Session Discovery

How you made the hire.

Four candidates. Ambiguous evidence. One recommendation.

Three questions
1. What mattered most in your final decision?
The scores I gave — I followed my own data
The interview impression — gut feeling prevailed
The salary — I factored in budget
2. Which candidate were you most uncertain about?
Amara — polished but hard to read
James — likeable but wrong background
Fatima — strong evidence but quiet presence
Ryan — bold but risky
3. Would you be confident defending this hire to the board?
Yes — the evidence clearly supports it
Mostly — with some caveats
Less sure — it was partly instinct
From the hiring call to every high-stakes evaluation
Who you hire when data is ambiguous reveals your evaluation framework more clearly than any easy case.

Investment decisions, partner nominations, board appointments — the same patterns that drive hiring under uncertainty drive every consequential evaluation. Arena surfaces whether you follow your own evidence, where interview affect overrides data, and what your default risk posture is when the signals are mixed.

Arena is designed to surface this. Same capture architecture. Applied to the decisions that define your organisation.