Self-awareness
Understanding impact, responding to feedback, and adapting behaviour. Leaders who see themselves clearly make better decisions and build stronger teams.
Executive Leadership Assessment
You are replacing senior hires too frequently. Leadership failures reshape your culture and your forecast. Structured assessment identifies the quiet markers of leadership success before the contract is signed.
Sample output — ELA
Illustrative example. Two independent methods — an online form and a structured verbal assessment — are weighted evenly, then reviewed by a person before anything is released.
The problem
A bad senior hire is rarely a single line on a budget. It costs six to nine months of salary in direct terms, and then it costs the quarter that stalls, the team that waits, the customers who notice, and the decisions nobody makes while the seat is being refilled. In a high-leverage role, the second bill is always larger than the first.
Most senior interview judgements form in under thirty minutes. What follows is usually the search for evidence to support a conclusion already reached. That is not a failure of the people in the room; it is how human judgement works under time pressure and social performance. Without structure, the interview measures rapport as much as it measures capability.
Interviews also reward fluency — the ability to narrate experience persuasively. Fluency is a genuine skill, and it is distributed unevenly. Leadership, however, requires character: what someone does with a trade-off, an inconvenient fact, or a person who has disappointed them. These are not the same thing, and only one of them shows up reliably in a conversation.
How it works
The Executive Leadership Assessment combines two independent methods. An online assessment of roughly sixty minutes puts the candidate through judgement scenarios, forced-choice blocks, trade-off rankings and written reasoning. A structured verbal assessment of about sixty minutes then explores the same territory in conversation, against a fixed protocol.
Both methods are scored separately against the same six leadership expectations, and weighted equally in the integrated result. Neither can quietly dominate the other, and neither is treated as the corrective for the other.
Where the two methods diverge, we report the divergence rather than average it away. A candidate who reasons carefully on paper but improvises under live questioning is telling you something useful. Divergence is a signal, not noise.
The result is a comprehensive, defensible profile of leadership capability, judgement quality and behavioural risk — grounded in two sources of evidence rather than one impression.
What we measure
ELA measures leadership across six core expectations. Each is defined behaviourally and evidenced through multiple methods.
Understanding impact, responding to feedback, and adapting behaviour. Leaders who see themselves clearly make better decisions and build stronger teams.
Setting standards, defining outcomes, and creating accountability. The difference between a function and a bottleneck.
Creating commitment, energy, and resilience in others. Especially critical during uncertainty and change.
Identifying, developing, and deploying people objectively. The single most reliable early marker of team stability.
Evaluating strategic options, making trade-offs, and translating direction into action. Predicts whether a leader can hold a direction long enough for others to follow.
Ethical judgement, fairness, transparency, and responsible use of authority. Non-negotiable in high-leverage roles.
The output
ELA does not produce a pass or a fail, and it does not rank your shortlist for you. It produces a profile: what this person is likely to do well, where they are likely to struggle, and under what conditions each becomes more probable.
The report carries dimension scores on a one-to-five scale, a stated confidence level for each, and diagnostic themes that explain how the leader delivers outcomes rather than simply whether they do. You are told how much weight a result deserves before you are told what it says.
Risk signals — integrity concerns, derailment indicators, unusual response patterns — are flagged for human review. They prompt a closer look and a better question; they never trigger a rejection on their own.
Each report closes with recommended lines of enquiry for your final conversations, not a recommendation to hire. A person decides, with better evidence in front of them.
Sample output — ELA
Illustrative example. Two independent methods — an online form and a structured verbal assessment — are weighted evenly, then reviewed by a person before anything is released.
Anonymised sample output. Full example reports are shared on request during an introductory conversation.
Why this matters
Polish, pace and pedigree are easy to notice, which is precisely why they dominate interviews. They are also weakly predictive. The loudest signals in the room are rarely the ones that forecast what happens eighteen months later.
What a person does with a genuine trade-off, how they describe someone who disappointed them, whether they correct themselves unprompted, what they choose to protect when something has to give — these are quiet signals with long shadows. They are hard to perform, and they travel with the person into the role.
ELA surfaces these signals deliberately, through structured scenarios that force a choice, forced-choice patterns that resist impression management, and written reasoning that shows the working rather than the conclusion.
The result: you hire for capability, not charisma.
Trade-off behaviour
What gets protected when something has to give.
Response to refusal
How authority is used when the answer is no.
Attention to others
Whether other people appear in the reasoning at all.
Self-correction
Revising a position without being pushed to.
Governance
Every assessment is reviewed by a trained human before release. AI-assisted scoring produces a draft against a published rubric; a reviewer reads the evidence and either confirms it or overrides it with a recorded rationale. Nothing reaches a decision-maker unreviewed.
Demographic information is captured separately from assessment data and is never an input to scoring or to any model. It exists only so organisations can monitor their own hiring for adverse impact.
Every material action is logged and auditable: who accessed a record, what was overridden and why, when a report was approved or exported, and which adjustments were granted.
AI assists; humans decide. A trained reviewer confirms or overrides every draft score, with a written rationale on record.
Adjustments are supported throughout and recorded against the sitting, so a reviewer reads the result in context.
Defined measurement frameworks, consistent scoring rules, and an append-only audit trail behind every result.
Read more in our trust and governance centre.
Next steps
Tell us about the role. We will show you the evidence you are missing, share an example report, and discuss what a pilot would look like.