TTI — Total Talent Intelligence
The methodology I use when the problem is a talent intelligence gap.
TTI is one of the ways I work — a sprint-based methodology for closing the specific gap between the talent data organisations already collect and the board-ready intelligence they actually need. Talent management advisory more broadly is scoped to your brief; TTI is what I reach for when data and succession visibility is the problem itself.
The Succession Gap
Most organisations capture more people data than ever. None of it answers the question that matters under pressure.
HRIS records every transaction. Performance systems log every review. Succession slides go to the board each quarter. None of it tells you who is ready, right now, if a critical role becomes vacant.
Average first-time succession risk score
Average on first assessment, before any intervention — seen at organisations from a few hundred employees to FTSE100 scale.
The Broken Processes
Every organisation runs the same broken processes. None of them were designed to tell the board who's actually ready.
HRIS. Performance management. Engagement surveys. Succession planning trackers. Psychometric assessments. Often a separate L&D platform on top. Most organisations are already running several of these — and the worst part is none of them talk to each other. The board asks a succession question; HR opens three different systems, pulls three different outputs, and assembles an answer that was partially out of date the moment it was created.
HRIS REPORTING
Configured for transactions, not decisions.
Your HRIS knows every role, every hire, every salary change. It cannot tell you who is ready for the CEO role if the current one resigns tomorrow. The data is there. The intelligence architecture is not.
HRIS REPORTING
Configured for transactions, not decisions.
Your HRIS knows every role, every hire, every salary change. It cannot tell you who is ready for the CEO role if the current one resigns tomorrow. The data is there. The intelligence architecture is not.
The structural flaw
Role-based, not person-based.
HRIS is structured around jobs, not individuals. It can tell you a role is vacant. It cannot rank who is ready to fill it.
The signals that matter are missing.
It's not that HRIS forgot to capture mobility, AI-readiness, or leadership potential — it was never designed to. HRIS records what happened to a role. It was never built to predict the future in roles that may not even exist yet.
No cross-system aggregation.
Succession-relevant insight is spread across HRIS, performance, engagement, and L&D systems. No standard HRIS joins them into an intelligence view.
A scenario
A Chief People Officer is asked by the board: "If our CFO resigned today, who is ready?" They open five systems, spend three days pulling data, and return with a PDF that raises more questions than it answers.
INTEGRATION
Blocked twice over — by the vendors, and by your own data privacy rules.
Even where a technical bridge between two systems exists, it usually can't be built anyway — not without a data-sharing justification, a DPA review, and a security sign-off most HR teams have neither the time nor the mandate to chase. So the systems stay separate not because nobody's tried, but because trying properly is its own multi-month project.
INTEGRATION
Blocked twice over — by the vendors, and by your own data privacy rules.
Even where a technical bridge between two systems exists, it usually can't be built anyway — not without a data-sharing justification, a DPA review, and a security sign-off most HR teams have neither the time nor the mandate to chase. So the systems stay separate not because nobody's tried, but because trying properly is its own multi-month project.
The structural flaw
No shared data model.
Each system was bought separately, for a separate job — there was never a plan for them to talk to each other, so there's no common structure to connect them through.
Privacy makes the fix harder, not easier.
The more sensitive the data, the more scrutiny any integration attracts — which means the systems most worth connecting are the hardest to get permission to connect.
"Just export it" isn't a strategy.
The fallback is always the same: someone manually pulls a CSV from each system and joins them by hand, every time, with no audit trail and no repeatability.
A scenario
An HR analytics lead wants to join succession data with a psychometric assessment platform. IT flags it as a data-sharing request. Legal wants to see the justification. Three months later, the join still happens by hand, in a spreadsheet, the night before the board pack is due.
PERFORMANCE CYCLES
Backward-looking by design.
Your performance data tells you who performed well last year. It does not tell you who is ready for the next role, who has the AI-readiness to lead through transition, or who is quietly disengaging. It was never designed to.
PERFORMANCE CYCLES
Backward-looking by design.
Your performance data tells you who performed well last year. It does not tell you who is ready for the next role, who has the AI-readiness to lead through transition, or who is quietly disengaging. It was never designed to.
The structural flaw
Backward-looking by design.
The rating isn't wrong — it's just answering last year's question. Ask it about next year's role, a crisis, or an AI-driven shift, and it was never built to answer that at all.
Manager-scored, not calibrated.
Without cross-functional calibration, performance scores reflect manager style as much as individual performance. The same output earns a 3 in one team and a 5 in another.
Disconnected from succession and mobility.
Performance data sits in its own system. It is rarely integrated with succession data, mobility preferences, or AI-readiness signals — the combination that actually predicts pipeline strength.
A scenario
An organisation believes its leadership pipeline is strong — average performance rating across the top 50 leaders is 4.1 out of 5. Six months later, three critical roles are vacant and the internal pipeline produces zero viable successors.
ASSESSING POTENTIAL
Performance tells you what happened. Almost nothing tells you who's actually ready.
Potential isn't performance, but most organisations only measure the thing that's easy to measure — last year's results — and treat it as a proxy for readiness. Without a calibrated, objective way to assess potential separately from performance, "who's ready for what's next" defaults to opinion, visibility, and who the room happens to like.
ASSESSING POTENTIAL
Performance tells you what happened. Almost nothing tells you who's actually ready.
Potential isn't performance, but most organisations only measure the thing that's easy to measure — last year's results — and treat it as a proxy for readiness. Without a calibrated, objective way to assess potential separately from performance, "who's ready for what's next" defaults to opinion, visibility, and who the room happens to like.
The structural flaw
No shared definition of "potential," "ready," or "succession."
Ask five leaders what "high potential" means and you'll get five different answers — performance, visibility, or simply who reminds them of themselves. "Ready now" is just as loosely defined, and even "succession" gets used to mean a formal plan in one meeting and a name mentioned once in a corridor in the next. Without agreed definitions, calibration isn't comparing people against a shared standard — it's comparing five private ones against each other.
High performance gets mistaken for high potential.
They're correlated, not the same thing — and conflating them promotes people into roles they're not actually suited for.
It's decided once a year, in a room, from memory.
By the time the calibration session happens, half the read on each person is already stale.
A scenario
A mid-sized enterprise presents its succession plan in a board meeting. Two of the named successors have since given notice. The board does not know. The HR team does not realise the board does not know.
The Cost of a Succession Blind Spot
£10M+Average annual cost for a 500-person organisation.
Based on 40% of payroll. Actual cost varies by headcount, role criticality, and vacancy rate — most of it comes from people still on the payroll, not the hire that failed.
Failed Succession Hire
Wrong person placed in a critical role. Average 18 months to recover — severance, search fees, and the drag of misaligned leadership.
Korn Ferry / SHRM research
Leadership Vacancy Drag
Role empty or interim-filled. Teams in limbo. Decisions deferred. Every week unfilled, the cost compounds.
Deloitte Global Human Capital Trends
Bench Strength Gap
No identified readiness below the leadership tier. When a vacancy appears, the organisation freezes.
McKinsey Organisational Health Index
Succession Consultant Dependency
Annual spend on external search because the internal pipeline is invisible — the data to find them already exists.
Average retained search cost estimate
Psychological Safety Collapse
Opaque succession creates political behaviour, not collaboration. High-potential leaders optimise for visibility instead.
HBR / Google re:Work
Board Intelligence Deficit
Investors, NEDs and regulators increasingly ask: "Who are your successors for the top five roles?" A slide is no longer enough.
FRC Corporate Governance Code 2024
The Succession Risk Score
Five bands. One clear picture.
The Succession Risk Score (0–100) gives every organisation a single, calibrated view of succession health — comparable across assessments and over time.
Critical
0–24
£5M+
No live succession intelligence. Board questions answered with slides.
High Risk
25–44
£2M–£5M
Succession plan exists but is opinion-based, annual, disconnected from performance data.
Developing
45–64
£500K–£2M
Some succession process in place but not integrated across systems.
Managed
65–84
£100K–£500K
Succession is structured and evidence-informed. Gaps are visible and managed.
Intelligence-Led
85–100
<£100K
Live talent intelligence layer in place. Board sees the picture in real time.
The Process
Four stages. One intelligence journey.
Understand the business question before touching a single tool.
A working session to define what the business actually needs to know — which roles are critical, what's driving the urgency (a board question, an AI shift, a succession gap), what "good" looks like for this organisation specifically. No solution gets selected before this is clear.
An initial audit of what talent data and systems already exist · Critical roles and business priorities identified · Stakeholders aligned on what "good" looks like · Scope and success criteria agreed before any tool is chosen.
Total Talent Intelligence: gather the data, run the audit, see what's actually there.
The core of the work. Existing HR and performance data, plus psychometric assessments — some built by me, some already licensed from established providers — Korn Ferry, IMD, SHL, Hogan, Saville Assessment, DDI, or whichever your organisation already uses — get pulled into one view. The Succession Risk Audit is the focused entry point: a structured diagnostic of succession coverage and risk, scoped to weeks, not a data replatforming project.
Master dataset established and version-controlled · Critical roles and capabilities mapped · Assessment signals reconciled where tools disagree · A Succession Risk Score the board can actually interrogate.
TMAP: calibrate what the data says against what leaders actually know.
A facilitated forum — proven at Veolia, run repeatedly since — where leaders review the data together, compare it with judgement and business context, and objectively agree who's ready for what. Potential gets defined and calibrated here, not decided from memory in a room once a year.
A facilitated TMAP workshop · Live calibration using the totalia dashboard, visible to the room as decisions are made · Peer challenge, not one manager's opinion · A visual talent map and development priorities agreed before anyone leaves.
The right people, in the right roles — tracked, not just reported once.
Calibrated decisions become development plans, succession slates, and mobility moves. totalia keeps the picture live and exports board-ready decks on demand, so the next board question doesn't mean rebuilding the answer from scratch.
Development plans, succession slates, and mobility moves agreed · Ongoing tracking, not a one-off snapshot · Board-ready decks exported on demand · The picture stays current as the organisation changes.
Frequently Asked
The questions boards ask.
What is the Succession Gap? +
The structural space between the talent data organisations already collect — from HRIS, performance systems, and succession slides — and the intelligence their boards actually need to manage succession risk. Most organisations have the data. They lack the architecture to turn it into decisions.
What is the Succession Risk Audit? +
A structured diagnostic for identifying, quantifying and prioritising succession risk across critical roles. It assesses five dimensions: succession visibility, data quality, calibration rigour, board readiness, and cost exposure. The output is a Succession Risk Score (0–100), an estimated annual cost, and a prioritised intervention roadmap.
How is the Succession Risk Score calculated? +
A calibrated composite of five dimensions: succession visibility (do you know who is ready?), data quality (is your people data fit for intelligence?), calibration rigour (are readiness views evidence-based?), board readiness (can you answer the succession question under pressure?), and cost exposure. Scores run from 0 (Critical) to 100 (Intelligence-Led).
Why do annual succession reviews fail? +
Three structural reasons: they are opinion-based rather than evidence-based; they are disconnected from live performance, mobility, and AI-readiness data; and they produce a document rather than a decision-making tool. By the time the slide reaches the board, the information is already partially out of date.
Is TTI the only way you work? +
No. TTI is the methodology I reach for when the specific problem is a talent intelligence gap — fragmented data, no board-ready succession view. Talent management advisory more broadly is scoped to your brief, and often runs alongside or instead of a TTI sprint. See Case Studies for the range of what that's looked like in practice, or Solutions for how TTI is actually delivered.
What does a TTI engagement cost and how long does it take? +
Delivered as a structured consulting engagement — sprint-based: Data Sprint → Succession Intelligence → TMAP Calibration → AQ Leadership Readiness. Most organisations see visible output within 4–8 weeks. Pricing is scoped to organisation size and complexity. Book a diagnostic call to discuss your context.
Recognise the gap?
The diagnostic call is where we find out if TTI is the right fit.
45 minutes. No deck, no pitch. A sharp conversation about your succession and talent data situation.
Book a Diagnostic Call