This article integrates Karthik Ramma’s framework, The Age of Outrage, on the current context of turbulence into enterprise architecture, particularly through TOGAF’s Business-Transformation Readiness technique, which helps organizations understand and manage the risks associated with societal and organizational pressures in the modern age of outrage.
This overview provides a foundation for understanding how outrage is reshaping leadership and transformation efforts. It stresses that effective management of this “age of outrage” requires not only operational expertise but also strong leadership virtues, clear communication, and adaptive governance strategies.
1 What does Ramanna’s framework add to the “age-of-outrage” conversation?
Ramanna argues that today’s CEO operates in a systemic, perpetual crisis marked by three structural causes—fear of the future, perception of a raw deal, and ideologies of othering—and must respond with a five-step playbook: turn down the temperature, make sense of the moment, bound the response, implement through prosocial power, and rebuild resilience.
The framework also stresses (i) the need to audit implicit promises, (ii) heightened stakeholder vigilance toward hypocrisy, and (iii) the under-appreciated virtue of temperance in leadership.
2 Mapping those ideas to ArchiMate 3.2 (Motivation + Strategy layers)
Article concept | Closest ArchiMate 3.2 element | Example instantiation |
Fear of the future (AI, climate, demographics) | External Driver | “Disruptive socio-tech anxiety” |
Perception of a raw deal | External Driver | “Perceived economic unfairness” |
Ideologies of othering | External Driver | “Societal tribalism” |
Heightened stakeholder vigilance | Stakeholder + Assessment | “Activist customer segment” / “Low trust score” |
Need to “turn down the temperature” | Goal (short-term) → Outcome (reduced outrage incidents) | |
“Make sense of the moment” w/ diverse advisors | Capability (Sense-making & scenario scanning) and Resource (Trusted advisory network) | |
Bounding the response via explicit/implicit commitments | Constraint (Brand promise guard-rails) | |
Prosocial power deployment | Course of Action (Engage-not-order approach) | |
Rebuilding resilience | Capability (Organisational resilience) leading to Outcome (Sustained performance under outrage) | |
Leadership virtue “temperance” | Modeled today only as a Capability attached to the CEO actor |
Take-away: Nearly every theme can be expressed with the standard palette—no new abstract metaclasses are strictly required.
3 Where the standard metamodel feels thin
Gap | Why it matters in the age of outrage |
Collective emotional climate is only an implicit driver | The temperature of public sentiment changes far faster than most “drivers” envisaged in ArchiMate. |
Personal leadership virtues (temperance, courage, justice, wisdom) are not first-class citizens | Ramanna treats them as repeatable capabilities essential to strategy execution. |
Outrage risk / reputational temperature lacks an obvious home | Reputational context fluctuates hour-by-hour and is measurable (sentiment analytics). |
Implicit promises that bind future choices straddle Driver, Constraint and Requirement, but none captures the “hidden contractual” flavour. | |
Power-map analysis (who can block/support action) is richer than a simple Stakeholder-Assessment pairing. |
4 Light-weight extensions you can add (custom stereotypes)
Proposed element (ʺwhat to addʺ) | Specialization of | Informal definition / modelling advice |
<<EmotionalDriver>> Emotional Climate | Driver | The prevailing collective mood (e.g., “Societal Outrage Level”) derived from real-time sentiment analytics. |
<<VirtueCapability>> Leadership Virtue | Capability | A repeatable, individual-centric behavioural capacity such as Temperance, Courage. Attach to Actor “CEO”. |
<<OutrageRisk>> Reputation Temperature | Assessment or Performance Indicator | Quantified probability that stakeholder outrage will ignite this quarter (input: social-listening score). |
<<CommitmentConstraint>> Implicit Promise | Constraint | Non-contractual but publicly recognised obligations that limit strategic degrees of freedom. |
<<PowerAssessment>> Stakeholder Power Map | Assessment | Matrix that ranks stakeholders by influence vs. alignment, reused by multiple Courses of Action. |
These extensions leave the core language intact; they are simply stereotyped specialisations you can colour or tag distinctly in your modelling tool.
5 Practical modelling tips for the CEO scenario
- Set up a Motivation view with the three structural <<EmotionalDriver>> elements feeding a central Goal “Maintain licence to operate”.
- Add a Strategy view where the CEO Actor owns VirtueCapabilities (Temperance etc.) that realise Courses of Action (5-step playbook).
- Represent the OutrageRisk indicator as an Assessment linked to the Goal; connect live sentiment dashboards to keep it updated.
- Place CommitmentConstraints next to Brand Strategy so architects see which responses are “pre-decided”.
- Use PowerAssessment to colour each Stakeholder node in a navigation view (green = ally, red = spoiler).
6 Verdict
ArchiMate 3.2 lets you model 90 % of what Ramanna describes without modification.
For the last mile—capturing fast-moving public emotion, virtue-centred leadership capabilities, and implicit social contracts—introduce the five lightweight stereotypes above. They preserve compatibility with the standard, keep diagrams readable for non-architect executives, and make the challenges of a CEO in the age of outrage explicit, measurable, and actionable.
Below is a readiness-factor short-list that combines the classic TOGAF Business-Transformation Readiness lenspubs.opengroup.org with the new pressures highlighted in Karthik Ramanna’s Age-of-Outrage framework (fear of the future, perception of a raw deal, othering, 5-step playbook, temperate leadership, etc.).
I keep the familiar TOGAF rating idea—Importance (how essential to change success) and Inherent Risk (probability/severity of derailment if neglected)—but calibrate both for a large, complex, global enterprise operating under perpetual scrutiny.
# | Factor tailored to the Age of Outrage | Why it matters now | Importance | Inherent risk |
1 | Stakeholder-Sentiment Volatility (real-time outrage index, external & internal) | Hyper-connected publics can weaponise grievances in hours; sentiment swings drive brand and talent flight. | Critical | Extreme |
2 | Leadership Temperance Capability (virtue to turn down the temperature) | Ramanna’s most under-developed but pivotal virtue; CEOs who react impulsively pour fuel on outrage. | Critical | High |
3 | Outrage-Response Muscle (24 × 7 narrative command centre + playbooks) | Ability to bound response, deploy prosocial power, and avoid over-reaction. | High | High |
4 | Implicit-Commitment Governance (catalogue of past pledges & values promises) | Hidden promises limit strategic degrees of freedom; hypocrisy is punished fast. | High | High |
5 | Activist-Employee Alignment | Employees often trigger or amplify external outrage when values clash with leadership actions. | High | High |
6 | Trust & Transparency Engineering (data, ESG, AI ethics dashboards) | Fear of the future + perception of raw deal means opacity is read as deceit. | High | High |
7 | Psychosocial Resilience Programs (burnout & crisis-fatigue mitigation) | Continuous outrage cycles exhaust key talent and leaders; resilience is step 5 of the playbook. | High | Medium |
8 | Power-Map Intelligence (who can block/help, incl. regulators & digital platforms) | Ramanna stresses power analysis before acting; stakeholder power shifts daily in social media age. | Medium | High |
9 | Rapid-Decision Governance & Delegation | Slow, committee-heavy structures leak time while outrage escalates; must enable bounded autonomy. | Medium | High |
10 | Global Geo-Cultural Radar (local “othering” triggers, speech codes, political seasons) | What calms outrage in one region may inflame another; multinationals need fine-grained awareness. | Medium | Medium |
11 | Ethical-Tech Impact Preparedness (AI/quantum disruption scenarios) | Fear-of-future driver centres on tech; clear stances and mitigation paths reduce existential anxiety. | Medium | Medium |
12 | Brand Purpose Coherence & Proof | Heightened vigilance for brand hypocrisy; coherence between talk and walk is scrutinized in seconds. | Medium | Medium |
How to use the list
- Map to TOGAF artefacts – Treat each factor as a readiness factor in Section 8.4 of the TOGAF technique, adding factor-specific maturity models and mitigation actions into Phases E/F.
- Rate importance & risk locally – The table is calibrated for a typical Fortune-200–sized enterprise; adjust weighting in workshops with regional execs, employee groups, and key external partners.
- Embed in migration planning – High-risk factors become explicit constraints, requirements, or courses of action in your ArchiMate strategy/motivation views; link them to the lightweight stereotypes suggested earlier so architects see the outrage context at a glance.
- Re-assess quarterly – Sentiment volatility and power maps age quickly; schedule a lightweight refresh every three months (or sooner when a flashpoint occurs).
Result: You keep the rigour of TOGAF’s readiness discipline while shining a spotlight on the unique social-trust, speed, and virtue-led challenges a CEO faces in today’s age of outrage.
Sources
TOGAF expects capability and readiness concerns to surface in Phase A: Architecture Vision, so that strategic risks are visible before heavy investment begins. Below is a quick-start recipe for weaving the “Age-of-Outrage” factors into Phase A deliverables, followed by an illustrative early-risk log you can drop straight into your Architecture Vision package or Statement of Architecture Work.
1 Where the assessment fits in Phase A
Phase A activity (TOGAF 10 / 9.2) | How to inject the Age-of-Outrage lens |
Establish the Architecture Project | Add Outrage Context Statement: one-page summary of societal volatility, implicit brand promises, and CEO leadership virtues that frame the transformation. |
Identify Stakeholders & Concerns | Extend the stakeholder matrix with: • Activist-Employee segments • Outrage amplifiers (NGOs, social-media tribes) • Real-time Sentiment Owners (Comms/Ops) |
Assess Business Capabilities & Readiness | Score the 12 outrage-readiness factors (see earlier list) alongside standard capability maturity; highlight “Temperance Capability” and “Outrage-Response Muscle” gaps. |
Define Constraints & Assumptions | Record Implicit-Commitment Constraints (past pledges, stated values) so architects see the invisible guard-rails early. |
Develop the Architecture Vision | Express high-level outcomes such as “Maintain Licence to Operate amid High Volatility” and link them to the above constraints and capability gaps. |
Create the Risk Log (core Phase A output) | Add each readiness gap as a Strategic Risk Item with likelihood, impact, and initial mitigation (see sample below). |
2 Sample Phase A Risk Log (excerpt)
ID | Risk item (rooted in readiness factor) | Likelihood | Impact | Early mitigation / owner |
R-01 | Stakeholder-Sentiment Volatility — sudden social-media backlash derails transformation narrative | High | Extreme | Stand-up 24×7 narrative command centre; integrate sentiment dashboard into PMO reporting (Comms Dir) |
R-02 | Leadership Temperance Gap — CEO or ELT reacts impulsively, amplifying outrage | Medium | High | Executive coaching; embed “cool-down” step in escalation SOP (CHRO) |
R-03 | Implicit-Commitment Conflicts — new architecture choices violate past ESG promises | High | High | Catalogue all public pledges; add compliance gate in Solution-Review Board (Chief Sustainability Officer) |
R-04 | Activist-Employee Mis-alignment — internal dissent leaks externally, harming employer brand | Medium | High | Two-way listening forums; include employee reps in design thinking sprints (HRBP) |
R-05 | Outrage-Response Muscle Immature — crisis playbooks untested across regions | Medium | High | Run “outage war-games” in Q2; map local escalation contacts globally (COO) |
R-06 | Power-Map Blind-spot — unseen regulator or NGO stalls a rollout | Low | High | Maintain dynamic stakeholder power map; refresh quarterly (Public Affairs) |
R-07 | Psychosocial Burnout — continuous volatility exhausts key architects & SMEs | High | Medium | Resilience programme; rotating “red-team/blue-team” roster to spread load (PMO) |
Rating scale (tailor to your risk-management standards)
Likelihood: Low / Medium / High / Very High
Impact on Transformation: Moderate / High / Extreme
3 Deliverable pointers
- Architecture Vision document
- Summarise the top three outrage-related risks and the capabilities to build (temperance, narrative command centre, trust dashboards).
- Show a capability heat-map that overlays conventional business capabilities with outrage-specific gaps.
- Statement of Architecture Work
- Include an early mitigation work-package for each “High/Extreme” risk (budget, timelines, owner).
- Flag dependencies (e.g., sentiment-analytics tooling) that must be in place before Phase B deep-dives.
- Risk Log (living artefact)
- Reviewed at every gate; hand-off to Programme Management but keep architects in the loop because design decisions can spike or reduce these risks.
Bottom line
By folding the Age-of-Outrage readiness scan into Phase A you:
- Surface strategic no-go areas before solution designs harden.
- Anchor the architecture in real-world reputational constraints and CEO leadership realities.
- Give programme sponsors a clear, quantified view of the social-trust risks they must fund from day one—not discover in Phase E/F when options are costly to change.
Feel free to adapt the table structure or rating language to match your organization’s risk-management framework, but keep the spirit: identify outrage-driven risks early, own them, and bake mitigations into the very first architectural vision.
1 Why digital (and broader) transformations so often go off-the-rails
Research and front-line accounts converge on a handful of recurring root causes:
# | Root cause | Representative evidence |
1 | Weak or outdated governance—especially of data | Gartner says 80 % of digital transformations “fail to deliver … often due to poor governance and modern data-governance gaps”mi-3.com.au |
2 | Insufficient leadership aspiration and engagement | McKinsey lists “insufficiently high aspirations” and “lack of engagement” among the top reasons 70 % of transformations failMcKinsey & Company |
3 | Under-investment in capability building | Same McKinsey source cites “insufficient investment in building capabilities across the organisation”McKinsey & Company |
4 | Cultural inertia & change-fatigue | Behavioural resistance is highlighted as a make-or-break factor in McKinsey’s “mind-sets matter” workMcKinsey & Company |
5 | Wrong or conflicting metrics (“the whirlwind”) | Executives warn that busywork KPIs distract from “wildly important goals” and stall changemi-3.com.au |
6 | Poor vision-storytelling & communication | Successful programmes share a crisp “change story” and leadership role-modelling; absence of either correlates with failureMcKinsey & Company |
7 | Capability/tech mismatch & complexity creep | Large enterprises (>50 k FTE) see success rates collapse to single digits when scope is broad and tech adoption fragmentedMcKinsey & Company |
8 | Stakeholder trust & reputation shocks | Data breaches, ESG back-flips or social-media backlashes derail momentum (Mi3 notes brand crises, regulator pressure, etc.)mi-3.com.au |
(Where the table references “absence of success factors” we infer root causes from the negative side of McKinsey’s success research.)
2 Does the Age-of-Outrage Business-Transformation Readiness (BTR) scan mitigate those risks?
Below is a quick root-cause ↔ readiness-factor cross-walk. Green ticks show a direct control; amber dashes show partial help; blanks mean you’ll need extra mitigation.
Root cause ↔ Readiness factor (from our 12-factor list) | Stakeholder-Sentiment Volatility | Leadership-Temperance Capability | Outrage-Response Muscle | Implicit-Commitment Governance | Activist-Employee Alignment | Trust/Transparency Engineering | Psychosocial Resilience | Power-Map Intelligence | Rapid-Decision Governance | Global Geo-Cultural Radar | Ethical-Tech Prep | Brand Purpose Coherence |
1 Governance gaps | — | — | ✓ (playbooks) | ✓ | — | ✓ | — | — | — | — | — | ✓ |
2 Leadership aspiration / engagement | ✓ (sentiment lens forces C-suite attention) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | — | ✓ | ✓ |
3 Capability shortfall | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | — | ✓ | ✓ |
4 Cultural inertia | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ |
5 Wrong metrics | ✓ | ✓ | ✓ | ✓ (catalogue promises → right KPIs) | ✓ | ✓ (trust dashboards) | — | — | ✓ | — | — | ✓ |
6 Poor change story & comms | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ |
7 Complexity creep | ✓ | — | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
8 Trust / reputation shocks | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
3 Why the scan does strengthen change-management firepower
- Front-loads intangibles
By quantifying sentiment volatility, implicit promises and virtue-based leadership gaps in Phase A, architects and programme owners treat reputation & trust as design constraints, not after-thoughts. - Gives CEOs a personal capability dashboard
The Leadership Temperance factor reframes “tone at the top” as a trainable capability—aligning with research that shows leadership role-modelling is among the strongest success predictors. - Links governance to social licence
Outrage-response muscle, trust dashboards, and explicit commitment catalogues close the governance gap flagged by Gartner and Mi3, turning a fuzzy reputational risk into measurable OKRs. - Builds cultural & psychosocial resilience early
Continuous outrage cycles are a hidden drag on energy and adoption rates; scoring resilience maturity prompts pre-emptive investment in capability-building and well-being programmes (root cause 3 & 4). - Accelerates decision loops
Power-map intelligence + rapid-decision governance target the bureaucracy and scope-creep traps that sink large-enterprise transformations.
4 What still needs attention
- Deep tech-integration planning (data architecture, integration pipelines) sits below the BTR scan and must be covered in Phase B/C.
- Funding discipline—the scan spots cultural and reputational landmines but doesn’t force capital-allocation trade-offs; that remains the CFO’s remit.
- Hard-core project execution risks (schedule slippage, vendor failure) require traditional delivery assurance frameworks.
5 Bottom line
Most of the classic root causes of digital-transformation failure—governance gaps, weak leadership engagement, cultural resistance, trust shocks—are either directly neutralised or substantially dampened by the Age-of-Outrage BTR assessment executed in Phase A.
By embedding these factors into the Architecture Vision and risk log, you give change sponsors a clear line of sight from intangible social risks to concrete mitigation work-packages, boosting the odds of success and shortening reaction time when the next outrage flares up.
Sources
Why “implicit promises” deserve an audit
Karthik Ramanna warns that a company’s unstated or half-stated commitments can hard-wire it to lean into—or stay silent on—future controversies, long before formal strategy reviews catch up. Doing a structured implicit-promise audit turns that invisible liability into something you can see, debate, and actively manage.
A six-step audit playbook
Step | What you do | How you do it | Typical output |
1. Define “promise” types & scope | Agree what counts: brand values, long-running tag-lines, CEO speeches, CSR pledges, employee-value propositions, product guarantees, historical actions that set expectations. | Short workshop with Comms, Brand, Legal, HR, Sustainability, Strategy. | Promise taxonomy & audit charter |
2. Harvest the evidence base | Collect every artefact where the organisation “tells the world who we are” (last 10 yrs is typical): • Annual & ESG reports • Marketing/PR campaigns • Social-media posts • Executive interviews • Lobbying submissions • Major community investments |
• Use a crawler/NLP script to pull public web content. • Mine intranet + speech archives. • Interview long-tenure staff (“tribal memory”). |
Raw promise repository (share-drive / knowledge graph) |
3. Extract and normalize claims | Parse the corpus for phrases starting with we believe, we commit, our purpose is, we never, we always, etc. Cluster by theme (environmental, DEI, privacy, pricing fairness, safety…). | • NLP keyword + sentiment model • Manual tagging sprint to refine clusters |
Themed promise register with source links |
4. Validate with stakeholders | Test the register against how others remember it: customers, regulators, NGOs, employee groups. Ask: “What do you think this company has implicitly promised you?” | • Rapid stakeholder survey / focus groups • Social-listening sentiment check |
Adjusted register + “expectation deltas” |
5. Assess strategic fit & risk | For each promise, rate: • Current fulfilment status (met / lagging / broken) • Strategic alignment (core, peripheral, accidental) • Volatility risk (likelihood outrage if breached) • Materiality (financial / licence-to-operate impact) |
Multi-function risk workshop; use 5×5 likelihood-impact heat-map. | Promise-risk matrix; top-10 “watch” list |
6. Decide & embed controls | • Keep, reaffirm, and resource? • Reframe, tone down, or sunset? • Publicly clarify ambiguity? • Create KPIs, board reporting, or assurance? Map decisions into governance (brand council, ESG committee, product roadmap). |
Update policy docs; add to risk log & Architecture Vision (Phase A). | Controlled promise catalogue + mitigation actions |
Tools & enablers
- Text-analytics dashboards – scrape/visualise promise density by theme or region.
- Stakeholder power-map – cross-reference each promise with who can trigger outrage.
- Sentiment early-warning alerts – notify when a promise-theme spikes on social media.
- Board heat-map – quarterly review of “promise gap” vs. delivery KPI.
Governance checklist
- Accountable owner – Brand or Sustainability lead, backed by General Counsel.
- Annual refresh cadence – align with strategy and risk refresh cycles.
- Transparency rule – disclose high-stakes promises in ESG/annual report, or explain why not.
- Link to incentive system – exec comp includes top promise-gap KPIs.
- Crisis-playbook hook – every crisis-comms SOP starts with “Which promises are in play?”
Pay-off
- Fewer surprise flare-ups – hidden contradictions surface early.
- Sharper strategic choices – you know which causes you’re already married to.
- Trust dividends – closing known promise gaps is a reputational win.
- Design clarity – architects and product teams see non-negotiables up front, saving rework.
Audit once, then treat the promise register like any other living control—because in the age of outrage, silence can be as binding as a signed contract.
1 What “heightened stakeholder vigilance toward hypocrisy” really is
Definition – the extraordinary attention that external and internal stakeholders now devote to catching gaps between what an organisation says (purpose, ESG pledges, brand promises) and what it does (policies, supply-chain practices, leadership behaviour). Social media, NGO data-scraping and AI search make that detection cheap and almost real-time. Organised-hypocrisy scholars show that vigilance rises sharply when firms issue voluntary ESG or CSR claims that invite comparison with observable actionsIDEAS/RePEcscholarship.law.upenn.edu.
2 A five-lens scorecard for auditing stakeholder vigilance
Lens | How to measure | Typical data & tools | Output |
a. Public discourse volatility | Frequency & reach of social posts linking the brand with hypocrisy, greenwashing, woke-washing, etc. ^1 | • Social-listening API • NLP topic model for hypocrisy phrases |
12-month “hypocrisy-mention” heat-map; spike alerts |
b. Credible watchdog scrutiny | Number & severity of NGO, media, or regulator reports alleging inconsistency | • NGO databases (e.g., Sustainalytics controversy feed) • Press-scrape |
Watch-list of live investigations |
c. Stakeholder expectation gap | Delta between promised vs perceived delivery in surveys of customers, employees, investors | • Quarterly trust & authenticity survey • Brand trackers |
Expectation-gap index (0–100) |
d. Hypocrisy event impact | Abnormal share-price or NPS drop following hypocrisy news | • Event-study in Excel/R • NPS/employee eNPS trend |
Financial & goodwill hit curve |
e. Vigilance amplifiers | Presence of activist-employees, whistle-blower culture, highly politicised customer segments | • HR chat sentiment • Political-donation map • Customer‐segment social graph |
Qualitative amplifier heat-map |
^1 Academic work shows that word-of-mouth plus moral language is a strong precursor of reputational damage when hypocrisy is suspectedCambridge University Press.
Add the five sub-scores (weighted for your context) to create a Stakeholder Vigilance Index (SVI) that you refresh quarterly and feed into your Phase-A risk log.
3 Early-warning indicators & thresholds
Indicator | Green | Amber | Red |
Weekly “hypocrisy” mentions per 10k brand tweets | ≤5 | 6-20 | >20 |
Open watchdog cases | 0-1 minor | ≥1 moderate | ≥1 major |
Expectation-gap index | <20 | 20-40 | >40 |
Average share-price draw-down after issue | <0.5 % | 0.5-2 % | >2 % |
Crossing two amber or any one red moves the related implicit promise into the executive attention queue.
4 Temperance—an “old” virtue with new strategic value
Classical meaning – self-restraint, emotional balance, capacity to resist excess (part of the VIA/Telos virtue family)FrontiersFrontiers.
Ramanna’s update – CEOs must “turn down the temperature” before acting; temperance is the skill that prevents leaders from fuelling outrage through impulsive over-confidence or performative statementsMcKinsey & Company.
4.1 Practical behaviours that signal temperance
Observable cue | “Temperate” pattern | “Intemperate” pattern |
Crisis language | Facts first, low-decibel, no personal attacks | Ad-hominem, absolutist claims |
Decision timing | Pauses to solicit dissenting views | Announces position immediately on X/LinkedIn |
Power use | Delegates, seeks consent, credits team | Commands, centralises, blames |
Personal disclosure | Admits uncertainty; shows humility | Projects infallibility |
Media footprint | Deliberate, spaced statements | Rapid-fire, reactive posts |
4.2 How to assess temperance in leaders
Tool | What to look for | Rating tip |
360° feedback (quarterly pulse) | Items on humility, listening, emotional regulation | Use 5-point Likert; track standard deviation—spikes show loss of balance |
Behavioural analytics | Voice-stress, interruption count in town-halls, sentiment of posts | Set “over-activation” threshold (e.g., >1.5 σ above norm) |
Temperance items in VIA Character Strengths | Patience, prudence, self-control sub-scores | Percentile rank vs exec benchmark |
Outrage incident logs | How often leader statements appear in top-20 drivers of negative sentiment | ≤5 % is target; >15 % triggers coaching |
Board observation rubric | Ability to switch from advocacy to inquiry during debate | Red/Amber/Green by independent director |
Embed temperance KPIs in the CEO’s scorecard and link coaching goals to the audit outcomes.
5 Putting it together in the Age-of-Outrage readiness scan
- Add the SVI as a quantitative node under the Stakeholder-Sentiment Volatility factor.
- Flag low-temperance leaders as a dedicated readiness gap (“Leadership Temperance Capability < 65th percentile”).
- Couple both in your Phase-A risk table—e.g., “High SVI + low temperance = extreme likelihood of self-inflicted outrage episode.”
- Mitigation examples
- SVI high → tighten message-controls, accelerate promise-audits, stage tabletop simulation.
- Temperance low → executive coaching, crisis-comms shadowing, accountability buddy on social posts.
6 Net effect
By measuring vigilance you create an external radar; by cultivating temperance you shape an internal stabilizer. Together they lower the probability that your organization’s next big move will be derailed by charges of hypocrisy or an intemperate sound-bite—and they give architects and program teams a clearer, calmer environment in which real digital transformation can stick.
Sources
Authored by Alex Wyka, EA Principals Senior Consultant and Principal