Eliminate the optimism premium
in your strategic plans.
Behavioral research has documented the cost for two decades: planning fallacy, accountability sink, off-constraint investment — the same three failure modes show up in megaproject overruns (cost +44.7% on rail, +20.4% on roads) and in everyday corporate plans. Strategic Advisory operationalizes the only known counter — Kahneman and Lovallo's Outside View — as a machine check before tasks unlock on the OS. ¹⁻²
User estimate: 30 days. Historical median for comparable pricing launches in your org: 52 days. Failure rate vs original deadline: 38%. Justify the 30-day estimate mathematically — or revise the plan.
Recapture the 58% of decision-time currently wasted.
McKinsey's global survey of 1,259 executives found managers spend 37% of their working time on decisions, and 58% of that time is used ineffectively — for a typical Fortune 500 firm, an estimated 530,000 days and $250M in labor cost per year. ³ Strategic Advisory replaces the ad-hoc decision flow with a single workflow primitive: a structured diagnostic when you have a problem, a structured validation when you have a plan.
- Diagnostic mode — adaptive interview chain over the named stakeholders, with RAG retrieval over your decisional history. Surfaces the constraint, not the loudest symptom.
- Validation mode — structured submission (success probability, risk owner, failure metric, deadline) routed through the principle stack before tasks unlock on the OS.
- Shared corpus — every closed session augments the evidence graph used by the next. The institution learns at the level of decisions, not individuals.
- Single workflow primitive — same step tracker, same console, same STEER intervention mechanic — regardless of mode.
Catch the three failure modes that swallow strategic plans.
Three decades of behavioral and operations research converge on the same diagnostic short-list: planning fallacy (Kahneman, Outside View), accountability sink (decision rights and ownership), and off-constraint investment (Goldratt's Theory of Constraints). Each operationalized as a single answerable veto — pass, or justify. ¹⋅⁴⋅⁵
- Base Rate — Kahneman, Outside View: reference-class forecasting against your own historical median. Vetoes unjustified divergence from comparable past plans.
- Accountability Mapping — Davies: verifies a Risk Owner holding both budget authority and signing authority over the plan's critical nodes. Diluted ownership is treated as no ownership.
- Theory of Constraints — Goldratt: tests whether the investment hits the system constraint or a high-visibility local node. Off-constraint capex accumulates WIP without moving throughput.
- Extensible by industry: additional principles installable for FDA submissions, M&A diligence, capex committees — without touching the workflow core.
Turn “I told you so” into a record you can replay.
72% of senior executives in McKinsey's decision-making survey said bad strategic decisions were at least as common as good ones — or the prevailing norm. ⁶ Most cannot reconstruct how those bad decisions were authorized. The Decision Ledger captures the original estimate, the principles that fired, the vetoes raised, the resolution path — every record is the canonical history of how the decision was authorized.
- Append-only after commit — the model layer rejects any attempt to mutate a committed entry; outcome closure runs through a dedicated audit path.
- Bypass made visible — when a Risk Owner overrides a veto, the principle source, the blocking question and the bypass payload are written into the entry on commit.
- Outcome closure — the Risk Owner declares success / failure / partial; Brier Score⁷ and outcome-anomaly flag are computed automatically against the original probability and deadline.
- Linked evidence trail — vetoes raised, dependency pings, counter-estimates and refusals stay anchored to the entry and are surfaced in the detail view.
| # | Plan | Owner | Pred | Vetoes | Status |
|---|---|---|---|---|---|
| #102 | Q3 pricing-model launch | L. Ricci | 80% | ⚡ 2 bypassed | in flight |
| #98 | EU expansion · headcount | M. Bianchi | 75% | 0 / 3 | delivered |
| #97 | ML platform migration | A. Conti | 60% | ⚡ 1 bypassed | delivered · late |
| #96 | Channel-partner reorg | E. Greco | 70% | 1 / 3 | delivered |
| #94 | Compliance hardening push | F. Romano | 85% | 0 / 3 | delivered |
End the accountability sink in cross-team commitments.
McKinsey's research finds companies where decisions are made at the right level are 6.8× more likely to be high performers; 70% of organizations with 1–3 reporting layers report high decision quality, versus 45% at organizations with seven or more layers. ⁶ Dependency Ping issues a binary accept-or-refuse to the named stakeholder — and writes the refusal into the Ledger if the proposer overrides it.
- Targeted by definition — pings issued to users named as dependencies in the plan. No broadcast surveys, no consensus dilution, no accountability sink.
- Asynchronous and bounded — stakeholders respond on their own time; time-outs escalate to a Risk-Owner decision rather than blocking indefinitely.
- Disagreement codified — when a stakeholder counter-estimates, the proposer sees both options explicitly and chooses on record.
- Future attribution closed — a refused dependency is written into the Ledger. The proposer cannot subsequently relocate the cause downstream.
Beyond single plans: the systemic state every plan launches into.
The firewall validates one decision at a time. The companion module — Strategic Alignment — answers a different question: what's the organizational state underneath every plan you're authorizing? Four orthogonal signals, one console, prioritized recommendations.
- Organizational Health Index (OHI) — composite 0–100 from the Organizational Health Screener, with sectional breakdown and automatic deep-dive triggers (OLBI, UWES, Psychological Safety) for at-risk respondents.
- System Flow + Agility (SFI / AFS) — perception of operational fluidity vs. measured agility, with Flow Gap, Systemic Risk %, and a perception-vs-reality radar.
- Trust Network — Trust Index, Network Density, and Psychological Safety aggregated across survey cycles; most-trusted and top-influencer lists from the Trust Network module.
- Execution Overview — OKR completion, hierarchical progress, Alignment Score across the Company → Unit → Project → Individual cascade, Wellness Impact, and 360° coverage.
- Strategic Initiatives — High/Medium/Low priority recommendations on Flow, Trust and Performance — computed live from the data above, each with the CTA that launches the right survey or cycle.
Before authorizing a plan in the Decision Ledger, Strategic Alignment tells you the terrain it lands on: SFI 50 + Trust 55 means the Base Rate veto needs to fire harder. On post-mortem of a failed plan, outcome anomaly cross-referenced with the concurrent SFI dip separates plan-quality from system-quality — was the plan wrong, or was the ground?
Where the firewall pays for itself.
- Product Launch Validation
- GTM Plan Pre-Commit
- Reorg Plan Validation
- Budget Reallocation Sign-Off
- Vendor / Build-vs-Buy
- Delivery Bottleneck Diagnosis
- Cycle-Time Investigation
- Quality Slippage Root Cause
- Inter-Team Handoff Audit
- Post-Reorg Friction Map
- Quarterly OKR Pre-Commit
- Board-Level Strategic Bet
- Manager Calibration Trend
- Hiring-Plan Capacity Check
- Cross-Org Initiative Audit
- Flyvbjerg, B. — research on planning fallacy and reference-class forecasting in megaprojects. Average cost overruns of 44.7% on rail and 20.4% on roads; 1 in 6 large-scale ICT projects becomes a statistical outlier with cost overruns above 200%. Daniel Kahneman has called this work “the single most important piece of advice regarding how to increase accuracy in forecasting.” What You Should Know About Megaprojects, and Why.
- Lovallo, D. & Kahneman, D. (2003). “Delusions of Success: How Optimism Undermines Executives' Decisions.” Harvard Business Review, July 2003. Introduces reference-class forecasting (the Outside View) as the counter to the planning fallacy. hbr.org.
- De Smet, A., Lackey, G., & Weiss, L. M. — McKinsey Global Survey of 1,259 managers and executives (Feb 2018). Managers spend 37% of their working time on decisions, and 58% of that time is used ineffectively; for a Fortune 500 company, an estimated 530,000 days and ~$250M in labor cost per year. Decision making in the age of urgency.
- Davies, D. (2024). The Unaccountability Machine: Why Big Systems Make Terrible Decisions — and How the World Lost Its Mind. Frames the 'accountability sink' problem in modern organizations.
- Goldratt, E. M. (1984). The Goal: A Process of Ongoing Improvement. Original formulation of the Theory of Constraints — optimization of system throughput requires identifying and elevating the binding constraint, not local nodes.
- Aghina, W., De Smet, A., & Weerda, K. — McKinsey Quarterly survey. 72% of senior executives said bad strategic decisions were at least as common as good ones, or the prevailing norm. Companies that make decisions at the right level are 6.8× more likely to be high performers; high decision-quality reported by 70% at flat-org (1–3 layers) vs 45% at deep-org (7+ layers). Untangling your organization's decision making.
- Tetlock, P. & Gardner, D. (2015). Superforecasting: The Art and Science of Prediction. Four-year IARPA Good Judgment Project, 5,000+ forecasters; trained forecasters outperformed intelligence analysts with classified data by ~30%, beat domain experts by ~20%. Year-on-year correlation of forecasting performance: 0.65. Brier Score: squared distance between forecast probability and outcome (0 = perfect, 1 = worst-possible).