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Performance

What does progress look like? Focus on metrics that matter to elevate standards that deterministically elevate and strengthen platform to explore greater potential for fulfillment.

What will it take to move the needle? Are you on the critical path to success?

Domains​

Question

How do you optimise the Coefficient of Flow for creating and distributing value.

Principles​

Compare outcomes with expectations to make data aligned decisions. Regularly audit systems to validate Performance Indicators to ensure they genuinely reflect your core objectives, rather than managing to outdated proxies for value.

  • The map is not the territory
  • The model is not the reality
  • The data is not the decision.

The Ps vs Cs Matrix

VVFL BuildsHow
ConfidenceReal evidence replaces hope
CredibilityTracked results prove capability
ConsensusShared metrics align the team
CapitalProven performance attracts resources

Without consistent standards and analysis protocols making progress is guesswork.

Purpose​

Balance the scoreboard by measuring what matters. Compare against Standard Benchmarks to drive performance improvement.

  1. Benchmarks clarify expected outcomes
  2. Benchmarks clarify where and how to add value
  3. Benchmarks promote a race to the top
  4. Benchmarks help track progress
  5. Benchmarks promote dialogue and are a proven engagement tool

Value System​

Value System

Know exactly what you value, why you value it, and how you value it.

  1. Are we compromising our value system?
  2. Are we investing our time wisely?
  3. Are we leveraging tools to maximum potential?
  4. Are we helping people take better decisions?
  5. Are we missing anything?

For information to be valuable, it has to satisfy the following criteria:

  1. it has to be important
  2. it has to be accurate
  3. it has to be actionable

Process​

Connect signals and triggers with levers to navigate the ship better.

KPI review process:

  1. Define core objectives clearly
  2. Choose metrics that directly reflect these objectives
  3. Understand why each metric was originally selected
  4. Regularly question if metrics still accurately represent core goals
  5. Be willing to discard or update metrics that have lost relevance
  6. Avoid managing to metrics without understanding their purpose
  7. Stay vigilant against metric inertia as the business evolves
  8. Focus on the underlying truth (e.g., customer happiness) rather than the proxy
  9. Ensure metrics drive actions that genuinely improve core objectives
  10. Maintain skepticism towards long-standing metrics

Applications​

Benchmarks

  1. Time and Energy
  2. Primary
  3. Retail
  4. Financial
  5. Human Resources

Industries​

Presentation​

Build dashboards that tell stories and trigger accurate decisions that exploit opportunities and remedy failures.

  • Worst first
  • Set decision triggers
  • Link triggers to processes
  • Link processes to people

North Star​

Your North Star focuses intention and attention.

Time and cost/effort to valuable UserActivation.

  • Cash Flow is King
  • Revenue (e.g. ARR, GMV)
  • Customer growth (e.g. paid users, marketshare)
  • Consumption growth (e.g. messages sent, nights booked)
  • Engagement growth (e.g. MAU, DAU)
  • Growth efficiency (e.g. LTV/CAC, margins)
  • User experience (e.g. NPS)

Failures​

Bad news needs to travel fast without impediment. Why did failure occur? What can be done to prevent it happening again? How can we react faster and better?

  • Better training?
  • Wrong tactics?
  • Wrong strategy?
  • Cancel the experiment?
  • Cancel contract?
  • Cancel role?

Success​

Review when judging the success of business strategy decisions.

  • How much more to reinvest?
  • Adjacent expansion?
  • Take on more complex/riskier bet?
  • Scale recruitment?

Prediction Signals​

Based on 2026 predictions analysis, these are the key datasets to monitor for adjusting positioning and priorities.

AI Scale & Capability (Master Variable)​

If the "100x year" prediction is true, all other AI predictions become conservative.

SignalWhere to WatchThreshold
Inference cost per tokenOpenAI/Anthropic pricing, open-source benchmarks10x drop YoY = on track
Quantization adoptionHuggingFace model downloads, GGUF/GPTQ prevalenceMajority sub-4bit = accelerating
On-device capabilityLocal LLM benchmarks, mobile deploymentGPT-4 quality on laptop = inflection
GDP-Val benchmarkEpoch AI, research papers>90% = knowledge work threshold
Frontier Math Tier 4AI benchmark trackers>40% = math reasoning solved

Adjustment trigger: If inference costs drop faster than 10x/year, accelerate AI-native positioning.

Knowledge Work Automation​

SignalWhere to WatchThreshold
AI coding assistant usageGitHub Copilot stats, Cursor adoption>50% of commits = mainstream
Layoff patternsTech layoffs tracker, earnings calls"AI efficiency" cited = organizational wake-up
AI-native startup fundingCrunchbase, VC blogsSingle-digit teams raising Series A = 10x thesis proven
Remote worker compositionEmployer surveys, anecdotal signalsAI teammates mentioned casually = quiet mixing

Adjustment trigger: If Fortune 500 CEOs cite AI reorganization on earnings calls, the "wake up" has happened.

Education Transformation​

SignalWhere to WatchThreshold
Hiring criteria shiftsJob postings, employer surveys"Portfolio required" > "Degree required" = signal
Agency curriculum emergenceCourse catalogs, accelerator curricula"Initiative," "resilience," "AI fluency" as explicit subjects
Tuition price trendsCollege Board data, enrollment statsPeak + decline = prediction validated
Bootcamp/accelerator growthCourse Report, bootcamp funding2x growth = credential factories losing
AI tutoring adoptionKhanmigo, Duolingo stats>100M users = personalized learning mainstream

Adjustment trigger: If top tech companies drop degree requirements publicly, portfolios have won. If programs explicitly teach "agency development" as curriculum, the education split is real.

Robotics & Autonomy​

SignalWhere to WatchThreshold
Level-4+ deploymentsWaymo, Cruise ride stats; Tesla FSD data>1M rides/month = mass adoption
Regulatory changesNHTSA, EU regulations, special zone announcementsCountries competing for robots = governance advantage
Humanoid robot demosFigure, Tesla Bot, 1X videosGeneralized task completion = genuine autonomy
Manufacturing robot ordersIFR statistics, factory automation newsYoY doubling = physical AI inflection

Adjustment trigger: If any country creates "robot-friendly zone," NZ governance opportunity is real.

Longevity & Biology​

SignalWhere to WatchThreshold
Yamanaka factor trialsClinicalTrials.gov, Altos Labs newsPhase 2 success = 2030 longevity thesis strengthens
Bio-AI paper velocityNature, bioRxiv, Google ScholarAI co-author majority = fields merged
Longevity startup fundingLongevity.technology, VC announcements>$1B/year = serious money entering

Adjustment trigger: If eye treatment trials succeed, liver/whole-body timeline accelerates.

Governance & Societal​

SignalWhere to WatchThreshold
AI regulation patternsEU AI Act, US executive orders, NZ policyClarity + speed = competitive advantage
UBI/UBS experimentsPolicy announcements, pilot programsNational-level pilots = traction real
AGI definition debatesAI safety orgs, academic papersNo consensus despite capabilities = prediction validated

Adjustment trigger: If jurisdictional arbitrage becomes visible (companies relocating for AI-friendly rules), governance positioning is urgent.

The Monitoring Cadence​

FrequencyWhat to Check
WeeklyInference cost trends, major AI announcements
MonthlyBenchmark updates, layoff patterns, funding rounds
QuarterlyRegulatory changes, education hiring signals, robotics deployments
AnnuallyFull prediction database calibration review

Dashboard Priorities​

Build visibility into:

  1. Leading indicators — Inference costs, benchmark scores (predict what's coming)
  2. Lagging indicators — Layoffs, tuition, funding (confirm what's happened)
  3. Sentiment indicators — "Feels like future" proxies (cultural perception)

The goal: Notice inflection points before they're obvious.

→ Predictions Database → 2026 Review → Position + Watch Matrix