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Master Cris, OKRs Planning Master (OPM-RDS)

Intro​

Strap in. You are here for evidence, momentum, and outcomes that can survive scrutiny. I am your Master guide. I move fast, but I only move on proof. Sage is the case study threading this manual, and Dani is the user signal that keeps every step honest.

Hyperboost Formula​

What is the Hyperboost Formula?​

Hyperboost is the operating system I use to move from intent to validated action. It is the curated fusion of proven frameworks, sequenced in the exact order and applied in the right amount.

The DNA: Build-Measure-Learn—Relentlessly​

Every step is an experiment with a hypothesis, a signal, and a decision. If we cannot measure reality, we do not move forward.

Integration of Methods: Lean Startup, Empathy, and AI​

  • Lean Startup: Ruthless validation before investment.
  • Customer Empathy: Real pain beats internal opinions every time.
  • AI Acceleration: Machines handle grunt work so humans decide with clarity.

Why Does the Hyperboost Formula Matter?​

Because velocity without proof is just fast failure. Hyperboost forces evidence into every step so risk shrinks as speed increases.

Anatomy of the Hyperboost Journey​

This is a stepwise engine where each output becomes the next input. I do not skip gates; I compress ambiguity until the next decision is obvious.

Core Principles Guiding Every Step​

  • Evidence over ego: proof beats preference.
  • Traceability: every artifact links to a decision.
  • Velocity with control: fast, but never blind.
  • Autonomy ready: outputs must be executable without context loss.
  • Ruthless clarity: ambiguity is a defect, not a feature.

Process Overview​

  • 00: Corporate Strategic Planning Intake and Dispatch
  • 01: Pre-thesis Problem Statement
  • 02: Structured Product Thesis
  • 03: Value Tree and Leading/Lagging Indicators
  • 04: Financial Sizing
  • 05: Initiatives and Dependency Map
  • 06: Investment Estimate and Execution Calendar
  • 07: ROI and Payback
  • 08: Thesis One-Pager
  • 09: Storytelling and Strategic Alignment
  • 10: Critiques Preparation
  • 11: Conclusion and Handoff

Phase 1: Discovery & Alignment​

This phase compresses ambiguity so the next move is defensible and fast.

Step 00: Corporate Strategic Planning Intake and Dispatch​

Intro​

This step turns corporate strategic planning intake and dispatch into a decision that can survive contact with reality. Sage uses this moment to translate ambition into a concrete move. Dani is the signal that keeps the outcome grounded in real user behavior.

Product Concept​

I apply Hypothesis framing & decision gating. We turn raw intent into testable bets and set decision criteria before moving forward. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: Corporate Strategic Planning outputs ingested; a single thesis candidate proposed; missing inputs clarified; ready to start Step 01..

Actions​

  • I translate the intent of Corporate Strategic Planning Intake and Dispatch into clear, testable criteria.
  • I apply Hypothesis framing & decision gating to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • mm_thesis_plan: UPSERT planning state
  • support/master_cris/00a_handover_packet_md: Normalized Corporate Strategic Planning to OKRs/Thesis Planning handover packet (markdown)
  • c06_okrs_planning/00a_handover_packet: Handover packet (HTML)
  • support/master_cris/00b_intake_summary_md: Intake summary (markdown)
  • c06_okrs_planning/00b_intake_summary: Intake summary (HTML)

Step 01: Pre-thesis Problem Statement​

Intro​

Here I collapse ambiguity around pre-thesis problem statement so every next move has proof behind it. Sage relies on this step to remove blind spots before momentum accelerates. Dani is the proof check that stops us from building for ourselves.

Product Concept​

I apply Jobs-to-be-Done & Job Map. JTBD clarifies the true user job, and the Job Map structures it into steps we can improve. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: opportunity reframed into a customer problem statement with JTBD and barrier; ready to draft the structured thesis..

Actions​

  • I translate the intent of Pre-thesis Problem Statement into clear, testable criteria.
  • I apply Jobs-to-be-Done & Job Map to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/01a_problem_statement_md: Problem statement with JTBD and barrier (markdown)
  • c06_okrs_planning/01a_problem_statement: Problem statement (HTML)
  • support/master_cris/01b_pre_thesis_object_md: Pre-thesis object (markdown)
  • c06_okrs_planning/01b_pre_thesis_object: Pre-thesis object (HTML)

Step 02: Structured Product Thesis​

Intro​

This is where structured product thesis becomes a defensible call instead of a guess. Sage treats this step as the guardrail that keeps the journey honest. Dani is the reality anchor that keeps this step from drifting into theory.

Product Concept​

I apply Hypothesis framing & decision gating. We turn raw intent into testable bets and set decision criteria before moving forward. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: structured product thesis drafted using the thesis template; impact type confirmed..

Actions​

  • I translate the intent of Structured Product Thesis into clear, testable criteria.
  • I apply Hypothesis framing & decision gating to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/02_structured_thesis_md: Structured thesis (markdown)
  • c06_okrs_planning/02_structured_thesis: Structured thesis (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Step 03: Value Tree and Leading/Lagging Indicators​

Intro​

This step turns value tree and leading/lagging indicators into a decision that can survive contact with reality. Sage uses this moment to translate ambition into a concrete move. Dani is the signal that keeps the outcome grounded in real user behavior.

Product Concept​

I apply OKR design. OKRs translate ambition into measurable outcomes that prevent drift. It belongs here because this step must create a defensible outcome, not activity.

I layer Value Tree & Metrics to reinforce the decision logic, so the result is repeatable and evidence-backed. Value trees connect outcomes to measurable signals and guide prioritization.

I also use UI System & Visual Design because it tightens the feedback loop and prevents drift. A UI system enforces consistency, accessibility, and velocity.

This step is complete only when the outcome is achieved: User: value tree built from OKR to lagging impact and leading indicators; thesis contribution validated..

Actions​

  • I translate the intent of Value Tree and Leading/Lagging Indicators into clear, testable criteria.
  • I apply OKR design to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/03_value_tree_md: Value tree and leading/lagging mapping (markdown)
  • c06_okrs_planning/03_value_tree: Value tree and leading/lagging mapping (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Phase 2: Design & Build Readiness​

This phase compresses ambiguity so the next move is defensible and fast.

Step 04: Financial Sizing​

Intro​

Here I collapse ambiguity around financial sizing so every next move has proof behind it. Sage relies on this step to remove blind spots before momentum accelerates. Dani is the proof check that stops us from building for ourselves.

Product Concept​

I apply UI System & Visual Design. A UI system enforces consistency, accessibility, and velocity. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: sizing model built with data-backed baselines, scenarios, and impacts across the planning horizon..

Actions​

  • I translate the intent of Financial Sizing into clear, testable criteria.
  • I apply UI System & Visual Design to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/04a_calc_rationale_assumptions_md: Calculation rationale and assumptions (markdown)
  • c06_okrs_planning/04a_calc_rationale_assumptions: Calculation rationale and assumptions (HTML)
  • support/master_cris/04b_sizing_model_md: Sizing model (markdown)
  • c06_okrs_planning/04b_sizing_model: Sizing model (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Step 05: Initiatives and Dependency Map​

Intro​

This is where initiatives and dependency map becomes a defensible call instead of a guess. Sage treats this step as the guardrail that keeps the journey honest. Dani is the reality anchor that keeps this step from drifting into theory.

Product Concept​

I apply UI System & Visual Design. A UI system enforces consistency, accessibility, and velocity. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: initiatives list defined and a complete dependency map built with risk classification and mitigation..

Actions​

  • I translate the intent of Initiatives and Dependency Map into clear, testable criteria.
  • I apply UI System & Visual Design to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/05_dependency_map_md: Dependency map (markdown)
  • c06_okrs_planning/05_dependency_map: Dependency map (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Step 06: Investment Estimate and Execution Calendar​

Intro​

This step turns investment estimate and execution calendar into a decision that can survive contact with reality. Sage uses this moment to translate ambition into a concrete move. Dani is the signal that keeps the outcome grounded in real user behavior.

Product Concept​

I apply Hypothesis framing & decision gating. We turn raw intent into testable bets and set decision criteria before moving forward. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: assumptions validated; effort and uncertainty mapped; delivery paths simulated; execution calendar and investment plan finalized..

Actions​

  • I translate the intent of Investment Estimate and Execution Calendar into clear, testable criteria.
  • I apply Hypothesis framing & decision gating to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/06a_plan_assumptions_md: Execution plan assumptions (markdown)
  • c06_okrs_planning/06a_plan_assumptions: Execution plan assumptions (HTML)
  • c06_okrs_planning/06a_assumptions_validated: Execution assumptions explicitly approved by user
  • support/master_cris/06b_effort_matrix_svg_md: Effort vs Uncertainty matrix (markdown)
  • c06_okrs_planning/06b_effort_matrix_svg: Effort vs Uncertainty matrix (HTML)
  • support/master_cris/06c_execution_strategy_options_md: Execution strategy options (markdown)
  • c06_okrs_planning/06c_execution_strategy_options: Execution strategy options (HTML)
  • c06_okrs_planning/06d_monte_carlo_path_selector: Monte Carlo path selector (HTML)
  • c06_okrs_planning/06d_delivery_path_selection: Selected delivery path (A/B/C) after simulation
  • c06_okrs_planning/06d_confidence_level: Selected confidence level (P50/P85/P95)
  • support/master_cris/06e_execution_calendar_md: Execution calendar (markdown)
  • c06_okrs_planning/06e_execution_calendar: Execution calendar (HTML)
  • support/master_cris/06f_investment_plan_md: Investment plan (markdown)
  • c06_okrs_planning/06f_investment_plan: Investment plan (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Step 07: ROI and Payback​

Intro​

Here I collapse ambiguity around roi and payback so every next move has proof behind it. Sage relies on this step to remove blind spots before momentum accelerates. Dani is the proof check that stops us from building for ourselves.

Product Concept​

I apply Hypothesis framing & decision gating. We turn raw intent into testable bets and set decision criteria before moving forward. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: ROI assumptions validated; headline KPIs and YoY tables produced; payback confirmed..

Actions​

  • I translate the intent of ROI and Payback into clear, testable criteria.
  • I apply Hypothesis framing & decision gating to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/07a_roi_assumptions_md: ROI assumptions (markdown)
  • c06_okrs_planning/07a_roi_assumptions: ROI assumptions (HTML)
  • c06_okrs_planning/07a_assumptions_validated: ROI assumptions explicitly approved by user
  • support/master_cris/07b_roi_summary_md: ROI summary (markdown)
  • c06_okrs_planning/07b_roi_summary: ROI summary (HTML)
  • support/master_cris/07c_roi_yoy_md: ROI YoY table (markdown)
  • c06_okrs_planning/07c_roi_yoy: ROI YoY table (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Phase 3: Delivery & Handoff​

This phase compresses ambiguity so the next move is defensible and fast.

Step 08: Thesis One-Pager​

Intro​

This is where thesis one-pager becomes a defensible call instead of a guess. Sage treats this step as the guardrail that keeps the journey honest. Dani is the reality anchor that keeps this step from drifting into theory.

Product Concept​

I apply Hypothesis framing & decision gating. We turn raw intent into testable bets and set decision criteria before moving forward. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: one-pager produced consolidating thesis, indicators, ROI, and execution calendar..

Actions​

  • I translate the intent of Thesis One-Pager into clear, testable criteria.
  • I apply Hypothesis framing & decision gating to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/08a_thesis_one_pager_md: Thesis one-pager (markdown)
  • c06_okrs_planning/08a_thesis_one_pager: Thesis one-pager (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)
  • c08_okrs_planning/08b_thesis_card: Thesis card (HTML)

Step 09: Storytelling and Strategic Alignment​

Intro​

This step turns storytelling and strategic alignment into a decision that can survive contact with reality. Sage uses this moment to translate ambition into a concrete move. Dani is the signal that keeps the outcome grounded in real user behavior.

Product Concept​

I apply Opportunity Solution Tree. OST links outcomes to solution options to keep ideation grounded in evidence. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: narrative, infographic, diagnostic slide, and pitch deck created to align the thesis with strategic drivers and priorities..

Actions​

  • I translate the intent of Storytelling and Strategic Alignment into clear, testable criteria.
  • I apply Opportunity Solution Tree to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • c06_okrs_planning/09a_strategic_drivers_infographic: Strategic drivers infographic (HTML)
  • c06_okrs_planning/09b_diagnostic_slide: Pre-thesis diagnostic slide (HTML)
  • c06_okrs_planning/09c_pitch_deck: Pitch deck (HTML)
  • support/master_cris/09_storytelling_narrative_md: Strategic narrative (markdown)
  • c06_okrs_planning/09_storytelling_narrative: Strategic narrative (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Step 10: Critiques Preparation​

Intro​

Here I collapse ambiguity around critiques preparation so every next move has proof behind it. Sage relies on this step to remove blind spots before momentum accelerates. Dani is the proof check that stops us from building for ourselves.

Product Concept​

I apply Hypothesis framing & decision gating. We turn raw intent into testable bets and set decision criteria before moving forward. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: critiques readiness decided and critique training completed in interactive batches..

Actions​

  • I translate the intent of Critiques Preparation into clear, testable criteria.
  • I apply Hypothesis framing & decision gating to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/10a_critiques_readiness_md: Critiques readiness (markdown)
  • c06_okrs_planning/10a_critiques_readiness: Critiques readiness (HTML)
  • support/master_cris/10b_critiques_training_md: Critiques training (markdown)
  • c06_okrs_planning/10b_critiques_training: Critiques training (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Step 11: Conclusion and Handoff​

Intro​

This is where conclusion and handoff becomes a defensible call instead of a guess. Sage treats this step as the guardrail that keeps the journey honest. Dani is the reality anchor that keeps this step from drifting into theory.

Product Concept​

I apply Handoff & Continuity. Explicit handoff preserves continuity and prevents context loss. It belongs here because this step must create a defensible outcome, not activity.

This step is complete only when the outcome is achieved: User: full journey summarized with next-step handoffs and closure..

Actions​

  • I translate the intent of Conclusion and Handoff into clear, testable criteria.
  • I apply Handoff & Continuity to generate the core artifact for this decision.
  • I pressure-test the result against real constraints and user evidence.
  • I document the decision trail so downstream steps stay aligned.

Deliverables​

  • support/master_cris/11_conclusion_handoff_md: Conclusion and handoff (markdown)
  • c06_okrs_planning/11_conclusion_handoff: Conclusion and handoff (HTML)
  • support/master_cris/thesis_card_templatemd: Living thesis template (markdown)

Conclusion​

We end with a handoff-ready body of evidence and artifacts you can execute without guesswork. If Sage can act with confidence and Dani would still trust the outcome, the system did its job.