Pilot2Service
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- ▌ Systems Mapping · pilot2serviceMaps the full value-creating system around a focal activity using the Value Net (customers, suppliers, competitors, complementors) and the flows of money, product, information, and trust between them, to surface load-bearing dependencies. Use before designing a solution that implicitly assumes only "the customer" and "us" exist in the system.
- ▌ Scenario And Foresight · pilot2serviceBuilds a 2x2 grid of internally consistent future scenarios from the two most critical uncertainties facing a strategy, then stress-tests the strategy against all four to surface no-regret moves and early-warning indicators. Use when a strategy needs to survive more than one plausible future, not just the one everyone is already assuming.
- ▌ Strategic Intent Framing · pilot2serviceFrames a strategic intent as a single, contestable claim about the leadership position an organization wants to reach — deliberately ambitious relative to current resources — with a concrete win criterion and capability milestones. Use when a mission statement is too vague to rule anything out and a full plan would be premature.
- ▌ Hypothesis Driven Strategy · pilot2serviceStructures a strategic question into an initial, provably-wrong hypothesis and a MECE issue tree, then prioritizes testing the branch most likely to kill the hypothesis first. Use when a strategic question needs a defensible, decision-ready point of view quickly, instead of either guessing an answer or trying to analyze everything before forming one.
- ▌ Value Chain Mapping · pilot2serviceStructures a business's activities according to Porter's value chain model into primary and support activities, in order to see where value and margin come from and where competitive advantage can be built.
- ▌ Data Role Diagnosis · pilot2serviceDiagnoses and justifies whether data functions in the organization as an enabler (cost, operational efficiency) or as a strategic asset (revenue-generating, monetizable, defensible) — using heuristic tests (resale, flywheel, defensibility, relevance) and the Offense/Defense framework. Use before designing a data strategy or an AI business model, when you need to determine what role data plays in the organization TODAY and what role it SHOULD play.
- ▌ Strategic Options Evaluation · pilot2serviceCompares strategic options, including "do nothing", on a fixed set of dimensions (impact, effort, risk, reversibility, resource fit), scored independently per option and plotted on at least two views rather than collapsed into one number. Use when a decision needs a legible trade-off comparison instead of the most persuasively argued option winning by default.
- ▌ AI Capability Roadmap · pilot2serviceBuilds the organization's AI capability map and roadmap from the current state to the target state across three horizons (0-6mo efficiency, 6-18mo transformation, 18-36mo new business), plus an AI Target Operating Model (ATOM) / Readiness Scorecard describing the division of labor between humans and AI.
- ▌ Business Case Builder · pilot2serviceBuilds a full business case — problem, options considered (including "do nothing"), economics (ROI/NPV/IRR), risk, stakeholders, milestone-level timeline, and recommendation — following BABOK/PMI structure. Use when a proposal needs to reach a decision-maker as a structured business case, not a pitch with only one option on the table.
- ▌ Market Sizing Tam Sam Som · pilot2service bundleSizes TAM, SAM, and SOM using independent top-down and bottom-up methods, narrowing each step with explicitly named constraints (geography, segment, go-to-market capacity) rather than an arbitrary percentage. Use when a market-size figure has to hold up under scrutiny in a business case or investor conversation, not just sound impressively large.
- ▌ Opportunity Brief Writing · pilot2serviceWrites the results of an opportunity assessment into a concise 1-2 page Opportunity Brief report, understandable to both the technical inventor and the decision-maker.
- ▌ Market And Signal Scanning · pilot2serviceSystematically scans the market, technology, regulatory, and competitive environment across the six PESTLE categories to surface disequilibria — mismatches between what's supplied and what's genuinely wanted — before they're obvious to everyone else. Use when looking for early opportunity signals, not when validating an idea you've already committed to.
- ▌ AI Opportunity Portfolio · pilot2serviceIdentifies, scores (5-dimensional model: Business Impact, Technical Feasibility, Data Readiness, Strategic Alignment, Speed to Value/Risk), and prioritizes AI use cases with a 2x2 matrix (Quick Wins / Strategic Bets / Deprioritize / Hard-Low Value) — and classifies incremental and transformative opportunities separately.
- ▌ Roi Npv Sensitivity Model · pilot2service bundleCalculates ROI, NPV, IRR, and payback period against a credible do-nothing baseline, then runs a one-at-a-time sensitivity analysis to rank which two or three assumptions actually drive the result, plus upside/downside scenarios. Use when a business case's financial numbers need to survive scrutiny, not just look attractive under the base case.
- ▌ Taste Emulation Heuristic · pilot2servicePredicts how a specific, narrowly-defined in-group will emotionally and aesthetically react to a concept, without slow or misleading market research — by deliberately building 'exposure hours' to world-class examples, running a mental simulation before asking anyone, and validating the prediction against real feedback in a backpropagation-style loop. Use when a concept, design direction, or positioning needs a fast, defensible taste judgment before committing to build or test it.
- ▌ Opportunity Value Assessment · pilot2servicePlaces an identified opportunity in an attractiveness × feasibility matrix and assesses it from seven commercialization angles — the owner's own, productized assessment framework.
- ▌ Build Vs Buy Vs Partner AI · pilot2serviceStructures the build/buy/partner decision for an AI capability, including hybrid options, scored on differentiation value, time to value, and total cost of ownership (inference, retraining, ML-ops talent, not just license cost). Use when an AI capability decision needs a defensible comparison instead of defaulting to "build" or "buy" by habit.
- ▌ Risk Matrix And Mitigation · pilot2serviceIdentifies risks systematically across project phases, stakeholders, and dependencies, scores each on probability x impact, and assigns a PMI response strategy (avoid, mitigate, transfer, accept) with an owner and trigger condition. Use when a project or initiative needs a real risk register and mitigation plan instead of an informal list of worries.
- ▌ Pattern And Analogy Connector · pilot2serviceConnects loose observations into a meaningful opportunity by identifying analogies across industries and situations using the Capability Pattern Mapping method: superficially different cases are abstracted into one named capability pattern, which then serves as a diagnostic question in a new context. Use when an opportunity has no obvious precedent in your own industry and a same-industry case search comes up empty.
- ▌ Benefits Realisation Tracking · pilot2serviceTracks promised benefits after go-live using a Benefits Dependency Network that traces each benefit back to the business and enabling changes required to deliver it, with a named owner, baseline, and target per benefit. Use once a project has moved past approval and the question shifts from "was it approved" to "is the promised value actually landing".
- ▌ Opportunity Intake Elicitation · pilot2serviceCollects sufficient structured input on an identified opportunity through well-designed questions — even when the client can't yet frame their idea in business terms.
- ▌ Stakeholder Communication Plan · pilot2serviceBuilds a stakeholder communication plan by segmenting audiences on the power/interest grid and mapping each segment's position on the ADKAR change curve, defining objective, message, channel, cadence, and owner per segment. Use when a change effort needs more than a generic "keep stakeholders informed" line and different groups actually need different messages.
- ▌ Assumption And Evidence Audit · pilot2serviceExtracts every load-bearing assumption behind a recommendation, traces each to its source, grades the strength of the evidence, and ranks the gaps by leverage times weakness. Use before a business case, analysis, or recommendation is locked in, to see which unverified claims could actually change the conclusion if they turned out false.
- ▌ Stakeholder Analysis And Raci · pilot2serviceMaps every stakeholder or stakeholder group on a power/interest grid, assigns RACI roles per activity with exactly one Accountable each, and cross-checks the map against the RACI for gaps. Use when an initiative needs clarity on who to engage, how intensively, and who is actually accountable for each deliverable.
- ▌ AI Capability Pattern Matching · pilot2serviceUses a ready-made, research-based library of 13 AI capability patterns (see ../../references/ai-capability-pattern-library.md) to pose diagnostic questions to a new client/industry, to assemble a raw list of AI opportunity candidates — an alternative or complement to task-level decomposition.
- ▌ AI Discovery Engagement Design · pilot2serviceDesigns and productizes AI opportunity identification (the discovery phase) into a paid consulting engagement — a 4-phase engagement structure, fixed-price service products, and standardized deliverables (Portfolio, Business Case, ATOM/Readiness Scorecard, Roadmap).
- ▌ Requirements And Scope Framing · pilot2serviceClassifies requirements using BABOK's four types (business, stakeholder, functional, non-functional, transition), checks each against the IEEE 830 quality bar (correct, unambiguous, verifiable), and separates in-scope from explicitly out-of-scope items. Use before requirements are locked in, when scope keeps drifting or vague requirements like "the system should be fast" are passing unchallenged.
- ▌ Workshop And Facilitation Design · pilot2serviceDesigns the structure of a cross-functional workshop or design-thinking session using the Double Diamond and the Diamond of Participation, with explicit divergent, groan-zone, and convergent phases and a stated decision rule. Use when planning a workshop that has to both generate ideas and actually reach a decision, not just produce "great discussion".
- ▌ Second And Third Order Effects Mapping · pilot2serviceAnticipates the second- and third-order effects of a strategic decision or AI solution — how it changes customer behavior, the competitive landscape, and your own organization over time, beyond the direct first-order effect.
- ▌ AI Native Business Model Canvas · pilot2serviceDesigns the shift from an AI-enhanced business (AI bolted onto existing operations) to an AI-native one, using an extended Business Model Canvas with four AI-specific lenses: value proposition, data moat, human-AI interaction model, and cost of compute vs. revenue. Use when deciding whether AI is an add-on to the current business model or whether the model itself needs to be rebuilt around AI.
- ▌ Strategy Canvas And Value Curve · pilot2service bundleStructures competitors or alternative solutions on shared industry competitive factors, maps the industry's 'as-is curve,' and finds ways to break away from or differentiate against it — using the Blue Ocean Strategy model and the owner's 360 comparison tool.
- ▌ Executive Narrative And Storyline · pilot2serviceTurns a finished analysis into an executive-ready storyline using the Pyramid Principle: governing thought stated first, an SCQA opening, and MECE supporting arguments each traced down to specific evidence. Use when the analysis is done but still needs to become a narrative someone can act on, instead of a slide deck assembled section by section.
- ▌ Demo To Business Case Bridge · pilot2serviceTranslates demo/PoC results into business-case-ready ROI inputs: separates technical performance metrics from business impact metrics, tests whether a PoC-scale result scales responsibly to production scale, and checks whether the assumed ROI mechanism fits the customer's actual organizational structure. Use immediately after a successful demo/PoC, before its results are fed into a business case or ROI calculation.
- ▌ AI Reshuffle Opportunity Framing · pilot2serviceTests whether an AI opportunity is framed as automating an existing process (1st-order) or as a genuine value-chain reshuffle (3rd-order) using the shipping-container three-orders-of-effect model, before it enters scoring — catches the most common AI-strategy mistake: applying AI to unchanged structures instead of asking what AI changes about where value sits.
- ▌ Workshop To Agent Productization · pilot2serviceConverts a company's own unique expert material — a recorded workshop, a proprietary methodology session, a training deck — into an interactive AI agent customers can query, so it works as a learning aid AND a low-effort upsell/retention touchpoint instead of sitting unused as a static recording.
- ▌ Category Definition And Modeling · pilot2serviceModels a product or business relative to market categories: associating with an existing category, expanding/redefining a category, or assessing the creation of an entirely new category.
- ▌ Layer Based Business Structuring · pilot2serviceStructures a business, service concept, or business model into distinct functional layers (OSI-model-like) from infrastructure to brand, in order to decide which layers to build in-house and which to source through partners.
- ▌ Competitive And Five Forces Mapping · pilot2serviceMaps an industry's competitive dynamics using Porter's Five Forces — rivalry, threat of new entrants, substitutes, supplier power, buyer power — to explain why the industry is structurally attractive or not, not just who the named competitors are. Use when assessing whether a market or industry segment is worth entering, defending, or exiting.
- ▌ Opportunity Evaluation And Judgment · pilot2serviceRestates an identified opportunity as a falsifiable claim and structurally evaluates it against fixed criteria — market viability, feasibility, resource fit, strategic fit, risk — before resources are committed. Use once an opportunity has already been noticed and needs a deliberate go/no-go judgment, not another round of scanning for more ideas.
- ▌ Conways Law AI Architecture Check · pilot2serviceDiagnoses whether an organization's communication structure will get mirrored in whatever AI system it builds — fragmented teams produce fragmented, siloed AI tools with no shared capability — and applies the resequencing rule: decide on org structure before building the AI architecture, not after.
- ▌ Data Monetization Model Selection · pilot2serviceSelects and justifies a suitable data monetization model (direct: DaaS/Insight-as-a-Service/data exchange vs. indirect: product enrichment/resource optimization/risk mitigation/Data Flywheel) with a decision tree, and checks the feasibility of a Data Flywheel claim with a four-point checklist. Use once data has been validated as a strategic asset and you need to decide HOW to monetize it.
- ▌ Demo Delivery And Storytelling · pilot2serviceBuilds and delivers a demo following the Great Demo! methodology (Situation Slide, critical business issue/CBI, "do the last thing first"/inverted pyramid): Discovery → Demo Prep → Demo Delivery → Documentation → Debrief. Use when a prototyped solution needs to be presented to a customer or leadership so that it genuinely convinces rather than just showcasing features.
- ▌ Capability Commoditization Tracking · pilot2serviceTracks which of the organization's capabilities are becoming commoditized by AI (cheap, reproducible by a prompt) versus which are becoming newly complementary (valuable precisely because AI makes them combinable with other domains), and redirects investment away from the former toward the latter before the market forces the move.
- ▌ Responsible AI And Governance Check · pilot2serviceClassifies an AI initiative's EU AI Act risk tier and surfaces the regulatory, data-governance, and ethics obligations that follow from it, as a first-pass structuring check rather than a legal opinion. Use before an AI initiative goes to approval, especially one touching employment, credit, biometric, or other high-risk decisions about individuals.
- ▌ Data Literacy Competency Assessment · pilot2serviceAssesses an organization's or team's data literacy with a four-quadrant framework (Understanding data, Acting on data, Engaging through data, Ethics & privacy) and a four-step maturity ladder, differentiated by role. Use before launching a data strategy or AI initiative, when you need to identify which competency gap is blocking data exploitation.
- ▌ Shadow AI Response And Safe Adoption · pilot2serviceIdentifies unauthorized/unofficial AI tool usage already happening in the organization (Shadow AI) and replaces it with a safe, scalable official solution backed by a clear ROI.
- ▌ Opportunity Visioning With Pr Faq · pilot2serviceCommunicates and shows an AI opportunity using Amazon's Working Backwards method before anything has been built: writes a short future-dated press release (PR) and a question-and-answer section (FAQ) describing what the finished solution would look like from the customer's perspective. Use when an opportunity needs to be made concrete and discussable before prototyping, or when a prototype isn't yet feasible/worthwhile but the vision still needs to be communicated convincingly.
- ▌ Whiteboard Clarity And Jargon Stripping · pilot2serviceStrips AI-generated corporate jargon and marketing-speak ('AI slop') out of a text or pitch and replaces it with plain, concrete, human language, using a slop-strip test, a whiteboard test (explain it as if drawing for a friend in 45 seconds), and Steve-Jobs-style one-line compression. Use as a pass over any AI-drafted or AI-assisted document, deck, or pitch before it goes to a real audience — a different register from executive-narrative-and-storyline's logical structuring.
- ▌ AI Behavioral Specification Design · pilot2serviceSpecifies an AI's sentiment, tone, and precision ("temperature") as an explicit design artifact — a Behavioral Document — instead of leaving it implicit; includes how the AI should redirect rather than go silent when it hits a guardrail, and "prompt trees" as the dynamic replacement for a static service blueprint.
- ▌ AI Output Curation And Quality Control · pilot2serviceDesigns a quality-control and curation process for AI-generated content or decisions — the shift from 'creator' to 'curator': what gets checked, who checks it, and against what criteria before publication or use.
- ▌ Data Bias And Quality Critical Reading · pilot2serviceReads a given dataset or report critically before it's used as the basis for a decision or to train an AI model: identifies missing groups, bias types (selection, survivorship, historical, measurement, aggregation), and separates vanity metrics from decision-driving ones. Use before accepting any data-based claim, model, or recommendation at face value.
- ▌ AI Use Case Feasibility And Poc Scoping · pilot2serviceScopes an AI proof-of-concept around a single falsifiable hypothesis, sets a quantitative success bar and kill criterion against a named human baseline, and builds a golden test set before development starts. Use when a PoC needs to answer a real feasibility question rather than produce an impressive demo that proves nothing about production readiness.
- ▌ Hitl Maturity And Confidence Routing · pilot2serviceClassifies an AI process against a four-level Human-in-the-Loop maturity model (Smoke-and-Mirrors, Reactive HOTL, Intentionally Designed, Collaborative Intelligence) and designs a confidence-score routing table that sends work to automation, assisted validation, or human escalation — with the override-rate red flags that catch a stalled or fake HITL setup and a named accountable calibration owner.
- ▌ Demo Framing And Expectation Setting · pilot2serviceFrames a demo/prototype/PoC for the customer before presenting it with the right term (PoC vs. Pilot vs. MVP) and the right promise — what this demo PROVES, what it does NOT prove, and what happens next if it succeeds. Use before every demo or PoC presentation, especially when there's a risk the customer will over-interpret the demo as production-ready or as automatically progressing to production.
- ▌ Rapid Prototype And Vibe Coding Craft · pilot2serviceBuilds a fast, working, credible-enough prototype to prove an AI opportunity using AI-assisted coding ("vibe coding") — tool selection by task type, a tight prompt/review/test/commit iteration cycle, the right fidelity level, and known risks (hallucinated interfaces, auth gaps). Use when you need a fast, proof-capable prototype before committing to a bigger build.
- ▌ Bmc Economic Prototyping · pilot2serviceForces pricing, unit economics, and revenue-model assumptions into a live, testable form at the start of BMC work — a dynamic numbers prototype and a willingness-to-pay test — instead of leaving Revenue Streams and Cost Structure as an afterthought.
- ▌ Customer Journey And AI Touchpoint Mapping · pilot2serviceMaps the stages and friction points of a customer's service journey, and places AI on the journey only at the points where it genuinely creates value for the customer — not technology-first.
- ▌ Data AI Strategy Design And Prioritization · pilot2serviceDesigns a Data & AI strategy holistically (not in silos) using a Driver Tree tool to break business goals down into data points, and prioritizes what data to collect/use now vs. for the future with a Data Readiness x Strategic Value matrix. Use when an organization is planning which data and AI capabilities to invest in next.
- ▌ Data Storytelling And Business Translation · pilot2serviceTranslates the logic of data, an analysis, or an AI model into a story a decision-maker understands, using the Data-Information-Insight-Action ladder and the 'so what' test. Use when data or a model needs to be presented to a stakeholder so that it drives a decision instead of just sitting in a report.
- ▌ Customer Vision To Jtbd · pilot2serviceStructures a preliminary, free-form business vision into a customer profile (ICP), a Jobs-To-Be-Done analysis, and 5+2 need themes, scores them with a 5-criteria NMB+AI-advantage model, and selects an AI differentiator need (AI wedge) for further development.
- ▌ Task Level Decomposition And Automation Fit · pilot2serviceBreaks roles and processes down to task level (People Path + Process Path) and classifies every task into an Automate/Augment/Human-Only category using SML criteria (input/output clarity, cognitive nature, error tolerance, time scale) before prioritizing AI opportunities.
- ▌ Hitl Override Metrics And Feedback Audit · pilot2serviceAudits a human-AI partnership's health with override-rate and override-accuracy metrics (catching both automation bias and an under-performing model), and designs the feedback loop that turns human corrections into structured model-improvement input — the AI Flywheel and bidirectional learning.
- ▌ AI Buildable Prd Writing · pilot2serviceWrites a PRD (Product Requirements Document) as a work order for an AI build agent — problem, vision, core features, scope boundaries, and success criteria — plus supporting documents and a build plan.
- ▌ Bmc Channel Economics Check · pilot2servicePuts a real cost-to-acquire against every Channel on the canvas and checks it against the company's actual budget, payback period, and cash runway — so channels get chosen on economics, not just descriptive fit or trend appeal.
- ▌ Bmc Hunting Zone Definition · pilot2serviceDefines a one-sentence 'hunting zone' — megatrend × owned or acquirable assets × attractive customer segment — before sketching any BMC, so bottom-up business model experimentation stays bounded and comparable instead of producing scattered, unrelated one-off canvases.
- ▌ Bmc Proxy Expert Validation · pilot2serviceFinds people who professionally interact with your target customer's Jobs, Pains, and Gains every day — salespeople, support staff, brokers, consultants adjacent to your category — and interviews them as a fast, cheap, pattern-rich validation source before or alongside direct customer interviews.
- ▌ Bmc Revenue Quality Scoring · pilot2serviceScores each Revenue Stream and its matching Customer Relationship on a -3 to +3 resilience scale — recurring/contractual vs. one-off/unpredictable — instead of raw size, to reveal how fragile a model's top line actually is before it's mistaken for strength.
- ▌ Funding Pathway Design · pilot2serviceBuild a funding strategy that combines non-dilutive and dilutive funding in the right order, and manage runway.
- ▌ Self Efficacy And Cognitive Rot Shielding · pilot2serviceProtects the individual practitioner's own judgment and self-efficacy when working with an AI thinking partner: a Think-First rule (form your own hypothesis before consulting AI), an adversarial-sparring instruction pattern (ask the AI to find gaps, not agree), and voice ownership (keep authorship of your own argument). Use at the start of any analysis or working session with AI, before the first prompt is written — this is a discipline for how the human works, distinct from the rest of this pack's organizational HITL design skills.
- ▌ Bmc Tech Level Repositioning · pilot2serviceTests whether a business model can win by deliberately moving up (automating what's manual) or down (stripping out over-engineered technology) the technology-sophistication axis of Key Resources, Key Activities, and the Value Proposition — the win comes from business-model fit, not the tech level itself.
- ▌ Bmc Tool Switching Decisions · pilot2serviceDecides when to move from the BMC to another tool (Value Proposition Canvas, Lean Canvas, Mission Model Canvas, financial modeling, multiple parallel canvases) and assesses the quality of the canvas, hypothesis, and segment using three decision criteria before moving to the testing phase.
- ▌ Tto Engagement Strategy · pilot2serviceUse the Technology Transfer Office (TTO) effectively and recognise when outside support is needed alongside it.
- ▌ AI Native Opportunity Scan · pilot2serviceUses an agentic/closed-loop lens to find genuinely new AI-enabled business opportunities in your own startup case, and scores/prioritizes the findings by feasibility and the smallest prototypeable version.
- ▌ Bmc Canvas Diagnostic Reading · pilot2serviceReads a finished BMC canvas as a diagnostic instrument using seven research-based rules (Hook Rule, value-cost consistency, segment specificity, evidence grade, defensive canvas, missing block, gravity/lock-in check) and a four-dimension quality rubric.
- ▌ Bmc Operational Risk Scanning · pilot2serviceReads Key Partners, Key Activities, and Key Resources as an operational risk and third-party access surface — not just an operating description — to catch vendor-access, concentration, and bus-factor vulnerabilities that standard BMC facilitation misses.
- ▌ Stakeholder Pressure And Information Gap Mapping · pilot2serviceMaps the information asymmetry between a team and a decision-maker before a pitch is written: what pressures, metrics, and constraints the decision-maker is actually operating under that the team can't see, surfaced through pointed diagnostic questions rather than generic stakeholder interviews. Use before writing a pitch, business case, or executive narrative for a specific leader — not after a proposal has already been drafted around assumptions about what they care about.
- ▌ AI Accuracy Guardrails And Grounding Design · pilot2serviceDesigns absolute guardrails and grounds AI outputs against a named source of truth to counter sycophancy and hallucination, weighed against "tokonomics" — the cost, latency, and token price of every added guardrail instruction — so safety is achieved with the minimum instruction footprint, not the maximum.
- ▌ Expert Agency And Apprenticeship Protection · pilot2serviceDraws an explicit boundary around decisions AI may never make autonomously (high-stakes agency), and protects the junior-expertise pipeline against being silently automated away — the apprenticeship risk that erodes an organization's future ability to supervise and validate its own AI.
- ▌ Bmc AI Assisted Draft Starting · pilot2serviceStarts a BMC session from an AI-generated first-draft canvas and brand audit instead of a blank page — the team's real work becomes editing, rejecting, and enriching the draft rather than generating it from nothing, which is faster and surfaces disagreement earlier.
- ▌ Bmc Antibody And Sandbox Design · pilot2serviceReads a new business model for organizational-rejection triggers — margin conflict, sales-process conflict, cannibalization fear — inside the client's own organization, and designs a protected sandbox so internal 'antibodies' don't kill the experiment before it's tested.
- ▌ Bmc Client Language Translation · pilot2serviceInterprets typical client statements about BMC work ('we need to update our business model', 'we've already done a BMC') as strategic signals, and corrects three of the most common conceptual misunderstandings: value proposition as a feature list, customer segment as demographics, revenue stream as pricing.
- ▌ Bmc Experiment Method Selection · pilot2serviceDecides HOW to test a BMC hypothesis based on real build effort — build and test immediately if a working version is achievable in about two weeks, otherwise choose a cheaper proxy method (landing page, clickable mockup, Wizard of Oz, pre-order) instead of starting to build.
- ▌ Bmc Innovation Pattern Matching · pilot2serviceIdentifies and justifies 3-5 compatible business model innovation patterns (from the public 159-pattern innovation library) for a given business context, using the expert's own four-part innovation taxonomy (Financial/Operative/Value-based/Experience Model Innovations).
- ▌ Bmc Session Facilitation Design · pilot2serviceDesigns the structure of a BMC workshop using research-based heuristics: choosing a starting point, fill-in order, session length/team composition, when the canvas isn't yet finished, evidence color-coding, and presenting the canvas to stakeholders.
- ▌ Bmc Canvas Clarity And Iteration · pilot2serviceGuides BMC work with a variation logic aimed at clarity over depth: builds 2-3 alternative canvas variants, identifies when a team is stuck on a single canvas, and assesses canvas readiness using the expert's three criteria.
- ▌ Bmc Sensemaking Question Mapping · pilot2serviceBuilds the BMC as a structured set of open, falsifiable questions per block instead of filled-in answers, and distinguishes 'we lack data' gaps from 'we haven't interpreted contradictory signals' gaps — shifting effort from collecting more information (cheap, AI-abundant) to asking better questions (the actual scarce skill).
- ▌ Industry Partner Engagement · pilot2serviceBring industry partners into commercialisation early so the product and business logic stay grounded in reality.
- ▌ AI Native Tool Stack Selection · pilot2serviceSelects the smallest workable AI-native tool stack using a 12-category decision tree (thinking partner, research, design, app builder, coding agent, hosting, backend, skills, project management, notes, automation, agent building) — category-based, not tied to product names.
- ▌ Rice Scoring And Mvp Synthesis · pilot2serviceScores multiple solution directions with the RICE model (Reach, Impact, Confidence, Effort) to select an MVP, and turns the choice into an MVP definition, a one-sentence positioning statement, and three 'why we win' claims.
- ▌ Spinout Vs Licensing Pathway · pilot2serviceChoose the right commercialisation pathway for a research result: spin-out (equity-based), licensing (royalty-based), or hybrid.
- ▌ Bmc AI Scaled Customer Interviewing · pilot2serviceUses AI-moderated interviews to run customer discovery conversations at a scale no human team could match — hundreds of short interviews in parallel — then treats the aggregate as a filter: mines it for the most interesting outliers and patterns, and follows up on those personally.
- ▌ AI Native Conversational Os Design · pilot2serviceDesigns the conversational UI architecture for an AI-native product in six stages — Intent, Strategy Cards, Clarification, Output Cards, Mission, Agent Execution — applying five AI-first product principles (click > question, menus > prompts, dashboards > dialogue, manual actions > agents, screens > chat + cards).
- ▌ Research Opportunity Recognition · pilot2serviceAssess whether a research result has real commercial potential before building a commercialisation strategy — distinguishing genuine market pull from technology push.
- ▌ AI Differentiator Solution Ideation · pilot2serviceIdeates 3 distinct AI-native solution directions for the chosen AI differentiator need (AI wedge) through three lenses — competitor, future, and connect-the-dots — so the team doesn't fall in love with the first idea.
- ▌ Academic Entrepreneur Role Choice · pilot2serviceChoose your own role in a spin-out (full-time founder, scientific advisor, part-time) and manage balancing an academic career with entrepreneurship.
- ▌ Commercialisation Journey Roadmap · pilot2serviceStructure the entire commercialisation journey into five stages and build an actionable roadmap that ties stage gates to agile iteration.
- ▌ Commercialisation Readiness Check · pilot2serviceHelp a researcher or team assess whether the idea and team are ready to begin commercialising — from a learning-speed, not perfection, perspective.
- ▌ Ip Disclosure And Ownership Check · pilot2serviceEstablish who owns the IP arising from a research result and make a timely invention disclosure before public disclosure.
- ▌ Founder Competence Self Assessment · pilot2serviceWork through a structured 10-area / 76-item self-assessment (AFCA) of a founder's or team's readiness for an academic spin-out or research-based startup.