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Innovation leadership guides
Guides for product builders and innovation leaders
Practitioner guides on PRDs, discovery, market sizing, pitch decks, hackathons and corporate innovation, built on the Innovation Mode methodology by George Krasadakis, author of Innovation Mode 2.0 (Springer Nature, 2026).
45
guides
996
questions answered
25
years of practice
Each guide answers the questions product managers, founders and innovation leaders search for, across the whole arc of the work: frame the problem, validate the idea, size the market, write the documents, take it to market, and lead the innovation behind it. The same methodology powers Ainna, which produces those documents from a conversation.
Browse by topic
7 guides
Product Documentation
The documents that get products built and funded: PRDs, AI PRDs, the Visual PRD, one-pagers, user stories and the discovery documents behind them.
PRD Guide
A PRD (product requirements document) defines what to build and why. The sections it needs, how long it should be, a real example, and writing one with AI.
AI PRD Guide
What PRD means in AI work, how an AI PRD differs from a traditional one, and the sections it must add: evals, guardrails, model choices, failure modes.
Visual PRD
A Visual PRD is a visual-first product requirements document with long-form depth. The four chapters, when it replaces the PRD, and how to make one.
Product One-Pager
What a one-pager is, the six sections a product one-pager needs, the one-sentence summary that anchors it, and the mistakes that turn it into a shrunken PRD.
Discovery Documents & Templates
Documents product discovery should produce: problem statement, idea one-pager, idea assessment, product concept, experiment plan. Templates and examples.
User Stories
How to write user stories that drive development: the standard format, INVEST criteria, epics, acceptance criteria, backlog refinement and AI help.
Innovation Templates
The ten documents that turn ideas into products: problem statement, business idea, idea assessment, product concept, experiment and hackathon templates.
8 guides
Discovery & Validation
Find and test the right problem before building: product discovery, idea validation, experiments, MVPs, prototypes and design sprints, with and without AI.
Product Discovery
Product discovery is how teams find problems worth solving before building. The process, an idea-assessment framework, common mistakes, and templates.
Startup Idea Validation
How to validate a startup idea before building: validate the problem first, score it on nine dimensions, design a business experiment, and know when to stop.
Product Experiments
How to test a product idea before building it: fake door, Wizard of Oz and concierge tests, A/B tests, choosing the right one, and a template to design it.
MVP Guide
What an MVP (minimum viable product) is, how to define its scope, which features go in and which wait, MVP vs prototype, cost, and whether the MVP is dead.
Build an MVP With AI
How to build an MVP with AI: the seven steps that define it before you build, which kind of tool suits which founder, how fast it goes, and what to check.
Software Prototyping
A software prototype is an incomplete product version built to test an idea before full development. Types, tools, steps, and what to do with feedback.
Design Sprints
What a design sprint is and produces, when to run one and when not to, how to write the problem statement, pick the team, facilitate and measure results.
AI Design Sprints
What an AI design sprint is, the Connected Design Sprint framework, the five AI augmentation layers, a 5-day schedule, and how to keep the creative core.
6 guides
Market & Strategy
Size the market, read the competition and choose a route to it: TAM/SAM/SOM, AI market research, competitive analysis, SWOT, go-to-market and roadmaps.
TAM SAM SOM Market Sizing
What TAM, SAM and SOM mean, how to calculate each top-down and bottom-up, worked examples, and how to present market size so investors believe it.
AI Market Research
How to use AI for market research without hallucinated numbers: which sources to trust, how to prompt for evidence, and how to reconcile TAM estimates.
Competitive Analysis
How to do a competitive analysis that finds gaps instead of copying features: competitor types, frameworks, a template, and turning findings into strategy.
SWOT Analysis
How to do a SWOT analysis that drives decisions: the four parts, worked examples, the TOWS action matrix, and the mistakes that leave it as a tidy grid.
Go-to-Market Strategy
What a go-to-market strategy is, the framework and steps to build one, a launch checklist, and how AI changes GTM planning for new products.
Product Roadmap
What a product roadmap is, roadmap vs backlog vs release plan, the main types, how to build and prioritize one, outcome-based roadmaps and stakeholder buy-in.
3 guides
Startups & Fundraising
From idea to investable company: pitch decks investors read, product-market fit and how to measure it, and venture building inside and outside corporations.
Pitch Deck Guide
The slides investors expect, the four questions they score, a slide-by-slide structure, and the mistakes that lose the meeting. Plus five pre-send checks.
Product-Market Fit
Product-market fit explained: the signals, the Sean Ellis test, retention curves, the three-layer PMF journey, PMF for AI products and when it is safe to scale.
Venture Building
Venture building means creating new products or companies from validated opportunities. The process step by step, venture studio models, team and costs.
8 guides
Innovation Leadership
Lead innovation that delivers: the chief innovation officer role, hiring the right leader, what innovation culture is and how to build one, why corporate innovation fails, and corporate venture building.
Chief Innovation Officer
What a chief innovation officer does, the five ways to organize innovation leadership and their risks, the federated model, and the team the role needs.
Hiring a CINO
When to hire a chief innovation officer, the ten competencies to test, interview questions with strong answers, a scorecard, red flags and first steps.
Innovation Culture
Innovation culture defined: why no company can buy it, the six components from trust to psychological safety, the 12-principle protocol, and how to measure it.
Build a Culture of Innovation
How to build a culture of innovation: the eight blockers and the fix for each, six inexpensive fixes, psychological safety, middle managers and the MEM loop.
Why Innovation Fails
The six deficits behind corporate innovation failure, every pattern under each, the culture blockers, and how to diagnose where your company stands.
Do You Need a Lab?
Does your company need an innovation lab? The five things it depends on, whether labs work, the alternatives, when to start, when to close, what AI changes.
Set Up an Innovation Lab
How to set up an innovation lab that lasts: a function, not a place. The mandate, the team, the services, what AI changes, metrics, budget and the first year.
Corporate Venture Building
Corporate venture building explained: how it differs from venture capital, the main models, how to set up a unit, why ventures fail and how to measure them.
6 guides
Innovation Programs & Hackathons
Run innovation programs that produce opportunities: corporate hackathons, AI-era innovation events and brainstorming, and a shared innovation vocabulary.
Corporate Hackathons
How to run a corporate hackathon that produces real products: goals, formats, timeline, judging criteria, awards, AI tools, and how to measure ROI.
Hackathon Problem Statements
How to write a hackathon problem statement teams can act on in a weekend: the six-part template, worked examples, the pre-flight checks and what AI changes.
How to Win a Hackathon
How to win a hackathon, step by step: pick the right idea, prepare, build a scoped MVP with AI tools, and pitch so judges score you first. Plus the pitfalls.
AI Innovation Events
How AI transforms innovation events from ideation to synthesis: brainstorming, design sprints, hackathons, the cultural risks, measurement and the tooling.
AI Brainstorming
What AI-powered brainstorming is, what the AI Ideator does in the room, the bionic brainstorming format, and how to introduce it to a skeptical team.
Innovation Dictionary
Plain definitions of 30 innovation and product terms: disruptive innovation, MVP, product-market fit, TAM SAM SOM, opportunity discovery, the Innovation Graph.
4 guides
AI for Product Work
Use AI without losing judgment: AI for product managers, prioritizing AI projects, AI engineering explained for product people, and the innovation tech stack.
AI for Product Managers
How PMs use AI across discovery, validation, documentation and strategy without prompt-first mistakes: skills, workflows, tool stack and what AI cannot replace.
Prioritizing AI Projects
A structured way to prioritize and invest in AI projects: problem-first framing, the AI-adapted Nine-Dimension assessment, risk gates and portfolio balance.
AI Engineering Basics
What product teams need to know about AI engineering: models, RAG, vector databases, agents, evals, MLOps, costs, hallucinations and build vs buy.
Innovation Tech Stack
The five layers of the innovation tech stack, the tools worth standardizing on for capture, design, validation and market intelligence, and where AI now fits.
3 guides
Leadership & Teams
Lead product people well: the traits of great product leaders, building product development teams that ship, and what AI changes about innovation roles.
Product Leadership
The nine traits of great product leaders, from product sense to commercial acumen, how to develop them, and what changes for product leadership in the AI era.
Product Development Teams
How to build a product development team that acts as one team: vision communication, culture, roles and size, leadership practices, and fixing fragmentation.
Is AI Replacing Innovation Work?
AI is absorbing ideation and prototyping. What that means for innovation roles, hackathons, attribution and culture, and how leaders should adapt.
Problem Radar · Big problems. Small first steps.
Put a guide to work on a real problem
Each one is framed to the same standard, shows where it came from, and is scoped for a hackathon, a side project or a startup.
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When curiosity is there, openness to change rises, and fear of failure drops.George Krasadakis Innovation Mode 2.0 — Springer Nature, 2026