# Ainna > Ainna is an AI product strategist for product managers, startup founders and innovation leaders. It applies The Innovation Mode methodology to a product idea: framing the problem, challenging assumptions, analysing the competitive landscape, sizing the market (TAM, SAM, SOM), scoring the opportunity, and generating stakeholder-ready documents: PRDs, Visual PRDs, one-pagers and pitch decks. Ideas in. Opportunities out. Ainna is built and operated by Innovation Mode Limited (Ireland, EU). Founder: George Krasadakis, creator of the Innovation Mode methodology and author of Innovation Mode 2.0 (Springer Nature, 2026); 25 years building data-driven products at Microsoft, Accenture, GSK and ResMed, and founder of five ventures. Ainna is privacy-first: content is never used to train AI models, never shared with other users and never sold; accounts are hosted in EU data centres under GDPR; generated documents are not stored on Ainna's servers (each one is rendered when it is downloaded); ideas and analyses stay in the account until the user deletes them, and any idea can be deleted in one click. Ainna is not a generic chatbot or a template library. The strategic analysis comes first; the documents are its output. Each guide below links to its markdown version (the HTML page URL is the same without ".md"). A guide is a structured FAQ (question, short answer, key points, key takeaway, sources); each question has its own anchor on the HTML page: https://ainna.ai/resources/faq/#. Fetch one guide's markdown when you need one topic; the full text of all guides in one file, cluster by cluster, is https://ainna.ai/llms-full.txt (about 1.4 MB). ## Product - [Ainna](https://ainna.ai): Main platform. Free to explore, no credit card required - [About Ainna](https://ainna.ai/about): The four-mode process: Frame, Assess, Reframe, Release - [Knowledge Hub](https://ainna.ai/resources): 39 practitioner guides on product strategy, documentation and innovation - [Ainna for Enterprise](https://ainna.ai/enterprise): Shared opportunity evaluation, portfolio strategy and innovation programs for teams and organisations - Who it is for: product managers (opportunity assessment, roadmap prioritisation, stakeholder documents), startup founders (investor pitches, market validation), hackathon teams (rapid pitch deck and PRD generation), university students (coursework, competitions, early idea validation) ## Pricing Free to start, no credit card; paid plans start at $99 per month, with no hidden fees and no lock-in. Starter: free, 1 Opportunity per month, with interactive idea framing, The Judge's ten-dimension assessment, personas, market outlook and competitive landscape, and previews of the Idea One-Pager and Problem Framing Document. Pro: $99/month, 25 Opportunities per month; adds Brainstorming Mode and full document generation and download: Pitch Deck, Idea One-Pager, Problem Framing Document and Deck, PRD and Product Requirements Deck. Team: $699/month, 50 Opportunities per month and 10 seats ($69.90 per person/month); adds a shared workspace, The Panel (independent assessments by the experts you invite), branded documents, themed decks, pivot history, the Patent Draft Accelerator and a Jira product backlog. Annual billing saves 20% on Pro and 25% on Team. Enterprise: a custom agreement for whole organizations, see https://ainna.ai/enterprise or contact sales@ainna.ai. An Opportunity is one idea taken all the way through the process: framed, enriched, assessed and documented; on paid plans the allocation resets monthly, and refining or re-running an Opportunity never uses another one. ## 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 - [How to Write a PRD: Structure, Template & Example](https://ainna.ai/resources/faq/prd-guide-faq.md): What a PRD is, the sections it needs, how long it should be, and a real example. A step-by-step process for writing a PRD fast, with AI as co-author. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/prd-guide-faq - [AI PRD: How to Write a PRD for AI Products & Agents](https://ainna.ai/resources/faq/ai-prd-guide-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-prd-guide-faq - [What Is a Visual PRD? A Visual-First PRD Format Explained](https://ainna.ai/resources/faq/visual-prd.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/visual-prd - [Product One-Pager: What It Is, Template & Example](https://ainna.ai/resources/faq/one-pager-guide-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/one-pager-guide-faq - [Product Discovery Documents: Templates & Examples](https://ainna.ai/resources/faq/product-discovery-documentation-faq.md): Documents product discovery should produce: problem statement, idea one-pager, idea assessment, product concept, experiment plan. Templates and examples. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-discovery-documentation-faq - [How to Write User Stories: Format, INVEST & Examples](https://ainna.ai/resources/faq/user-stories-agile-faq.md): How to write user stories that drive development: the standard format, INVEST criteria, epics, acceptance criteria, backlog refinement and AI help. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/user-stories-agile-faq - [Innovation Templates: Problem, Idea, Concept, Hackathon](https://ainna.ai/resources/faq/innovation-toolkit-templates.md): The ten documents that turn ideas into products: problem statement, business idea, idea assessment, product concept, experiment and hackathon templates. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/innovation-toolkit-templates ### Discovery & Validation: Find and test the right problem before building: product discovery, idea validation, experiments, MVPs, prototypes and design sprints, with and without AI - [What Is Product Discovery? Process, Framework & Templates](https://ainna.ai/resources/faq/product-discovery-faq.md): Product discovery is how teams find problems worth solving before building. The process, an idea-assessment framework, common mistakes, and templates. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-discovery-faq - [How to Validate a Startup Idea: Framework & Checklist](https://ainna.ai/resources/faq/startup-idea-validation-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/startup-idea-validation-faq - [Product Experiments: Wizard of Oz, Concierge & Fake Door](https://ainna.ai/resources/faq/product-experiments-guide.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-experiments-guide - [What Is an MVP? Meaning, Scope & How to Build One](https://ainna.ai/resources/faq/mvp-faq.md): MVP meaning, how to scope an MVP (what goes in, what waits), MVP vs prototype vs POC, cost, and the seven-step process to build one that gets feedback. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/mvp-faq - [What Is a Software Prototype? Types & How to Create One](https://ainna.ai/resources/faq/software-prototyping-guide.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/software-prototyping-guide - [What Is a Design Sprint? How to Run One (and When Not To)](https://ainna.ai/resources/faq/design-sprint-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/design-sprint-faq - [AI Design Sprint: How AI Changes the 5-Day Design Sprint](https://ainna.ai/resources/faq/ai-design-sprints-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-design-sprints-faq ### 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: How to Calculate Market Size (Examples)](https://ainna.ai/resources/faq/market-sizing-tam-sam-som-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/market-sizing-tam-sam-som-faq - [AI Market Research: Sources, Prompts & Hallucination Checks](https://ainna.ai/resources/faq/ai-market-research.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-market-research - [How to Do a Competitive Analysis: Framework & Template](https://ainna.ai/resources/faq/competitive-analysis-faq.md): How to do a competitive analysis that finds gaps instead of copying features: competitor types, frameworks, a template, and turning findings into strategy. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/competitive-analysis-faq - [How to Do a SWOT Analysis: Steps, Examples & Best Practices](https://ainna.ai/resources/faq/swot-analysis.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/swot-analysis - [Go-to-Market Strategy: Framework, Steps & Checklist](https://ainna.ai/resources/faq/go-to-market-strategy-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/go-to-market-strategy-faq - [How to Build a Product Roadmap: Types, Template & Strategy](https://ainna.ai/resources/faq/product-roadmap-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-roadmap-faq ### 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 - [Investor Pitch Deck: Structure, Slides & What Gets Scored](https://ainna.ai/resources/faq/pitch-deck-guide-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/pitch-deck-guide-faq - [What Is Product-Market Fit and How Do You Measure It?](https://ainna.ai/resources/faq/product-market-fit-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-market-fit-faq - [What Is Venture Building? Process, Models & Costs](https://ainna.ai/resources/faq/venture-building-faq.md): Venture building means creating new products or companies from validated opportunities. The process step by step, venture studio models, team and costs. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/venture-building-faq ### Innovation Leadership: Lead innovation that delivers: the chief innovation officer role, hiring the right leader, why corporate innovation fails, and corporate venture building - [Chief Innovation Officer (CINO): Role and Leadership Models](https://ainna.ai/resources/faq/chief-innovation-officer.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/chief-innovation-officer - [How to Hire a Chief Innovation Officer: A CEO and CHRO Guide](https://ainna.ai/resources/faq/hiring-chief-innovation-officer.md): When to hire a chief innovation officer, the ten competencies to test, interview questions with strong answers, a scorecard, red flags and first steps. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/hiring-chief-innovation-officer - [Why Corporate Innovation Fails, and How to Diagnose It](https://ainna.ai/resources/faq/why-corporate-innovation-fails.md): The six deficits behind corporate innovation failure, every pattern under each, the culture blockers, and how to diagnose where your company stands. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/why-corporate-innovation-fails - [Corporate Venture Building: Models, Process & Examples](https://ainna.ai/resources/faq/corporate-venture-building.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/corporate-venture-building ### Innovation Programs & Hackathons: Run innovation programs that produce opportunities: corporate hackathons, AI-era innovation events and brainstorming, and a shared innovation vocabulary - [How to Run a Corporate Hackathon: Steps, Judging & ROI](https://ainna.ai/resources/faq/corporate-hackathon-guide.md): How to run a corporate hackathon that produces real products: goals, formats, timeline, judging criteria, awards, AI tools, and how to measure ROI. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/corporate-hackathon-guide - [How to Win a Hackathon: Preparation, Team, Build & Pitch](https://ainna.ai/resources/faq/winning-hackathon-guide.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/winning-hackathon-guide - [AI Innovation Events: Brainstorms, Sprints & Hackathons](https://ainna.ai/resources/faq/ai-innovation-events-faq.md): How AI transforms innovation events from ideation to synthesis: brainstorming, design sprints, hackathons, the cultural risks, measurement and the tooling. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-innovation-events-faq - [AI Brainstorming: How AI Changes Ideation Sessions](https://ainna.ai/resources/faq/ai-brainstorming-ideation-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-brainstorming-ideation-faq - [Innovation Dictionary: 30 Innovation Terms Defined](https://ainna.ai/resources/faq/innovation-dictionary.md): Plain definitions of 30 innovation and product terms: disruptive innovation, MVP, product-market fit, TAM SAM SOM, opportunity discovery, the Innovation Graph. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/innovation-dictionary ### AI for Product Work: Use AI without losing judgement: AI for product managers, prioritising AI projects, AI engineering explained for product people, and the innovation tech stack - [How Product Managers Should Use AI in 2026: A Methodology](https://ainna.ai/resources/faq/ai-product-management.md): How PMs use AI across discovery, validation, documentation and strategy without prompt-first mistakes: skills, workflows, tool stack and what AI cannot replace. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-product-management - [How to Prioritize AI Projects: A Framework for Leaders](https://ainna.ai/resources/faq/ai-project-prioritization.md): A structured way to prioritize and invest in AI projects: problem-first framing, the AI-adapted Nine-Dimension assessment, risk gates and portfolio balance. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-project-prioritization - [AI Engineering for Product Teams: LLMs, RAG, Agents, Evals](https://ainna.ai/resources/faq/ai-engineering-faq.md): What product teams need to know about AI engineering: models, RAG, vector databases, agents, evals, MLOps, costs, hallucinations and build vs buy. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-engineering-faq - [Innovation Tech Stack: Tools Innovation Teams Use in 2026](https://ainna.ai/resources/faq/innovation-tech-stack.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/innovation-tech-stack ### 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 - [What Makes a Great Product Leader? 9 Essential Traits](https://ainna.ai/resources/faq/product-leadership-faq.md): 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. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-leadership-faq - [How to Build and Lead a Product Development Team](https://ainna.ai/resources/faq/product-development-team-guide.md): How to build a product development team that acts as one team: vision communication, culture, roles and size, leadership practices, and fixing fragmentation. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/product-development-team-guide - [Is AI Replacing Innovation Work? What Leaders Should Do](https://ainna.ai/resources/faq/ai-innovator-identity-faq.md): AI is absorbing ideation and prototyping. What that means for innovation roles, hackathons, attribution and culture, and how leaders should adapt. Updated 2026-09-13. Page: https://ainna.ai/resources/faq/ai-innovator-identity-faq ## Methodology - [The Innovation Mode](https://theinnovationmode.com/): The methodology behind Ainna - [Innovation Mode 2.0](https://theinnovationmode.com/innovation-mode-2-book): The book (Springer Nature, 2026) - [Business Idea Template (Universal Idea Model)](https://theinnovationmode.com/business-idea-template): The one-sentence template: "An [object] for [class of users] that [does something] in order to [achieve a goal]. Users benefit by [getting something back] when [they are in a specific situation]." ## Named frameworks (canonical definitions) - Visual PRD: a visual-first product requirements document organised in four chapters, Discover, Define, Build and Launch, with the depth of a long-form PRD. https://ainna.ai/resources/faq/visual-prd - Nine-Dimension Idea Assessment Model: a structured scoring of a product idea across nine dimensions before investment. https://ainna.ai/resources/faq/startup-idea-validation-faq#idea-assessment-model - Three-Layer PMF Journey: problem-market fit, solution-market fit, product-market fit. https://ainna.ai/resources/faq/product-market-fit-faq#pmf-three-layers - Seven-Step MVP Definition Process: the Innovation Mode method for scoping a first product version. https://ainna.ai/resources/faq/mvp-faq#seven-step-mvp-process - Connected Design Sprint: the AI-augmented design sprint with five augmentation layers. https://ainna.ai/resources/faq/ai-design-sprints-faq#what-is-connected-design-sprint - Connected Hackathon Model: hackathons as validation contests connected to the opportunity pipeline. https://ainna.ai/resources/faq/corporate-hackathon-guide#connected-hackathon-model - Hybrid Prototyping Model: combining AI-generated and hand-built prototypes inside a sprint. https://ainna.ai/resources/faq/ai-design-sprints-faq#hybrid-prototyping-model - Evidence-First TAM Method and Source-Trace Rule: market sizing where every figure traces to a source and holds under two methods. https://ainna.ai/resources/faq/ai-market-research#defensible-tam-methodology - Five-Layer Innovation Stack: capture and collaborate, design and build, validate and learn, manage the market, AI. https://ainna.ai/resources/faq/innovation-tech-stack#what-is-innovation-tech-stack - Six-Deficit Model: the six classes of deficit behind corporate innovation failure: leadership, organizational design, innovation capabilities, real-world connection, talent and culture, and venture building. https://ainna.ai/resources/faq/why-corporate-innovation-fails#six-deficits-model - Innovation Maturity Index: seven named levels of corporate innovation, from Innovation-inactive to Innovation-native, used to assess where a company stands and run a gap analysis. https://ainna.ai/resources/faq/why-corporate-innovation-fails#innovation-maturity-index - Federated Innovation Model: a network of innovation cores that keep local autonomy but share one innovation language, method and toolset, orchestrated by one innovation program. https://ainna.ai/resources/faq/chief-innovation-officer#federated-innovation-model - Innovation Masterplan: the living document that frames an innovation transformation program: objectives, scope, leadership model, projects, milestones and measures of success. https://ainna.ai/resources/faq/hiring-chief-innovation-officer#innovation-masterplan - TOWS Action Matrix: converting SWOT quadrants into strategy. https://ainna.ai/resources/faq/swot-analysis#tows-action-matrix ## Founder - [George Krasadakis](https://theinnovationmode.com/george-krasadakis): Founder and CEO of Ainna and The Innovation Mode. Author of Innovation Mode 2.0 (Springer Nature, 2026). 25 years building data-driven products at Microsoft, Accenture, GSK and ResMed; founder of five ventures. Based in Dublin, Ireland. ## Company and legal - [Product FAQ](https://ainna.ai/legal/faq): Pricing, file formats, branding, data privacy, GDPR - [Privacy Policy](https://ainna.ai/legal/privacy): EU hosting under GDPR, no AI training on user content, generated documents not stored (rendered on download), export anytime, delete any idea in one click - [Terms of Service](https://ainna.ai/legal/terms) ## Contact - General: hello@ainna.ai - Enterprise: sales@ainna.ai - Privacy: privacy@ainna.ai - Support: support@ainna.ai ## Optional - [Innovation Advisory](https://theinnovationmode.com/corporate-innovation-advisory): Chief Innovation Officer as a Service - [AI Strategy Advisory](https://theinnovationmode.com/ai-strategy-advisory) - [George Krasadakis on Medium](https://krasadakis.medium.com/)