# Ainna

> Ainna is AI for brainstorming and evaluating product ideas: it helps product teams and founders decide what to build, and why, before anything is built.
> For product teams (https://ainna.ai/): brainstorm product ideas with your team and AI, evaluate and prioritise every concept on ten dimensions with the reasoning shown, get stakeholder feedback, then write the PRD, functional specification and architecture.
> For founders (https://ainna.ai/founders): validate your startup idea with a detailed AI evaluation, shape the right MVP with feedback from people you trust, then write the pitch deck and business plan.
> For organisations (https://ainna.ai/enterprise): Ainna Enterprise helps the whole organisation innovate faster, with agentic AI for opportunity discovery. The Market and Corporate Radars sense, the Strategist frames, the Judge and your Panel grade, and a governed portfolio decides, in your own cloud.
> Built on the Innovation Mode methodology (Springer Nature). The name Ainna is short for AI Innovation Agent. Frame your next product.

Ainna is built and operated by Innovation Mode Limited (Dublin, Ireland, EU). Founder: George Krasadakis, creator of the Innovation Mode methodology and author of Innovation Mode 2.0 (Springer Nature, 2026; first published as The Innovation Mode, Springer, 2020; also available as the 2026 Author's Edition, Innovation Mode: Designing Innovative Companies in the Era of Artificial Intelligence, Innovation Mode Publishing); 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, and it is built to disagree when the evidence says so. General-purpose assistants tend to affirm what users want to do: in a 2026 study in Science, 11 leading AI models affirmed users' actions 49% more often than people did (Cheng et al., https://doi.org/10.1126/science.aec8352). The Judge is built to grade, not to please: it assesses the concept, shows its reasoning, names the one dimension holding the grade down, and says what would change it. 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/<guide>#<question-slug>. 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.

## Product

- [Ainna](https://ainna.ai): The home page, for product teams: AI brainstorming and idea evaluation. Frame your next product and discover if it's worth building: what Ainna is, the film of a real session, the Judge, how it works (frame, brainstorm, grade, decide), pricing, 16 answered questions (product discovery, problem statements, product opportunity assessment, PRDs, decision logs) and the latest problems from Problem Radar. A free trial, no credit card
- [Ainna for founders](https://ainna.ai/founders): For aspiring and first-time founders with a business idea, an app idea or no idea yet: validate the idea with an honest grade from the Judge, then go from a problem worth solving to the right MVP, with feedback from their inner circle, the startup documents (pitch deck, business plan with its go-to-market, MVP definition document, product backlog), a Decision Log and a Pivot Tracker, co-founder workspaces and stealth mode
- [How it works](https://ainna.ai/#how): Frame, brainstorm, grade, decide: every idea goes through the same four moves, so every opportunity that comes out is comparable with the rest
- [The Judge](https://ainna.ai/#judge): How a concept is graded, with the reasoning shown
- [The film](https://www.youtube.com/watch?v=iscv_92zHIM) (1:15): a real session in Ainna: an idea framed, graded C+ and then B−, proved with the market, the competition and the customers, and pitched. It plays on the home page and on /founders
- [Pricing](https://ainna.ai/#pricing): Pro, Team and Enterprise
- [FAQ](https://ainna.ai/#faq): From "What is Ainna?" to who owns what Ainna generates
- [About Ainna](https://ainna.ai/about): Innovation Mode Limited, the founder, the method and the mission
- [Document examples](https://ainna.ai/documents): the twelve documents Ainna writes, from a problem framing deck to a PRD, an FRS and an architecture document, each with sample pages and its own page
- [Knowledge Hub](https://ainna.ai/resources): 45 practitioner guides on product strategy, documentation and innovation
- [Ainna Enterprise, the opportunity discovery system for the whole organisation](https://ainna.ai/enterprise): The sibling product for organisations, formerly Ainna for Organisations: innovation management software that runs innovation as a continuous function across a whole organisation, on its own Innovation Agenda, in its own cloud and under its own brand, with the Market and Corporate Radars, the multi-agent assessment and one opportunity portfolio (its own section below)
- Who it is for: startup founders (grading a concept before committing months to it, investor pitches, market validation), product managers (opportunity assessment, roadmap prioritisation, stakeholder documents), heads of innovation and corporate innovation teams (a steady flow of well-framed, graded opportunities and a ranked portfolio), hackathon teams (rapid pitch deck and PRD generation), university students (coursework, competitions, early idea validation)

## How Ainna compares

- General AI assistants: brilliant generalists that tend to agree with the user. Ainna grades on a fixed rubric of ten dimensions, shows its reasoning, and is built to say no when the evidence says no.
- PRD writers: help write and review the document once you know what to build. Ainna decides whether the product is worth defining, then writes the PRD, functional specification and architecture from that evidence.
- Product-management suites: work from the customer feedback and backlog a team already has. Ainna works from a problem or an idea that has no feedback yet.
- Idea management platforms: collect and route ideas. Ainna Enterprise discovers, frames and grades opportunities with agentic AI.
- AI idea validators and business-plan generators: score an idea or draft a plan. Ainna frames the idea, grades it with the reasoning shown, brings in the people you trust and shapes the MVP before writing the documents.

## Key concepts

- Start anywhere: a product question, a rough idea or a problem worth solving. Someone without an idea yet starts with a problem, their own or one from Problem Radar's Index; the strongest opportunities often begin as a problem with no solution attached.
- Opportunity: the unit of work, and what the plans count. One problem taken all the way through: framed, opened, graded and documented into a complete 360-degree view. Refining or re-grading an Opportunity already started never uses another one.
- Brainstorm: one round of opening the solution space against a framed problem.
- The Judge: grades every concept on ten dimensions across two lenses, one for the problem and one for the solution, each scored with its justification, and names the single dimension holding the grade back. The verdict (pursue, pivot, park or reconsider, or redirect when it fits the agenda poorly) is a judgment that can be appealed with new evidence, free. Definition and lineage under Named frameworks.
- The Panel: the people a user brings, such as co-founders, advisors, specialists or target customers, assess the same opportunity independently, without seeing the Judge's grade until they have given their own. Where their judgment and the Judge's diverge, Ainna shows the disagreement rather than averaging it away. Included in Team (coming soon: listed, not yet on sale) and Enterprise; on Pro, the Circle brings in the people a user trusts.
- The Circle: anyone a user trusts reviews the idea through a private link, with no account needed, and their view is folded into the assessment. Included in Pro and Team.
- Human-at-the-core: not human-in-the-loop, where a person checks what the machine decided, but a person doing the work with the AI making them better at it: you frame the problem, you open the solution space, your experts grade the concept, you decide.
- Innovation Agenda: a clearly stated focus for innovation, linked to strategy: the themes to invest in, the outcomes sought and the targets that count. It is the reference every idea is measured against (holder fit), which makes two opportunities comparable rather than two opinions. It is not needed to start, and it is versioned.
- Innovation Graph: the central innovation store in The Innovation Mode methodology: an evolving network of problems, ideas, assessments, insights and market intelligence, linked by AI through the semantic relationships between items (one idea extends another, two duplicate, compete or complement each other), so ideas stay discoverable and innovation accumulates instead of being episodic.
- Problem Radar, Market Radar, Corporate Radar: one instrument at three scopes. Problem Radar is public and free (below); the Market Radar, in the Team plan, is tuned to the sectors, themes and geographies a team sets; the Corporate Radar, in Enterprise, is tuned to a company's Innovation Agenda and fed by its own people as well as the news. The private scopes land what they find in the user's portfolio, graded, and are never published.

## Ainna Enterprise: the opportunity discovery system for the whole organisation

- What it is: the opportunity discovery system for the whole organisation (https://ainna.ai/enterprise), innovation management software that uses agentic AI to find, frame and grade opportunities, rather than collect ideas. Deployed white-labelled in the customer's own cloud, it runs innovation as a continuous function rather than a programme of events: always-on discovery, structured assessment and a governed opportunity portfolio, with the organisation's own people in command of every verdict.
- The loop: two Radars sense continuously (the Market Radar reads the outside world: competitor moves, technology, regulation, demand; the Corporate Radar reads the organisation: strategy, priorities, capabilities, assets, problems, what has been tried), and every signal is read against the Innovation Agenda. What holds up is framed by the Strategist (problem, user, solution, why-now, with market sizing, competitive mapping and persona analysis), graded by the Judge on ten dimensions (covering viability, feasibility, desirability and strategic fit), challenged by the Panel (independent human experts, inside or outside the organisation, evaluating without seeing each other's verdicts), and lands in one opportunity portfolio that leadership prioritises and routes: validated concepts to the venture path, safe extensions to backlogs, novel inventions to the IP portfolio. Outcomes feed the Innovation Graph, the organisation's innovation memory.
- Around the loop: the innovation portal (one inclusive home for the agenda, the portfolios and the knowledge base), organisation-wide AI-amplified workshops (brainstorming, Design Sprints, connected hackathons, a governed innovation calendar, a workshop designer, event scorecards), innovation culture run as a programme (the MEM framework: motivation, enablement, measurement; recognition, community, rotation programmes, culture diagnostics), and innovation performance measured like a function (scorecard, strategy-alignment indicators, steering dashboards).
- The journey: the seven-level Innovation Maturity Index, from innovation-inactive to the Innovation Mode, and a six-phase transformation programme (Power-up, Spark, Connect, Empower, Scale-up, Embed) organising more than 70 structured initiatives.
- Deployment and trust: the customer's cloud and security perimeter, white-label, SSO and audit logs, full data sovereignty, EU data residency under GDPR available by design, no AI training on customer data, hard deletion on demand, fully editable PPTX and DOCX exports.
- Commercials: one flat licence for the whole organisation, never per seat, scoped to deployment model and portfolio size; no rate card. Engagements start with a free 30-minute working session on one real problem from the organisation, taken live from raw statement to graded opportunity. A limited design-partner programme per sector adds roadmap influence, founder-led engagement and innovation advisory.
- The page's questions run from "What is Ainna Enterprise?" and "What is agentic innovation management?" to deployment, data use, pricing and how it differs from idea-management platforms, general AI assistants and market-intelligence tools.

## Pricing

A free trial, no credit card; paid plans start at $99 per month, with no hidden fees and no lock-in. Two things are metered: an Opportunity (one problem taken all the way through the method) and a Brainstorm (one round of opening the solution space against a framed problem). Every new account starts on a 7-day free trial: 3 fully framed Opportunities and 3 Brainstorms in all, with interactive idea framing, Brainstorming Mode, The Judge's assessment, personas, market outlook and competitive landscape, and four documents in full, the Pitch Deck, the Idea One-Pager, the Problem Framing Document and the Brainstorm Outcomes Deck. When the trial ends, everything made stays to open and read, and a plan is chosen to continue. Pro: $99/month, 15 fully framed Opportunities and 10 Brainstorms per month; adds the Circle (anyone you trust reviews your idea through a private link, no account needed), re-assessment that is never metered and keeps the history of what moved the score, and full generation and download of all fourteen documents: Pitch Deck; Idea Social Carousel; Problem Social Carousel; Idea One-Pager; Problem Framing Document; Problem Framing Deck; Brainstorm Outcomes Deck; Product Requirements Document (PRD); Product Requirements Deck; PRD Executive Brief; Functional Requirements Specification (FRS); System Analysis, Design and Architecture; Business Plan; Investor Pitch Deck. Team (coming soon: listed, not yet on sale): $699/month, 100 fully framed Opportunities and 100 Brainstorms per month pooled across 10 seats ($69.90 per person/month); adds a shared workspace, the Panel (experts you choose assess each idea independently, before they see the Judge's grade), the Market Radar tuned to the sectors, themes and geographies you set, branded documents, themed decks, pivot history, and two more documents: Patent Draft Accelerator; Jira Product Backlog. Annual billing saves 20% on Pro and 25% on Team. Enterprise: a custom agreement for whole organisations (their own cloud and perimeter, their brand on every screen, everyone included rather than priced by the seat, and the Market and Corporate Radar tuned to their Innovation Agenda); see https://ainna.ai/enterprise or contact team@ainna.ai. On paid plans the allocation resets monthly, and refining or re-running an Opportunity never uses another one.

## Problem Radar: problems worth solving

Problem Radar, by Ainna, collects real-world problems worth solving: big problems, small first steps. Ainna's Radar spots them at scale and finds others in public reporting; Ainna's innovation team chooses and edits every one before it is published. Each one is framed to one standard (who lives with it, why now, why it matters and what it would take to make a dent) and scoped to what a small team or a startup could start on. Every entry shows its provenance: spotted by Ainna's Radar, found in public reporting (and linking the reporting it was framed from), or framed by Ainna's innovation team. A figure appears only with its source, attributed and dated, in the problem's why-now. Free to read, no account. The same instrument runs privately on paid plans, tuned to a market or to a company.

- [The Index](https://ainna.ai/problems): every problem currently on Problem Radar, each with its framing, where it came from and what it would take
- [The Index as Markdown](https://ainna.ai/problems.md): every problem on the Index in one file, each in full with its sources; the best single fetch for the whole corpus
- Each problem as Markdown: https://ainna.ai/problems/<slug>.md, the page's address plus ".md"
- [Collections](https://ainna.ai/problems/collections): curated sets, including hackathon problem statements ready to hand out as challenges; every problem page also copies itself as a challenge brief
- [Editions](https://ainna.ai/problems/editions): the team's take on the Index, published when there is something to say: each a set of problems and the story of why they matter now, dated and signed
- [How Problem Radar works](https://ainna.ai/problems/how-it-works): how a problem reaches the Index: the Radar finds and drafts at scale, Ainna's innovation team chooses and edits, and every problem states where it came from
- [RSS](https://ainna.ai/problems/feed.xml) and [JSON Feed](https://ainna.ai/problems/feed.json): the newest problems, each in full with its sources
- An individual problem lives at https://ainna.ai/problems/<slug>
- Each problem page links the Knowledge Hub guides for its scale (validate it, size the market, run it as a hackathon, define the MVP), and many guides end with real problems to try them on

Problems are browsable by domain (energy, health, finance, work, cities, enterprise AI, logistics, education, public sector, media, food), by theme, and by what it would take to solve one: a hackathon (a weekend, a few people, data that is already reachable), a side project (months of evenings, a small team, no capital and nobody's permission) or a funded startup (a company behind it: capital, a sales motion, the right to operate). A facet page with six or more problems is indexable and listed in the sitemap; a thinner one answers with noindex but stays crawlable, and either is the fastest way to find the problems that match a given question.

## Document examples: how Ainna packages the work

Start with a problem: Ainna frames it with you, brainstorms the ideas, grades them against the evidence and works the strongest through (who it's for, the market, the competition, the product and the plan), then packages the work as finished, editable documents: PowerPoint decks and Word documents designed to be presented. They are deliverables, not templates: each is written from the user's own analysis, so the documents agree with one another. The designs are original, built on the method of Innovation Mode 2.0 by George Krasadakis (Springer Nature, 2026). Which documents a user can create depends on their plan.

- [Document examples](https://ainna.ai/documents): the twelve documents, each with sample pages, its definition, what is inside and what it is distilled from; [as Markdown](https://ainna.ai/documents.md)
- Each document has its own page, the canonical page for that kind of document: the sample first (its open pages), then its definition, the method it follows, what is inside, where it sits among the twelve and its own questions. Each page's Markdown is at the same address plus ".md".
- The problem: [Problem Framing Document](https://ainna.ai/documents/problem-framing-document) (Word); [Problem Framing Deck](https://ainna.ai/documents/problem-framing-deck) (PowerPoint, 11 slides); [Problem Social Carousel](https://ainna.ai/documents/problem-carousel) (5 portrait slides); [Brainstorm Outcomes Deck](https://ainna.ai/documents/brainstorm-deck) (PowerPoint)
- The idea: [Idea One-Pager](https://ainna.ai/documents/idea-one-pager) (Word); [Idea Social Carousel](https://ainna.ai/documents/idea-carousel) (5 portrait slides); [Pitch Deck](https://ainna.ai/documents/pitch-deck) (16 slides)
- The product: [Product Requirements Document (PRD)](https://ainna.ai/documents/prd) (Word, about 20 pages); [Product Requirements Deck](https://ainna.ai/documents/prd-deck) (42 slides in four parts); [PRD Executive Brief](https://ainna.ai/documents/prd-brief) (14 slides)
- The build: [Functional Requirements Specification (FRS)](https://ainna.ai/documents/frs) (Word; also called a functional specification, FS or FSD, close to the software requirements specification, SRS, of ISO/IEC/IEEE 29148; every requirement traced to the PRD); [System Analysis, Design and Architecture](https://ainna.ai/documents/architecture) (Word, with context and logical architecture diagrams). For software, digital and integration concepts.
- About the samples: every sample page comes from one public problem, [problem 0032 on Problem Radar](https://ainna.ai/problems/workforce-unprepared-for-the-disruption-ai-is-bringing), which Ainna framed and developed into one idea, VentureForce. It is a concept, not a company; its market figures are AI estimates.

## 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

- [What Is a PRD? How to Write One, With Template & Example](https://ainna.ai/resources/faq/prd-guide-faq.md): 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. Updated 2026-09-24. Page: https://ainna.ai/resources/faq/prd-guide-faq
- [AI PRD: What It Means and How to Write One for AI 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 2026-09-24. 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
- [What Is a One-Pager? Product 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 2026-10-01. 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 2026-09-24. 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 2026-09-24. 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 2026-09-24. 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 2026-09-28. 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 2026-09-28. Page: https://ainna.ai/resources/faq/product-experiments-guide
- [What Is an MVP? Minimum Viable Product, Scope, Features](https://ainna.ai/resources/faq/mvp-faq.md): 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. Updated 2026-09-28. Page: https://ainna.ai/resources/faq/mvp-faq
- [How to Build an MVP With AI: 7 Steps and What to Check](https://ainna.ai/resources/faq/how-to-build-an-mvp.md): 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. Updated 2026-09-28. Page: https://ainna.ai/resources/faq/how-to-build-an-mvp
- [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 2026-09-28. 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 2026-09-28. 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 2026-09-28. 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 2026-09-24. 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 2026-09-24. 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 2026-09-24. 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 2026-09-24. 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 2026-09-28. 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 2026-09-24. 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 2026-09-28. 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 2026-09-28. 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 2026-09-28. Page: https://ainna.ai/resources/faq/venture-building-faq

### 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 (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 2026-10-01. 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 2026-10-01. Page: https://ainna.ai/resources/faq/hiring-chief-innovation-officer
- [Innovation Culture: What It Is, 6 Components, How to Measure](https://ainna.ai/resources/faq/innovation-culture.md): 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. Updated 2026-10-01. Page: https://ainna.ai/resources/faq/innovation-culture
- [How to Build a Culture of Innovation: 8 Blockers, 6 Fixes](https://ainna.ai/resources/faq/build-culture-of-innovation.md): 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. Updated 2026-10-01. Page: https://ainna.ai/resources/faq/build-culture-of-innovation
- [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 2026-10-01. Page: https://ainna.ai/resources/faq/why-corporate-innovation-fails
- [Does Your Company Need an Innovation Lab? It Depends](https://ainna.ai/resources/faq/do-you-need-an-innovation-lab.md): 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. Updated 2026-10-01. Page: https://ainna.ai/resources/faq/do-you-need-an-innovation-lab
- [How to Set Up a Corporate Innovation Lab in the Era of AI](https://ainna.ai/resources/faq/how-to-set-up-an-innovation-lab.md): 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. Updated 2026-10-01. Page: https://ainna.ai/resources/faq/how-to-set-up-an-innovation-lab
- [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 2026-10-01. 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 2026-10-01. Page: https://ainna.ai/resources/faq/corporate-hackathon-guide
- [How to Write a Hackathon Problem Statement: Template](https://ainna.ai/resources/faq/hackathon-problem-statement.md): 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. Updated 2026-10-01. Page: https://ainna.ai/resources/faq/hackathon-problem-statement
- [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 2026-10-01. 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 2026-10-01. 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 2026-10-01. 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 2026-09-28. Page: https://ainna.ai/resources/faq/innovation-dictionary

### 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

- [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 2026-09-28. 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 2026-09-24. 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 2026-10-28. 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 2026-09-28. 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 2026-09-24. 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 2026-09-24. 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 2026-09-24. 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: the second edition of The Innovation Mode (Springer, 2020), published by Springer Nature in January 2026 (ISBN 978-3-032-00835-0); also available as the 2026 Author's Edition, Innovation Mode: Designing Innovative Companies in the Era of Artificial Intelligence (Innovation Mode Publishing)
- [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, as published in The Innovation Mode. https://ainna.ai/resources/faq/startup-idea-validation-faq#idea-assessment-model
- The Judge: Ainna's implementation of that model, evolved to ten dimensions across two lenses, one for the problem and one for the solution, each scored with its justification and the single dimension holding the grade named. The book's nine and Ainna's ten are the same lineage, not a contradiction. https://ainna.ai/#judge
- Three layers of product-market fit: problem-market fit, solution-market fit, product-market fit; a model developed for Ainna on top of the Innovation Mode methodology. https://ainna.ai/resources/faq/product-market-fit-faq#pmf-three-layers
- Seven-Step MVP Definition Process: the Innovation Mode method for defining a first product version, from setting the context to defining success. https://ainna.ai/resources/faq/how-to-build-an-mvp#how-to-build-an-mvp-step-by-step
- 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 market sizing: every figure traces to a source you can open and holds under two methods (top-down and bottom-up), the market-research guide's own rule. 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
- Innovation Capability Index: each innovation capability scored for urgency and for technology dependency, which sorts them into implement now, start exploring, do nothing for now and it can wait. https://ainna.ai/resources/faq/how-to-set-up-an-innovation-lab#how-to-start-an-innovation-lab
- Six Components of Innovation Culture: trust, safety, openness, curiosity, purposefulness and healthy competition, the principles an innovation culture evolves on, as published in Innovation Mode. https://ainna.ai/resources/faq/innovation-culture#components-of-innovation-culture
- Healthy Competition Protocol: twelve principles for competing on ideas while still collaborating: innovation is always on and open to all, critique is welcome, ideas have originators and contributors instead of owners, no single person decides an idea's future, and there is no space for corporate politics. https://ainna.ai/resources/faq/innovation-culture#healthy-competition-protocol
- Innovation Culture Score: one measure of the dominant mindset and attitude toward innovation, computed from an Innovation Pulse micro-questionnaire alongside eleven culture metrics such as community size, active community and churn; it is the Culture component of the innovation performance scorecard. https://ainna.ai/resources/faq/innovation-culture#measure-innovation-culture
- Eight Blockers of Innovation Culture: innovation not linked with strategy and purpose, no link with career progression, too busy to innovate, lost in hierarchy and bureaucracy, fear of exposure and criticism, no tools, templates or guidance, leadership disconnect, and blocked by the manager; each has a fix. https://ainna.ai/resources/faq/build-culture-of-innovation#barriers-to-innovation-culture
- Six Culture Fixes: define what innovation means for your company, redefine failure, add elasticity to the organizational structure, educate innovators through an Innovation Academy, become responsive and transparent, and connect with innovators. https://ainna.ai/resources/faq/build-culture-of-innovation#how-to-build-a-culture-of-innovation
- MEM Loop (the MEM Innovation Culture Improvement Framework): Motivate, Enable, Measure, a continual loop of culture improvement run in iterations of weeks or months, whose threads converge as the organization matures. https://ainna.ai/resources/faq/build-culture-of-innovation#sustain-innovation-culture
- 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; first published as The Innovation Mode, Springer, 2020; also available as the 2026 Author's Edition from Innovation Mode Publishing). 25 years building data-driven products at Microsoft, Accenture, GSK and ResMed; founder of five ventures. Based in Dublin, Ireland.

## Company and legal

- [FAQ](https://ainna.ai/faq): Plans and pricing, the free trial, key terms, cancelling, refunds, and who owns your work
- [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)
- [Ainna AI on YouTube](https://www.youtube.com/@ainna-ai): the product films
- [The Innovation Mode on YouTube](https://www.youtube.com/@theinnovationmode): the methodology's channel

## Contact

- General: hello@ainna.ai
- Enterprise: team@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/)