Assumption-driven planning and decision workspace

For

Marketing and operations teams that plan campaigns and decisions from assumptions

Solves

Plans and decisions are made from scattered assumptions that are never mapped, tested or owned, so teams repeat work and cannot show why a choice was made.

Delivers

Reviewed assumption map linked to a decision log

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Turn assumptions into editable, reviewable maps that connect to decisions and owners.

1. Generate structured maps from prompts or pasted text.
2. Edit and refine every branch after generation.
3. Support real-time collaboration on one map.
4. Switch between logic chart, tree table, org chart and timeline views.
5. Export maps as presentation slides and shareable files.
6. Convert documents and PDFs into maps.
7. Convert web pages, news and blogs into maps.
8. Convert YouTube videos into maps.
9. Create and edit maps through a chat interface.
10. Autosave maps and track version history.
11. Provide an infinite whiteboard for notes and brainstorming.
12. Offer AI suggestions and insights during brainstorming.
13. Apply SCAMPER and Six Thinking Hats frameworks.
14. Allow no-sign-up start for first maps.
15. Run fully in a web browser.
16. Manage campaign and email content inside the workspace.
17. Score and track leads with real-time analytics.
18. Connect to CRM systems.
19. Build customizable dashboards and reports.
20. Provide writing templates for common formats.
21. Check grammar and style in real time.
22. Set tone and voice for generated content.
23. Publish to connected platforms.

Everything these tools do, in one app

• AI mind map generation Automatically creates structured mind maps from user input or prompts.Found in WiseMap.ai, Xmind AI, MyMap MindMap Generator and 4 more
• Editable mind maps Allows users to manually adjust, refine, and customize mind maps after generation.Found in WiseMap.ai, Chatmind, Xmind AI
• Real-time collaboration Enables multiple users to work on the same mind map simultaneously.Found in Xmind AI, Chatmind, FunBlocks AI Brainstorming
• Multiple map structures Offers various visual formats like logic charts, tree tables, org charts, and timelines.Found in Xmind AI
• Presentation export Converts mind maps into presentation slides or other shareable formats.Found in Xmind AI, Mapify, FunBlocks AIFlow
• Document conversion Transforms documents, PDFs, and text into mind maps.Found in Mapify, Fluig AI
• Web content conversion Turns website content, news, and blogs into visual mind maps.Found in Mapify
• Video conversion Generates mind maps from YouTube videos.Found in Mapify
• Chat-guided mapping Uses a conversational chat interface to create and edit mind maps.Found in Chatmind
• Automatic saving Automatically saves mind maps and tracks version history.Found in Chatmind
• Infinite whiteboard Provides an unrestricted canvas for brainstorming and note-taking.Found in FunBlocks AIFlow
• AI suggestions Offers real-time AI-powered ideas and insights during brainstorming.Found in Xmind AI, FunBlocks AIFlow, FunBlocks AI Brainstorming
• Mental model frameworks Uses classic brainstorming techniques like SCAMPER and Six Thinking Hats to generate ideas.Found in FunBlocks AI Brainstorming
• No sign-up access Allows users to start creating mind maps immediately without registration.Found in WiseMap.ai, MyMap MindMap Generator
• Web-based platform Runs in a web browser, accessible from various devices without installation.Found in WiseMap.ai, Xmind AI, Chatmind and 5 more
• Content management Manages and organizes content for marketing and email campaigns.Found in MindMatrix
• Lead tracking Scores and tracks leads with real-time analytics.Found in MindMatrix
• CRM integration Connects with customer relationship management systems.Found in MindMatrix
• Customizable reporting Provides dashboards and reports that can be tailored to user needs.Found in MindMatrix
• Writing templates Offers pre-designed templates for various content formats.Found in Inspiq
• Grammar and style checking Checks and suggests improvements for grammar and writing style in real time.Found in Inspiq
• Tone and voice settings Allows customization of the tone and voice of generated content.Found in Inspiq
• Publishing platform integration Connects with popular publishing platforms for content distribution.Found in Inspiq

What goes in, what comes out

The workflow

1. In
   Start with

   Prompts, documents, PDFs, web pages, YouTube links, chat transcripts and existing campaign content

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect prompts

4. 3

   Documents

5. 4

   Web pages

6. 5

   Videos and chat transcripts

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Reviewed assumption map linked to a decision log

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed map schema and approved source set; final assumption validation and decision rights remain with the team. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Assumption intake, Editable map workspace, Decision and evidence log. Use a thumbnail gallery for maps, a large central canvas with multiple structures, and a right-hand panel for sources, owners, tests and comments. Let users compare map versions side by side. Display draft, in review and decided states. Provide a client preview link with comments anchored to the relevant branch. Make the task-specific outcome reviewed assumption map linked to a decision log visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, map versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Authorized documents, web pages, video links and chat transcripts. Cloud storage, CRM systems, publishing platforms and reporting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: generate structured maps from prompts or pasted text; edit and refine every branch after generation. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will marketing and operations teams that plan campaigns and decisions from assumptions use it to solve "plans and decisions are made from scattered assumptions that are never mapped, tested or owned, so teams repeat work and cannot show why a choice was made"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Assumptions tested per planning cycle and decisions with a named owner and evidence.
4. Measure, then decide. Track assumptions tested per planning cycle and decisions with a named owner and evidence; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed map schema and approved source set; final assumption validation and decision rights remain with the team. Implement one approved input format, a bounded representative case set and the first two task modules: generate structured maps from prompts or pasted text; edit and refine every branch after generation. Support the third module with operator review: support real-time collaboration on one map. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed assumption map linked to a decision log. Retain the explicit scope boundary: One fixed map schema and approved source set; final assumption validation and decision rights remain with the team.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity planning requires specialist review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed map schema and approved source set; final assumption validation and decision rights remain with the team.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined planning package. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist review separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed assumption map linked to a decision log. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Turn assumptions into editable, reviewable maps that connect to decisions and owners. Demonstrate a concrete reviewed assumption map linked to a decision log using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing and operations teams that plan campaigns and decisions from assumptions professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed assumption map linked to a decision log from a small authorized input set, with a transparent calculation of assumptions tested per planning cycle and decisions with a named owner and evidence and no promised savings.

The first 30 days

1. Week 1: interview five marketing and operations teams that plan campaigns and decisions from assumptions and inspect a recent example of plans and decisions made from scattered assumptions that are never mapped, tested or owned.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure assumptions tested per planning cycle and decisions with a named owner and evidence, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Assumptions tested per planning cycle and decisions with a named owner and evidence. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Assumptions tested per planning cycle and decisions with a named owner and evidence; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed assumption map linked to a decision log. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved map structures, decision examples and review corrections, together with reliable delivery for a narrow planning niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing and operations teams that plan campaigns and decisions from assumptions. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

WiseMap.ai, Xmind AI, MindMatrix, Chatmind, MyMap MindMap Generator, Fluig AI, Mapify, FunBlocks AIFlow, Inspiq and FunBlocks AI Brainstorming. Compare this product with the buyer's present method on assumptions tested per planning cycle and decisions with a named owner and evidence. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, document and video processing, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed assumption map linked to a decision log. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve source attribution, quotation accuracy and usage permissions. Teams approve substantive changes and decision scope. One fixed map schema and approved source set; final assumption validation and decision rights remain with the team. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.