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Prompt Details

Model
Chat - (gpt-5.6)
Token size
2,746
Example input
[AUDIENCE_CONTEXT]: Platform: YouTube Niche: Practical AI tools and productivity Audience: 8,500 subscribers Content: Tutorials, tool comparisons, and workflow videos Email list: 1,200 subscribers Current paid products: None [DEMAND_SIGNALS]: Viewers repeatedly ask: - Can you share the prompts used in your videos? - Which AI tools are worth paying for? - Can you show the complete workflow? - Do you have a beginner setup? Workflow tutorials usually receive more comments than general AI-news videos. No product-purchase data exists yet. [CREATOR_ASSETS]: 40+ AI tutorials Personal prompt library Several workflow diagrams Email list Existing tutorial scripts No course [PRODUCT_PREFERENCES]: Prefer a downloadable digital product. Would like to reuse existing material. Do not want a membership or full course. Interested in prompts, workflow guides, and beginner resources. [VALIDATION_CONSTRAINTS]: Available time: 5 hours per week. Budget: Under $100. Must be testable within two weeks. Do not make income promises. Prefer testing demand before completing the full product.
Example output
1. DEMAND SNAPSHOT Audience: YouTube viewers interested in practical AI tools and workflows. Niche: AI productivity. Current audience access: 8,500 YouTube subscribers plus 1,200 email subscribers. Strongest observed need: Reusable prompts and complete workflow resources. Existing assets: Tutorials, prompt library, workflow diagrams, scripts. Preferred product model: Downloadable one-time product. Main validation constraint: Five hours per week and under $100. 2. DEMAND SIGNAL MAP Signal: Repeated requests for prompts. Type: Direct signal Possible need: Reusable prompts connected to practical workflows. Strength: High relative to supplied evidence. What it proves: The resource itself is repeatedly requested. What it does not prove: That viewers will pay for it. Signal: Workflow videos receive more comments than AI-news videos. Type: Behavioural signal Possible need: Practical implementation content. Strength: Moderate. What it proves: Workflow content creates stronger discussion. What it does not prove: Purchase intent. 3. AUDIENCE PROBLEM CLUSTERS Problem 1: People understand individual AI tools but struggle to combine them into practical workflows. Problem 2: Viewers repeatedly want access to prompts demonstrated in videos. Problem 3: Beginners want help narrowing down which tools and workflows to start with. 4. DIGITAL PRODUCT HYPOTHESES Product 1: AI Workflow Starter Toolkit Buyer: Beginner-to-intermediate AI users. Problem: Knowing which tools, prompts, and steps belong together. Outcome: Follow a small set of structured workflows using reusable prompts. Evidence: Repeated workflow and prompt requests. Assets: Existing prompts and workflow diagrams. Product 2: Creator Prompt Library Problem: Viewers request the exact prompts used in videos. Strength: Strong direct request signal. Weakness: May be perceived as information that could be provided free. Product 3: Beginner AI Tool Decision Guide Problem: Users ask which tools are worth using. Strength: Repeated questions. Weakness: Information may become outdated quickly. 5. VALIDATION SCORECARD Product | Problem Evidence | Request Frequency | Buyer Specificity | Outcome Clarity | Creator Fit | Asset Leverage | Speed to Validate | Build Ease | Support Ease | Differentiation | Total AI Workflow Starter Toolkit | 9 | 9 | 8 | 9 | 10 | 10 | 9 | 9 | 9 | 8 | 90 Prompt Library | 9 | 9 | 8 | 8 | 10 | 10 | 10 | 10 | 10 | 6 | 90 Beginner Tool Guide | 8 | 8 | 8 | 8 | 9 | 8 | 9 | 8 | 9 | 6 | 81 6. PRIORITY DECISION Primary candidate: AI Workflow Starter Toolkit Why: It combines two strong audience signals—workflow interest and prompt requests—into one product with a clearer practical outcome than a standalone prompt library. Secondary candidate: Prompt Library Why: It is extremely easy to test but may have weaker differentiation. Not now: Large AI course Why: No evidence currently justifies the additional production effort. 7. MINIMUM VIABLE PRODUCT Working name: AI Workflow Starter Toolkit Buyer: AI beginners who want practical workflows. Problem: Knowing how to combine tools and prompts into repeatable tasks. Outcome: Follow selected AI workflows using a clear diagram and reusable prompts. Included: - 5 workflow diagrams - associated prompts - short setup notes - links to related existing tutorials Excluded: - full video course - community - live coaching - large prompt library Format: PDF plus editable prompt document. Assets reused: Existing diagrams, prompts, tutorial content. New work: Organisation, formatting, short instructions. Main assumption: People value organised implementation material enough to pay rather than relying only on free videos. 8. PRODUCT POSITIONING One-sentence positioning: A practical starter toolkit that turns selected AI tutorials into reusable workflows and prompts. Who it is for: People who want implementation help rather than more AI news. Why this format: The creator already has the required source material. Main benefit: Makes existing workflows easier to follow and reuse. Claims to avoid: Productivity gains that have not been measured. 9. VALIDATION EXPERIMENT CARD Hypothesis: People who repeatedly request prompts and workflows will show meaningful intent toward an organised paid toolkit. Test: Create a simple preview page showing one workflow and the planned contents of the toolkit. Audience: Relevant YouTube viewers and email subscribers. Channel: YouTube description/community content and email. Required assets: Mock-up, sample workflow, short offer description, interest or early-access form. Primary signal: Meaningful opt-ins or paid early-access behaviour. Secondary signal: Direct questions about availability, contents, and format. Does not count as proof: Views, likes, or positive comments alone. Continue when: People take a meaningful action indicating interest in obtaining the complete resource. Revise when: Interest exists but users repeatedly request a different scope or format. Stop when: The relevant audience repeatedly encounters the offer but shows little meaningful intent. 10. PRICE TEST DIRECTION Pricing approach: Low-friction one-time product. Possible testing options: Test a compact starter version against a larger bundle. What should influence price: Depth, usability, number of workflows, uniqueness, and audience response. What evidence is missing: Actual willingness to pay. 11. OBJECTION CHECK Possible objection: “I can get prompts for free.” Response: Emphasise organisation, workflow context, and reusable structure rather than prompt quantity. Possible objection: “This will become outdated.” Response: Focus on durable workflow principles and clearly identify tool-dependent elements. Possible objection: “I already know these tools.” Response: Position for users seeking complete workflows rather than tool introductions. 12. 14-DAY VALIDATION SPRINT Days 1–3 Goal: Define the smallest toolkit. Actions: Select five existing workflows and group repeated audience questions. Days 4–6 Goal: Create the test assets. Actions: Prepare one sample workflow, product outline, and simple landing page. Days 7–10 Goal: Expose the hypothesis. Actions: Show the preview to relevant YouTube and email audiences. Days 11–14 Goal: Evaluate evidence. Actions: Review meaningful actions, questions, objections, and format preferences. Final decision: Continue, narrow, reposition, or deprioritise. 13. EVIDENCE GAPS - No purchase data. - No direct willingness-to-pay evidence. - Unknown preference between prompts alone and complete workflows. - Unknown preferred product size. 14. NEXT MOVE Strong validation: Build the smallest complete toolkit. Mixed: Reduce scope or reposition around the strongest requested workflow. Weak: Do not expand into a larger course or library.
GPT

Digital Product Demand Validator

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GPT-5.6
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Turn audience questions, content signals, expertise, and existing assets into evidence-based digital product experiments. Generates product hypotheses, scores demand evidence and build effort, selects the strongest candidate, defines a minimum viable product, creates a low-cost validation test, identifies missing evidence, and provides clear continue, revise, or stop decision rules before you build too much.
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