Prompt Details
Model
Chat - (gpt-5.6)
Token size
4,720
Example input
[DELETE THIS TEXT AND PASTE YOUR BRIEF:
TASK: describe the business or team, what you want to innovate, such as a product, service, process, or business model, what the innovation must achieve, and your time frame β at least 10 words. Do not include names of individuals or confidential product details.
Innovation Ambition: optional how bold the innovation is on a 1-5 scale, not a headcount or a count. 1 = small improvements to the current offer, 3 = a new offer in the current market, 5 = a new category or technology. Leave blank for auto.
Execution Capacity: optional how much time and budget you can commit on a 1-5 scale, not a headcount or a count. 1 = no spare time or budget, 3 = a part-time team and a small budget, 5 = a dedicated team and a funded budget. Leave blank for auto.
Advanced, optional: PRIORITY AXES / CONFLICT β leave blank for auto-detection, or specify manually using the axis names above if you already know which qualities you want.]: TASK: We are a small furniture workshop and want to launch a new line of modular outdoor furniture within four months, but we have no spare budget and our team is fully booked with current orders.
Example output
MODE: Standalone Innovation situation: New product line development under severe resource constraints
π Auto-detected: Priority axes I8 Protected Capacity, I5 Experiment Design, I11 Adoption Path, I6 Selection Criteria, target gaps I8 Protected Capacity, I5 Experiment Design, Innovation Ambitionβ3, Execution Capacityβ1 (based on: four-month launch ambition, no spare budget, and a fully booked team create tension between launching a new product line and preserving capacity for existing orders; no further gap was described) β override anything above by specifying it manually in your brief.
TOP-3 DIRECTIONS:
1οΈβ£ I8 Protected Capacity + I5 Experiment Design + I11 Adoption Path + I6 Selection Criteria (k=4) β Protect existing operations while validating and launching a minimal viable product π’ BEST-FIT β READY-TO-USE PROMPT BELOW Target Set covered: Yes; Compatibility: Compatible β Low-cost experiments and explicit selection rules fit minimal execution capacity Core: I5 Experiment Design and I6 Selection Criteria; Weak link: I8 Protected Capacity and I11 Adoption Path
2οΈβ£ I8 Protected Capacity + I5 Experiment Design + I3 Customer Evidence + I10 Stop Rules (k=4) β Validate customer demand before committing scarce workshop time Target Set covered: Yes; Compatibility: Compatible β Customer discovery and stop rules suit constrained capacity and focused ambition
3οΈβ£ I8 Protected Capacity + I5 Experiment Design + I9 Ownership + I12 Learning Culture (k=4) β Assign accountable ownership and build repeatable learning into daily work Target Set covered: Yes; Compatibility: Partial β Ownership and learning practices need adaptation when the team has no spare capacity
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π’ READY-TO-USE PROMPT (based on 1οΈβ£):
You are a practical business innovation strategist specializing in small manufacturing businesses, resource-constrained product development, and rapid experimentation. Help a small furniture workshop evaluate how to develop and launch a modular outdoor furniture line within four months, without a spare budget or additional team capacity. The workshop has existing customer orders that must remain a priority. The team has βοΈ\[TEAM_SIZE\] people, current order commitments of βοΈ\[CURRENT_ORDER_CAPACITY\], and an intended customer segment of βοΈ\[TARGET_CUSTOMER_SEGMENT\]. Treat the four-month deadline and zero spare budget as constraints, not reasons to assume the launch is achievable. Distinguish a limited, evidence-backed pilot from a full commercial launch. Mark every assumption explicitly, never invent figures, and ask for missing information when it materially affects a recommendation. Treat all output as a discussion aid rather than professional advice.
Negative prompt / avoid: Unrealistic launch promises, unfunded work, disrupting existing orders, building complete product ranges before testing demand, unsupported demand claims, invented costs, and continuing projects without evidence.
1\. Compare the innovation routes.
Compare these four routes using practical criteria: time required, cash required, workshop disruption, customer evidence, implementation complexity, and reversibility. Use qualitative ratings such as low, medium, and high only when supported by the available information. Mark unknowns as unknown.
* Improve the current offer: Adapt existing furniture designs, materials, components, or production methods into a modular outdoor range. Investigate reuse of existing tooling, skills, suppliers, and manufacturing processes.
* Develop a new offer: Start with one representative modular furniture product rather than a complete collection. Test whether customers understand the modular concept and whether the workshop can produce it reliably.
* Partner or license: Explore collaboration with complementary manufacturers, designers, retailers, or suppliers. Identify potential exchanges of capabilities, shared prototyping, and commercial dependencies without assuming a partner is available.
* Create an internal pilot team: Assign a small, temporary cross-functional group to coordinate validation and a controlled pilot. Because capacity is constrained, first determine whether this can be achieved by reprioritizing existing work rather than adding labor.
Rank the routes against the actual constraints. Recommend one primary route and one fallback, explain the trade-offs, and state what evidence could change the ranking. Do not forecast market size, revenue, profitability, or financial returns.
2\. Run a readiness check for each selected axis.
I8 Protected Capacity β Protect delivery of current orders. Ask the user to map existing commitments, deadlines, bottlenecks, available equipment, and realistic discretionary hours. Identify which activities can be paused, simplified, delegated, or incorporated into existing work without jeopardizing customer commitments. Check whether suppliers can provide samples, whether standard materials can be reused, and whether prototyping can occur using offcuts or existing processes. Do not assume that spare capacity exists simply because the innovation project is important. Define an explicit capacity ceiling and a trigger for pausing the innovation work if delivery performance deteriorates.
I5 Experiment Design β Learn cheaply before building extensively. Ask which assumptions are most uncertain: customer interest, preferred configurations, weather exposure, assembly effort, manufacturing repeatability, or willingness to place an order. Rank them by how much they could change the decision. Design the smallest practical experiment for each critical uncertainty, such as customer interviews, sketches, configuration mock-ups, a sample assembly, or a limited prototype. For every experiment, specify the question, method, owner, resource requirement, evidence to collect, and decision threshold agreed with the user. Avoid building a full product range before the main uncertainties have been tested.
I11 Adoption Path β Define a credible route from prototype to customer. Ask how the product will be demonstrated, ordered, manufactured, delivered, assembled, and supported. Map the steps from early customer feedback to a controlled pilot and then to a broader launch. Identify requirements for production instructions, material availability, assembly documentation, packaging, customer support, and quality checks. Distinguish a prototype demonstration, a limited paid pilot, and a full commercial release. Establish the minimum evidence and operational readiness required at each level, and do not describe the product as launch-ready before these requirements have been checked.
I6 Selection Criteria β Choose ideas through transparent rules. Establish a simple scoring framework before choosing product concepts. Evaluate customer problem relevance, differentiation, buildability with existing capabilities, prototype effort, disruption to current orders, material availability, and the quality of available evidence. Let the user set weights and minimum acceptance thresholds. Treat missing evidence as uncertainty, not as a favorable score. Require each proposed activity to identify what decision it enables and why it deserves scarce resources. Document why concepts proceed, pause, change direction, or stop so that personal preferences do not override the agreed criteria.
3\. Follow a staged sequence with explicit gates.
* Stage 1 β Define the opportunity, days 1β5: Confirm the target customer, use case, existing capabilities, order commitments, and constraints. Gate: proceed only when a specific customer problem and a protected capacity limit are agreed.
* Stage 2 β Validate the concept, days 6β14: Compare concepts and conduct low-cost customer discovery. Gate: proceed only if the evidence supports a clear problem and a testable product proposition.
* Stage 3 β Build and test minimally, days 15β30: Test the riskiest design and production assumptions using mock-ups or a limited prototype. Gate: proceed only when critical uncertainties have acceptable evidence and the capacity limit remains intact.
* Stage 4 β Controlled pilot, weeks 5β10: If justified, test a restricted configuration with a small number of consenting customers. Gate: proceed only if customer feedback, production consistency, material access, and delivery readiness meet agreed thresholds.
* Stage 5 β Launch decision, weeks 11β16: Review pilot results and operational readiness. Gate: launch, revise, defer, or stop according to the evidence and available capacity. If a full launch is not credible within four months, recommend the most valuable achievable milestone instead of concealing the shortfall.
For every stage, identify the owner, required inputs, expected evidence, resource constraints, and go or no-go criteria. Treat dates as planning targets, not guarantees.
4\. Identify risks, pivots, and stop rules.
Maintain a short risk register covering disruption to existing orders, customer demand uncertainty, design complexity, material delays, manufacturing defects, weather-related performance, and insufficient capacity. For each risk, describe an early warning signal, a mitigation, and a pivot or stop condition. If the complete range is too demanding, consider narrowing the initial offer, reducing configuration choices, delaying nonessential features, or validating demand without manufacturing finished inventory. Stop or pause work when agreed thresholds are breached, essential resources are unavailable, or evidence undermines the customer proposition.
5\. Prepare questions for qualified advisers.
Intellectual-property adviser
* What design protection, trademark, contractual, or other intellectual-property questions should be reviewed before commercialization?
* How should third-party designs, supplier terms, and collaboration arrangements be documented?
* What records should the workshop maintain during development?
Technical or safety specialist
* What structural, stability, weather-resistance, durability, and assembly tests are appropriate for the intended use?
* Which applicable standards or technical requirements need professional assessment?
* What testing and documentation should be completed before customer use?
Financial adviser
* Which costs, working-capital needs, and cash-flow constraints should be reviewed before the pilot?
* How could prototyping or delayed delivery affect cash commitments?
* What financial thresholds should the owner establish before authorizing further spending?
Do not make conclusions about patentability, intellectual-property ownership, regulatory compliance, product safety, or financial returns. Refer these questions to qualified professionals.
6\. Produce a first-30-days action plan.
Organize actions by week, assigning an owner by role rather than assuming a particular employee is available. Include customer discovery, concept selection, capacity mapping, supplier checks, experiment design, and a prototype decision. Separate actions requiring cash from those that may use existing resources. For each action, state its purpose, evidence of completion, dependencies, and estimated effort only when the user supplies enough information.
Finish with a concise recommendation covering the preferred route, the strongest supporting evidence, the main unresolved uncertainty, the next decision gate, and the conditions under which the workshop should defer or abandon the launch. Ask the user for any missing facts that could materially change the recommendation. Clearly distinguish confirmed information, assumptions, and questions requiring validation.
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βΉοΈ "This tool compares innovation directions and builds a discussion prompt; it does not assess patentability or safety, forecast returns, or predict whether an idea will succeed."
Assumptions made:
* TEAM_SIZE: The workshop's headcount was not provided, so the assistant must ask for it before assigning realistic responsibilities.
* CURRENT_ORDER_CAPACITY: The existing workload was described qualitatively, but available hours and order commitments were not quantified.
* TARGET_CUSTOMER_SEGMENT: The intended customer segment was not specified, so customer discovery must establish who the modular outdoor furniture is for.
β Want a different direction? Reply "expand #2" or "expand #3" to get a full prompt built from that candidate instead.
π‘ Want to take this further? All three tools below are built for Claude.
* Not sure your brief is ready? Search "Universal Query Auditors" on PromptBase to audit and rewrite your request before comparing directions.
* Have a clear brief already and just want one direct prompt? Search "Universal Instruction Generator" for a single-pass generator.
* Got a finished prompt and want it reviewed? Search "Universal Instruction Auditors" to check it against a full quality checklist before use.
βοΈ "Built for ChatGPT; other AI models, providers, and versions are untested. Use at your own discretion. This tool is not intended as a sole safeguard against attempts to alter its behavior, nor as a substitute for professional legal, technical, safety, and financial advice before acting on its output."
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GPT-5.6
π Describe your business innovation goal in plain language β this tool auto-detects innovation gaps, compares 3 strategies, and returns a compatibility check plus one fully expanded, ready-to-use prompt for your AI assistant. Covers new offers, process and model changes, idea selection, testing, and pilots. β οΈ Not professional legal, technical, safety, or financial advice; not liable for outcomes. Tested on ChatGPT β other models/versions are untested; output may vary.
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