This is a moment almost every product manager or entrepreneur has experienced: A brilliant idea suddenly pops into your head while showering – it "definitely looks like it could make money"; you excitedly call a team meeting, only to have everyone arguing endlessly: some think the market is huge, others think the technology is too difficult; you want to write a business plan (BP) or create an MVP (Minimum Viable Product), but don't know where to begin validating it. The worst nightmare isn't not being able to create it, but...I worked so hard to make it, only to find that nobody uses it.Or it might be banned by the platform as soon as it goes live.
Why are your guesswork verifications always inaccurate?
In progress market researchWhen conducting market research, we often make the following 5 mistakes:
- It only verifies whether something is "good" or not, but doesn't verify "who pays for it": They were so engrossed in feature innovation that they failed to understand why users would pay for it now, and what the alternatives were.
- Competition analysis is superficial: Focusing solely on direct competitors while ignoring the fact that "Excel spreadsheets" or "users doing nothing" are the biggest competitors are misleading them.
- Customer acquisition and costs are unclear: There are only positive GMV forecasts, but no unit economics (UE) model, ignoring the fact that customer acquisition cost (CAC) may be higher than lifetime value (LTV).
- Ignoring compliance and the "life-or-death line": It failed to consider data privacy, copyright risks, or platform (such as WeChat and Apple) regulatory rules.
- Risk list too empty: It only contains empty rhetoric like "fierce market competition," without any specific triggering conditions or Plan B.
Personal safety net process: Turning "intuition" into "logic"“
Before using AI, you need to "structure" your ideas. This process can help you quickly clarify your thinking:
- One-sentence definition: Define “specific target audience – specific scenario – core pain point – your value proposition”.
- Identify your opponent: List three types of competitors (direct competitors, indirect competitors, and alternatives) and identify your "irreplaceability".
- AI Parallel Output (Core Steps): Use AI to generate market hypotheses, business model canvases, and compliance risk warnings in batches.
- Summarized into one page: Extract the key assumptions and conduct verification experiments.
- Set a two-week rhythm: Define clear "pass/fail" criteria as the stop-loss line for exiting the market.
DiffMind Practical application: Multi-view simultaneous review, eliminating blind spots
DiffMind is not just a simple question-and-answer tool; it's a platform that allows multiple "virtual experts" to sit around you simultaneously. AI business analysis(AI Business Analytics) Platform. Here's how to use it for comprehensive evaluation:
1. Multi-view simultaneous review, quickly covering blind spots.
You can input your business ideas into DiffMind, and then simultaneously activate models such as GPT-4o, Claude 3.5, and Gemini Pro, assigning them different roles:
- Model A (Investor's Perspective): “"Please provide a sharp critique of this idea from the perspectives of financial returns and market size." feasibility analysis。”
- Model B (Product Manager's Perspective): “"Please break down the core functional boundaries of the MVP and remove all unnecessary functions."”
- Model C (Legal Risk Control Perspective): “"Please list the data compliance, platform policy, and legal risks that this model may face."” result: On the same screen, you see both the market's potential and the legal boundaries. This comprehensive scan can quickly fill in any unexpected variables.
2. Use comparison to improve quality judgment
AI can also be biased or exhibit illusions. Through Compare AI outputs(Compared to AI output), you can make the disagreements explicit.
- If Model A suggests "customer acquisition is easy," while Model B indicates "competition in this channel is already fierce, and CAC is extremely high," then this...Points of conflictThese are the key assumptions that you need to verify offline.
- DiffMind helps you distinguish between "consensus conclusions" (which can be directly believed) and "highly controversial hypotheses" (which must be tested experimentally).
3. Integrate distributed outputs into executable material.
Don't let information linger in the dialog box. Using DiffMind, you can extract the key insights from multiple models and quickly organize them into:
- BP skeleton: A business plan structure that integrates multiple perspectives.
- Verification checklist: Action guidelines sorted by priority.
- Risk Contingency Plan: For the risk points identified by the model, specific response strategies are generated.
Self-Help Checklist: The Final Hurdle in Deciding "To Do or Not to Do"
Before investing your first sum of money or code, please conduct a self-check against the checklist generated by DiffMind:
- Target usersIs it specific enough to be directly accessible through a certain channel?
- Motivation to payIs the impact strong? Is the cost of switching users to your product manageable?
- MVP Is it small enough? Can the key assumptions be verified without developing a full app?
- Customer acquisition pathIs it clear? (At least two alternative channels have been prepared.)
- Risk ListFor each item in the list, are there clear triggering conditions and corresponding actions?
- Has it been set?Within two weeksWhat are some low-cost validation experiments that can be conducted (e.g., questionnaires, pre-sales, landing pages)?
Conclusion
The essence of business validation is not to prove you are right, but to...Discover you're wrong at the lowest costDon't let an unexamined idea consume your time and money. Leverage DiffMind's multi-model simultaneous display capability to give your business ideas a comprehensive "check-up" now, ensuring decisions are based on data and logic, not just passion.
