Open hyunjimoon opened 2 weeks ago
BE x PC's value proposition: start with certain assumptions (prior), social product partnership and market, we
updating business models based on market data
, learning from partnership outcomes
data-driven investor pitches
, persuading partners with mutual benefits
risk assessment training
, relationship management training
- if you're going to be have an entrepreneurial business venture, you need a crisp idea. Who's the
customer
, who's going to pay for this product, what's your thinking there?
based on below (credit: orbit): corporate innovation labs. Especially for their collaboration with startup to hedge risk
# | Title/Descriptions | Corporate Innovation Labs | Business Schools and Universities | Startup Founders and Entrepreneurial Teams |
---|---|---|---|---|
1 | End User | Innovation managers, R&D teams | Professors, students, researchers | Founders, product managers, startup teams |
2 | Task | Enhance decision-making in innovation projects | Teach and research entrepreneurial decision-making | Make informed decisions in product development, market selection, and operations |
3 | Benefit | Improved project outcomes, faster innovation cycles | Enhanced teaching and research capabilities | Better decision-making, increased chances of startup success |
4 | Urgency of Need | High - Constant need for innovation and competitive advantage | Medium - Academic cycles, but growing interest in entrepreneurship | High - Critical for startup survival and growth |
5 | Example End Users | Google X, IBM Research | MIT Sloan, Stanford GSB | Early-stage startups, Y Combinator alumni |
6 | Lead Customers | Google X, IBM Research | MIT Sloan, Stanford GSB | Y Combinator, Techstars |
7 | Willingness to Change | High - Open to new tools and methodologies | Medium - Academia can be slow to change, but open to new research tools | High - Startups are agile and open to new solutions |
8 | Frequency of Buying | Medium - Purchase tools and software periodically | Low - Budget cycles may limit frequent purchases | High - Constant need for new tools and solutions |
9 | Concentration of Buyers | Medium - Several large innovation labs | Medium - Many universities and business schools | High - Numerous startups |
10 | Other Relevant Market Considerations | High growth industry, high R&D budgets | High employee turnover, high growth in entrepreneurship programs | High growth industry, high failure rate of startups |
11 | Size of Market (# of end users) | 1K's | 10K's | 100K's |
12 | Estimated Value of End User ($1, $10, $100, $1K) | $1K | $100 | $1K |
13 | Competition / Alternatives | Traditional decision-making tools, internal R&D tools | Traditional academic tools, other research software | Traditional decision-making tools, other startup tools |
14 | Other Components Needed for a Full Solution | Integration with existing R&D tools, training and support | Integration with academic tools, training and support | Integration with existing startup tools, training and support |
15 | Important Partners | Salesforce, R&D tool providers | Salesforce, academic tool providers | Salesforce, startup tool providers |
16 | Other Relevant Personal Considerations | Alignment with corporate innovation goals, ease of use | Alignment with academic goals, ease of use | Alignment with startup goals, ease of use |
- there must be a huge amount of competition in adding AI to CRM products. So we would need a specific angle
ai based query in relational database (tech. being developed in PC lab) would be our specific angle. probabilistic representation can mitigate the variability of LLM replies which is becoming more problematic. Moreover, Matin and Joao (from PC lab) were interested in relational database querying technologies. It's my guess there are existing competitors for probabilistic reasoning for tabular data, but much less in relational data.
Title:
Improving Entrepreneurial Decision Making with Bayesian Reasoning and Intelligent Assistance Distribution channel: Salesforce app exchange platform
Pain Point:
Addresses the complex, fast-paced decision-making challenges faced by entrepreneurs in product development, market selection, and operational execution, where traditional models often fall short due to limited information and rapidly changing environments.
Value Proposition:
Technology:
Key Features:
Customers:
Use Cases: