Gains:
- Ability to understand legal limits in startups such as data privacy (KVKK), copyright, confidentiality agreement and ownership of artificial intelligence output
- Ability to establish ethical principles (integrity, transparency, data protection) and a constituent governance checklist in the use of artificial intelligence
- Being able to put it into a framework that artificial intelligence output does not replace legal and financial decisions, and the final responsibility always remains with the founder.
Module Exam
1. A founder puts the 'market size of 5 billion dollars' figure produced by artificial intelligence directly on the pitch deck without connecting it to any source. What is the fundamental mistake in this approach?
- A) Only consultancy firms can calculate market size
- B) Presenting the artificial intelligence output without connecting it to the primary source and verifying it; Ignoring that the number may be fake or old ✔
- C) Market size should not be on the pitch deck at all.
- D) The number is not given in lira instead of dollars
Explanation: AI can fluently make up numbers like market size (hallucinate) or rely on old data. Every figure presented to the investor must be verifiable from the primary source; unverified output is as risky as an untested assumption.
2. What does the distinction between 'vitamin or painkiller' mean in entrepreneurship?
- A) Whether the product is physical or digital
- B) Whether the product will be sold cheap or expensive
- C) Whether the product solves real and immediate pain (pain relief) or a pleasant but dispensable cure (vitamin) ✔
- D) Whether the product will be sold to individual or corporate customers
Description: Pain relief solves a real and immediate pain of the client; Otherwise, the business will not work, so the willingness to pay is high. Vitamins are a pleasant but dispensable improvement. The startup's chances of success are directly related to solving a real pain.
3. What is the biggest pitfall when synthesizing customer conversations with artificial intelligence?
- A) Mistaking courtesy and approval sentences as real demand signals and overlooking sampling bias and the difference between what is said and what is done ✔
- B) Separating the interview notes into themes
- C) Anonymizing conversations
- D) Recording the number of meetings
Explanation: Customers may politely say 'great idea'; This is not a signal. Artificial intelligence can summarize these confirmation sentences as if they were real needs. The founder must distinguish between what is said and what is done (behavior, willingness to pay).
4. What is the most critical verification step when using artificial intelligence in competitive analysis?
- A) Putting the competitor list in alphabetical order
- B) Ensuring that the number of competitors is at least ten
- C) Having the analysis done only in English
- D) Confirming every competitor information (price, features, assets) from the primary source, because artificial intelligence may provide outdated or fabricated information ✔
Description: The training data of artificial intelligence is cut off at a certain date; may provide outdated or fabricated information about the current price, features or existence of competitors. Every competitor claim should be confirmed from a primary source, such as the competitor's own website.
5. What is the correct attitude of the founder after filling the Business Model Canvas with artificial intelligence?
- A) Considering the canvas as a proven plan and moving directly to implementation
- B) Seeing the canvas as a map of hypotheses and treating each block as a hypothesis to be tested in the field ✔
- C) Presenting the canvas to the investor as the final truth
- D) Filling the canvas once and never updating it again
Explanation: What emerges when the canvas is filled is not a reality, but a map of assumptions. Each block (customer, revenue, channel) is a hypothesis that must be tested in the field; Thinking that the canvas is true means proceeding with unverified assumptions.
6. What is the main purpose of MVP (minimum viable product) development?
- A) Having more features than competitors
- B) To produce a perfect and bug-free product in the first version
- C) Testing hypotheses with the smallest product that will provide the most learning with the least effort ✔
- D) Selling at the highest possible price
Explanation: The purpose of MVP is not to make the product with the most features, but to produce the smallest product that will provide the most learning with the least effort. Over-engineering is the most expensive way to bury money and time in unsubstantiated assumptions.
7. What is the generally accepted threshold for the LTV/CAC ratio to be considered healthy in unit economics and what does it mean?
- A) Approximately 3 and above; ✔ The value gained from the customer must be several times the cost of acquiring them
- B) Exactly 1; revenue and cost should always be equal
- C) around 0.5; It is normal for costs to be higher than revenue
- D) 100 and above; Otherwise, the initiative must be closed.
Explanation: A ratio of LTV (lifetime value of a customer) to CAC (cost of acquiring a customer) roughly above 3 is considered healthy; that is, what is earned from the customer must be several times the cost of acquiring him. If the ratio is close to 1, the business model is losing money.
8. What is the most accurate approach when preparing financial projections with artificial intelligence?
- A) Presenting the single number given by artificial intelligence to the investor as definitive income
- B) Accepting the highest growth scenario as the only real scenario
- C) Hiding the assumptions and sharing only the result table
- D) Clearly list the assumptions, set up scenarios and subject financial decisions to expert approval ✔
Explanation: A projection is only as strong as the assumptions underlying it. Instead of a single 'exact' number, optimistic/realistic/pessimistic scenarios should be established, assumptions should be clearly listed, and financial decisions and figures presented to the investor should be verified by a competent expert such as a financial advisor.
9. Which behavior causes the fastest loss of investor confidence when preparing a pitch deck?
- A) Telling the history of the founders in the team slide
- B) Inflating the presentation with exaggerated figures and claims that cannot be proven ✔
- C) Representing Traction with real numbers
- D) Expressing a clear investment desire (ask)
Explanation: Experienced investors question the numbers. When unverifiable exaggerated claims (inflated market, unfounded promise of growth) are noticed, the credibility of the entire presentation collapses. An honest, verifiable and realistic narrative is always stronger.
10. When testing marketing channels, how do you know if a channel is really working?
- A) Only if the post gets a lot of likes
- B) By measuring the channel's customer acquisition cost (CAC) and the real value it brings and comparing it with other channels ✔
- C) By choosing the channel with the most followers
- D) Automatically accepting the channel used by competitors as correct
Explanation: The success of a channel is not measured by the number of views or likes, but by the acquisition cost (CAC) and the value it brings to the customer coming from that channel. Growth from an unmeasured channel is not manageable, it is just luck.
11. Which of the following is an example of a 'vanity metric'?
- A) Monthly recurring revenue (MRR)
- B) Customer retention rate
- C) Total cumulative number of signups ✔
- D) Paid conversion rate
Explanation: A vanity metric is a number that looks good but does not drive decisions and does not reflect the health of the business: total registrations, page views, etc. The real metrics are about behavior and money: active users, retention, revenue, conversion rate.
12. How to use artificial intelligence correctly against the trap of 'falling in love with your own idea', which is one of the most common causes of death for startups?
- A) By asking the AI to constantly praise the idea
- B) Using AI only to beautify text
- C) Let artificial intelligence decide and leave the responsibility to it
- D) Using artificial intelligence as a devil's advocate, generating weaknesses of the idea and counter-scenarios, and seeking the real evidence from the customer ✔
Description: The founder is inclined to defend his opinion; AI can be used as a 'devil's advocate' and sparring partner to generate weaknesses, risks and counter-scenarios of the idea. But the ultimate proof is the behavior of the real customer, not the AI.
13. What is the best approach when entering information about your startup into a publicly available artificial intelligence tool?
- A) Anonymizing customer personal data and confidential secrets and choosing a corporate, contracted tool for sensitive information ✔
- B) Pasting the entire raw customer list and confidential patent draft as is for speed
- C) Just hide the company name and leave customer emails
- D) Considering that only a verbal warning is sufficient before entering data
Explanation: Sensitive information such as customer personal data, unpatented technical secrets, negotiated contract terms should not be entered into publicly available tools; Identity information should be anonymized and, if possible, corporate data processing contracted tools should be preferred.
14. Which of the following expresses the correct limit of the use of artificial intelligence in entrepreneurship?
- A) Artificial intelligence can make all strategic and financial decisions instead of the founder
- B) Artificial intelligence can only be used in writing code, not in business decisions at all
- C) Artificial intelligence is an assistant and decision support tool; Responsibility for critical decisions belongs to the founder, legal/financial approval belongs to the expert ✔
- D) AI output can replace real customer testing
Description: Artificial intelligence is an assistant, draft generator, research accelerator and sparring partner. Responsibility and final approval for decisions such as which market to enter, which product to produce, and what figure to give to investors remain with the founder; Legal and financial critical outputs require competent expert approval.