Entrepreneurship: Vocabulary Set

Entrepreneurship: Vocabulary Set

Learn course language through meaning, representation, example, near-miss, and connection instead of definition-only memorization. Uses customer discovery, experiments, business models, finance, operations, and ethics to test ventures. Course titles, local sequences, grading, safety rules, required tools, and assessment formats vary; align this resource with the current syllabus and instructor directions.

Learning outcomes

• Explain and apply problem and customer discovery, then connect it to value propositions using course-appropriate evidence.
• Explain and apply value propositions, then connect it to business models using course-appropriate evidence.
• Explain and apply business models, then connect it to unit economics using course-appropriate evidence.
• Explain and apply unit economics, then connect it to experimentation and operations using course-appropriate evidence.
• Explain and apply experimentation and operations, then connect it to problem and customer discovery using course-appropriate evidence.

Prerequisite readiness

communication, basic accounting and finance, research methods, spreadsheets, and comfort with uncertainty Use a short ungraded check, repair the smallest missing skill, and immediately retest it in a course-level task.

Core vocabulary network

• problem and customer discovery: define in course language, illustrate, contrast with value propositions, and use in a claim supported by evidence.
• value propositions: define in course language, illustrate, contrast with business models, and use in a claim supported by evidence.
• business models: define in course language, illustrate, contrast with unit economics, and use in a claim supported by evidence.
• unit economics: define in course language, illustrate, contrast with experimentation and operations, and use in a claim supported by evidence.
• experimentation and operations: define in course language, illustrate, contrast with problem and customer discovery, and use in a claim supported by evidence.

Retrieval check

Sort examples and near-misses without labels, then explain the decisive feature before checking notes.

Reliable method

state a falsifiable assumption, interview or test ethically, measure behavior, update the model, and preserve financial realism Keep assumptions, intermediate reasoning, units, sources, tool use, and checks visible so another learner can follow the decision process.

Representative application

Test whether a defined customer problem is urgent before building a product, then document disconfirming evidence. Predict a reasonable result before working, compare the outcome with the prediction, and explain limitations or alternative interpretations.

Error recovery

Watch for treating enthusiasm, survey compliments, or a pitch as proof of demand and sustainable economics. Mark the first unsupported move, classify the cause, correct the reasoning, and schedule a fresh mixed recheck after a delay.

Accessibility, integrity, and safety

Use approved accommodations and accessible formats. Follow course rules for collaboration, citation, calculators, software, generative tools, laboratories, clinical settings, field activity, privacy, copyright, and human or animal subjects. Never use Exams.fit to obtain protected questions or bypass assessment rules.

Evidence to save

When permitted, preserve an evidence log with hypotheses, tests, results, business model, unit economics, and next decision with the prompt, first attempt, feedback, revision, verification, and reflection. Remove restricted assessment content and private or proprietary information.

Open-learning reference

Compare this original Exams.fit resource with the relevant OpenStax collection and MIT OpenCourseWare when they match the local course. Reviewed August 2, 2026. This page does not replace the current syllabus, instructor, institution, or qualified professional.