Тренировка логики приоритизации требований продакт-менеджеров

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Тренировка разума

Тренировка приоритизации для продакт-менеджеров

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Тренировка разума

Тренирует логическое мышление продакт-менеджеров при множестве одновременных требований на симулированном кейсе, помогает выстроить критерии оценки и повысить эффективность решений.

Содержание промпта

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In an iteration scenario for an internet To C product, 12 optimization requirements from users, operation and the CEO are received at the same time. Analyze the priority of each requirement one by one based on user coverage, business value and development cost, give the final ranking, and explain the judgment basis for each ranking to help learners master requirement prioritization thinking in actual work.

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В сценарии итерации интернет-продукта для конечных пользователей одновременно поступило 12 запросов на оптимизацию функций от пользователей, операционной команды и генерального директора. Проанализируйте приоритет каждого запроса по одному на основе охвата пользователей, бизнес-ценности и стоимости разработки, предоставьте итоговую ранжировку и объясните основу суждения для каждого ранга, чтобы помочь учащимся освоить мышление приоритизации требований в реальной работе.

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Рекомендация

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Analyze the monthly sales records from the past two years, including seasonal promotional factors and market trends, to identify key variables affecting sales volume. Construct a forecasting model to estimate next quarter's revenue, while highlighting potential risk factors and providing optimization suggestions.

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Предупреждение о финансовых рисках

Act as a senior financial analyst to review bank statements and accounts receivable records from the past twelve months, focusing on invoices outstanding for more than thirty days and non-standard large cash expenditures. By comparing industry benchmark ratios, assess the current liquidity health and point out potential liquidity crisis signals, ultimately outputting a concise summary containing specific risk points, affected amounts, and preliminary response suggestions, ensuring the language is objective and well-supported by data.

Оптимизация прогнозирования продаж

Analyze the sales records from the past twelve months, identify seasonal fluctuations and outliers, and generate a sales forecast for the next quarter based on current market trends, while highlighting key risk factors.

Прогнозирование продаж

Act as a senior data analyst and, based on the provided sales records from the past twelve months, seasonal factors, and market promotional activities, construct a linear regression model to predict next quarter's product sales. You need to identify key drivers, assess the error margin, and output forecast results including confidence intervals, so that business departments can make more reasonable inventory procurement plans.

Обнаружитель финансовых аномалий

Act as a financial audit expert and analyze the provided monthly transaction logs, focusing on large off-hours transfers, frequent small test transactions, and frequent changes in payee accounts. Describe these potential risk points in natural, fluent language, explaining why such behaviors might indicate fraud or operational errors, and suggest key areas for subsequent manual verification. Avoid rigid lists or imperative tones, ensuring the output is easily understandable for non-technical stakeholders.