This library serves as a resource tailored to support software startups and their teams across various stages of development and operational growth. It is designed to address core challenges by leveraging AI to accelerate decision-making, foster innovation, and enhance team efficiency. Each prompt provides a customizable template, prep work and overview, structured to align with the needs of software startups.

This prompt helps data science teams select the best models for detecting anomalies in datasets, focusing on approaches tailored to data characteristics, such as size, type, and complexity.

This prompt helps data science teams develop strategies for cleaning large datasets with a mix of missing data patterns. It focuses on identifying the nature of missingness, handling gaps appropriately, and ensuring data integrity for downstream tasks.

This prompt helps data science teams develop a plan for cleaning unstructured data, such as logs, social media posts, or raw text, for analysis. It focuses on extracting valuable information, handling inconsistencies, and preparing data for modeling.

This prompt helps marketing teams identify SEO keywords to create content clusters around specific topics or themes. It focuses on organizing keywords into primary and supporting topics to improve topical authority and search rankings.

This prompt helps data science teams select the most effective visualization techniques for analyzing the distribution of variables in a dataset. It focuses on providing clear insights into variability, central tendency, and patterns such as skewness or multimodality.

This prompt helps data science teams clean datasets collected from multiple sources by resolving inconsistencies, normalizing data formats, and addressing schema mismatches. It ensures the dataset is cohesive and ready for integration or analysis.

This prompt enables teams to analyze user feedback trends by comparing different segments, such as new users, power users, or churned customers. It provides insights into how various groups perceive the product, allowing teams to create targeted improvements and strategies.

This prompt helps teams design and conduct task-based user experience (UX) research to observe how users interact with a product or feature. It focuses on identifying pain points, improving workflows, and gathering insights into usability.

This prompt helps data science teams address imbalances in datasets, ensuring that underrepresented classes or categories are handled appropriately to improve analytical and modeling outcomes.

This prompt helps data science teams clean and preprocess time-series data to improve reliability and accuracy for analysis or machine learning. It focuses on handling missing timestamps, smoothing noise, and ensuring consistent intervals across the dataset.

This prompt helps engineering teams compare potential tech stacks for a new project by evaluating factors like compatibility, performance, scalability, and development speed. It provides a structured approach to choosing the best stack for specific needs.

This prompt helps leadership analyze market trends to assess the competitive landscape and identify areas where the organization can differentiate itself. It focuses on understanding competitors’ strengths and weaknesses in the context of emerging industry trends.