Articles

Discover how SFT, DPO, and RFT fine-tuning methods align AI models with safety, compliance, and performance goals.

AI red teaming explained. Purpose, ethics, governance, and how teams use it to deploy safer, compliant AI.

In 2025, synthetic data fills gaps real data can’t. Learn how to generate, govern, and combine synthetic data wisely for scalable, accurate ML.

AI-assisted data labeling is now the 2025 standard. Learn how automation and human review cut costs, improve quality, and future-proof your AI workflows.

Supervised fine-tuning refines pretrained LLMs with labeled data, making them accurate, reliable, and domain-specific.

Supervised fine-tuning refines pretrained LLMs with labeled data, making them accurate, reliable, and domain-specific.

Red teaming tests LLMs with adversarial prompts to uncover risks, reduce bias, and build safer generative AI.

Model evaluation measures how well AI models perform. It is essential for ensuring accuracy, fairness, trust, and continuous improvement in machine learning.

Data annotation powers AI by turning raw data into training datasets. See why accurate labeling is essential for building reliable machine learning systems.

A clear way to when AI models can rely on synthetic data and when human feedback remains essential for alignment, safety, and frontier performance.

A clear comparison between fine-tuning and RLHF to help ML and product teams choose the right LLM training strategy based on goals, cost, and data needs.

Labeled data is still the foundation of cutting-edge AI-from model training to RLHF and safety checks. Here’s why it matters more than ever.

Discover how high-quality labels boost accuracy, safety, and speed in ML, and the tactics teams use to keep quality high at scale.

Discover essential fine-tuning methods for large language models to customize AI performance for specific tasks and industries.

See how real user input shapes better AI-improving trust, relevance, and business results. Get insights on building smarter, people-focused models.

Reinforcement learning from human feedback (RLHF) trains AI models to align with human values through supervised fine‑tuning, reward modeling, and policy optimization.

Reinforcement Learning from Human Feedback (RLHF) improves AI by using human input to fine‑tune models, making outputs safer, accurate, and aligned with user needs.

Recruiting the wrong participants ruins your research. Find better research participants with these 8 recruitment methods!

Participants often give polite feedback instead of honest criticism during usability tests. Discover why this happens and how to get truthful insights.

Find out what it takes to build a strong research participant pipeline, without wasting time, money, or data quality.

Discover why product teams struggle with usability testing and how simple planning mistakes can derail entire product launches.

Product research helps you build the right thing by validating ideas, understanding users, and guiding decisions across the product lifecycle.

Research demand, competition, users, and feasibility to build a product that solves real problems, meets market needs, and succeeds at launch.

Discover how user research drives product success through understanding real user needs, behaviors, and motivations—leading to informed design decisions that truly resonate with your audience.

Consumer behavior is evolving rapidly in 2025. Explore key trends like hyper-personalization, ethical purchasing, and omnichannel integration.

Explore the future of market research in 2025 with innovative solutions to overcome modern challenges. Learn how self-serve platforms, AI-powered tools, and advanced data quality methods are transforming research strategies.

Market research is crucial for making informed decisions, understanding customers, and staying ahead of trends. Learn how it drives business success in 2025

Protect your research from fraud. Explore strategies to detect, prevent, and manage online survey fraud in market research.

Validate your business idea before you build. Learn how market validation helps entrepreneurs confirm real demand and avoid costly product failures.

Learn the difference between generative and evaluative research—and how to use both to build user-centered, high-impact products.

Learn what customer personas are in market research and how they help you understand your audience, tailor messaging, and improve marketing outcomes.

Turn sticky notes into strategy. Learn how affinity mapping helps UX teams synthesize research and make better product decisions.

Gestalt psychology explains how consumers perceive brands, ads, and products. Learn how its principles shape market research, UX, and consumer behavior.

Customer satisfaction isn't just a metric—it's a powerful driver of business success, and market research helps measure, understand, and improve it.

Discover essential UX metrics to measure user experience effectively. Learn how to track usability, engagement, and retention to enhance your design strategy.

Find the right expert network to gain real-time industry insights and specialized expertise. Compare models, pricing, and vetting processes.

Discover how expert networks provide real-time, industry-specific insights that traditional research methods lack. Stay ahead with faster, data-driven decisions.

Expert networks connect them with industry specialists, enabling smarter decisions and strategic growth.

Expert networks are transforming product development by providing on-demand industry insights, helping businesses validate ideas, reduce risks, and accelerate innovation.

Expert networks are evolving from manual, relationship-driven models to AI-powered digital platforms, transforming how businesses access insights.

Expert networks are transforming how businesses access specialized knowledge—leveraging AI, real-time insights, and flexible consulting to drive faster, smarter, and data-driven decisions.

Learn how expert networks connect businesses with specialized knowledge to make better decisions.

Discover how market research makes customer journey mapping more accurate, helping businesses uncover insights and improve experiences.

This article breaks down how to create research-backed customer personas using real data to improve marketing, product decisions, and strategy.

Research Ops makes user research easier by managing participants, organizing data, and improving processes.

Transform product decisions with user research: Choose the right method!

Transform market research with AI: discover tools and strategies to reduce bias, save time, and improve insights.

From selection to accessibility bias, discover the 5 key types of bias that can compromise your user research quality.

From entry-level roles to senior positions, discover the essential skills, tools, and strategies needed to become a market research expert.

Learn step-by-step usability testing strategies to enhance product performance and user satisfaction.

Walkthrough for product managers to select and implement effective user research methods.

Virtual reality (VR) technology has the potential to transform how firms perform market research

The market research industry has grown over the last five years, but global economic conditions could challenge corporate profit margins

The post-pandemic world is still recovering from all the global meltdowns it faced with an apprehension of the possible future setbacks

Master the art of research data visualization with this guide, offering practical tips and chart options to make your insights clear, engaging, and impactful.

From user-experience surveys on websites to polls to political polls to health questionnaires at the doctor's office, surveys are some of the most common research tools

A comprehensive framework for developing and implementing an effective IT strategy aligned with business goals.

Identifying your ideal customer profile is crucial for business success and can be done through market research, analysis, and creating detailed buyer personas.

AI-powered marketing and sales strategies, such as personalization, predictive analytics, and customer segmentation, can help businesses reach new heights.

Generative Adversarial Networks (GANs) are transforming market research by enabling realistic data generation, concept testing, and consumer behavior simulation.

Key trends in the US fintech market include artificial intelligence, banking as a service, Internet of Things, buy now pay later, embedded finance, and biometrics.

AI can improve survey design through smarter sampling, dynamic questioning, natural language processing, personalization, and real-time data analysis.

Meta and Twitter offer different features and audiences for social media market research, and businesses can utilize them to understand consumer preferences and behaviors.

Leveraging customer reviews for market research provides valuable insights into customer needs, product development opportunities, and areas for improvement.

The US healthtech market is rapidly evolving with trends like AI, autonomous patient monitoring, telemedicine, Internet of Medical Things, and immersive technologies.

Setting benchmarks helps companies identify trends, optimize performance, and make data-driven decisions to achieve growth and profitability.

Virtual reality in market research enables realistic simulations, immersive experiences, and deeper consumer insights for product development and marketing strategies.

Buyer personas are crucial for understanding target customers, tailoring marketing efforts, and developing effective products and services.

A thorough grasp of consumers and their constantly shifting tastes is necessary to stay ahead of the competition in today's quickly changing market

Buyer personas help understand target customers, customize marketing efforts, and develop effective products and services.

Empathy in market research helps businesses understand customer needs, develop targeted solutions, and build strong relationships.

Roadblocks to adopting generative AI in market research include data quality, ethical considerations, robustness limitations, computational requirements, and interpretability challenges.

Case studies demonstrate how brands like Nike, Netflix, Ford, McDonald's, and Coca-Cola successfully utilize market research to understand customers and drive growth.

User journey mapping focuses on the overall customer experience while user flow deals with specific interactions; integrating both provides a comprehensive understanding.

Improving customer feedback through survey panels requires choosing the right provider, optimizing survey design, and encouraging participation.

Generative AI can promote a human-centered approach in market research by analyzing data, segmenting customers, predicting trends, and automating insights.

Formulating research problems involves identifying a knowledge gap, refining the focus, setting objectives, and developing questions to guide the research process.

Generative research is a qualitative approach that uncovers deep insights, inspires innovation, and informs product development by understanding user needs and behaviors.

As a digital product manager, effective market research involves identifying opportunities, developing strategies, collecting and analyzing data, and taking action based on insights.

Conducting a marketing analysis involves analyzing the target market, product, pricing, sales, advertising, distribution channels, and promotions.

Market analysis is a thorough assessment of a business's target market variables to obtain insights for introducing new products or redesigning existing ones.

Many businesses are familiar with the concept of market sizing but not all are capable of incorporating it effectively

Market sizing involves evaluating the potential number of customers and revenue within a given market using top-down, bottom-up, and other techniques.

According to a study by Statista, the blockchain market is currently valued at USD 23 billion

Market research is considered the basic backbone and one of the essential verticals for any brand to dive into before launching any new product

A comprehensive overview of AI applications across major industries (healthcare, automotive, finance, manufacturing), future use cases, and leading AI companies, highlighting how AI is revolutionizing business operations and projected to boost the world economy by $15.7 trillion by 2030.

A strategic guide that outlines how market research helps businesses identify unknowns through four key areas: industry characteristics, market potential, competitive landscape, and participant perceptions to drive informed decision-making and growth.

A comprehensive guide on combining customer journey mapping with market research to improve customer experience, featuring case studies from Starbucks and Amazon, and practical steps for businesses to implement this integrated approach.

A comprehensive eight-step guide for conducting Voice of Market (VOM) studies, from setting research objectives to implementing findings, designed to help companies gather qualitative insights for strategic decision-making.

A comprehensive comparison of primary and secondary data sources in market research, discussing common mistakes to avoid and best practices for data collection and analysis.

A strategic guide on how market research can enhance branding efforts by providing insights into consumer behavior, competition analysis, and market positioning.

A detailed overview of B2B market research methodologies, benefits, and practical tips for implementing effective research strategies in the business-to-business sector.

Essential guidelines for researchers on protecting participant data, maintaining privacy, and implementing security measures in research studies.

A practical guide for researchers on optimizing survey design and execution when working with panel providers, including best practices for participant engagement and data quality.

Protecting research participants' data involves informed consent, data encryption, regular monitoring, employee training, and compliance with industry standards.

The gig economy is changing the workforce by providing flexibility, mutual benefits for workers and employers, and opportunities for freelancers, enabled by technology

Creating an effective user research plan involves defining goals, identifying the target audience, choosing methods, developing a timeline, and incorporating findings into product development.

Finding new market opportunities involves analyzing customer beliefs, identifying innovations, adapting sustainability, improving existing frameworks, and conducting competition and environment analyses.

The future of work in the expert network industry is shaped by providing solutions to shortages, growing freelance opportunities, and technological developments.

A comprehensive guide identifying critical market research pitfalls including bias management, audience targeting, incentive design, and data utilization, with practical solutions to avoid them.