The Complete Market Research Bootcamp

Define market research as a systematic process that starts with a marketing problem, collects and analyzes information, and yields actionable insights to improve marketing activities and decisions.

Explore exploratory, descriptive, and causal market research to see how each type guides data collection and analysis for informed decisions, using qualitative and quantitative methods.

Identify four focus areas in market research—industry, product, brand, and consumer segment—and frame Tam size, market share, brand lift, and motivations to scope the study.

Compare primary and secondary market research methodologies, covering qualitative methods (interviews, focus groups, ethnography) and quantitative methods (surveys, social listening), plus statistics, lit reviews, and content analysis.

Begin with a clear purpose and objective, never start with a methodology, then use the right approach and framework while asking good questions in binary to open-ended formats toward action.

Unpack your research objective by answering why, what, and how, guiding methodology choice and actionable insights. This lecture links to the research brief and explains exploratory, descriptive, and causal research.

Use this downloadable market research briefing template to plan and justify your project, outlining project details, objectives, target audience, and approach to build a business case and secure budget.

Actively manage a market research project by mapping timelines across stages, with tasks and milestones, using free Google Sheets templates, Asana, and ClickUp for Gantt charts.

Leverage credible data sources for secondary research across statistical analysis, lit reviews, case studies, and content analysis, and assess domain authority to avoid bias using Moz and Google Scholar.

Explore essential data sources for secondary research, including Google Trends, Google Dataset Search, Statista, government stats, Population Pyramid, CIA World Factbook, Similarweb, Kaggle, and ChatGPT, to power evidence-based insights.

Explore Google Trends to analyze search trends, filter by country or city, compare brands like Nike and Adidas, and download CSV for pivot-table analysis in Excel.

Explore how the Google Keyword Planner generates keyword ideas, estimates search volume, and supports paid search campaigns, with filters, country targeting, and competitor insights.

Discover practical strategies to source peer reviewed research and overcome paywalls by using open access journals, the Directory of Open Access Journals, Google Scholar, and Unpaywall.

Explore AI-powered secondary research with Perplexity, a versatile tool that crawls the web, summarizes sources with citations, and writes content—combining search, analysis, and copilot for market research.

Learn how to use ai tools like tldr this.com and quill bot to summarize long form articles, convert pdfs to text, and extract key points using ChatGPT.

Learn to install and use the Perplexity chrome extension to summarize web pages and PDFs for quick secondary research, including content behind paywalls via Unpaywall and answering page questions.

Learn to conduct competitor analysis using Similarweb, Moz, and G2, evaluate traffic, domain authority, and market presence, and use the provided template and SWOT to compare brands.

Explore a case study where a product designer at a phone case manufacturer assesses the foldable phone market via secondary research, filling the research brief with why, what, and how.

Analyze the foldable phone market's size, growth, and consumer demand using secondary research, then apply findings to decide if launching foldable phone cases is worth R&D investment.

Discover how to use AI-powered slides with Slides AI in Google Slides to rapidly create data-driven presentations, weaving quotes and growth metrics into compelling storytelling while curating for impact.

Explore the two main primary research types, qualitative and quantitative, and their methods, from interviews and focus groups to surveys, social media monitoring, and hybrid approaches driven by technology.

Compare outsourcing and do-it-yourself approaches for primary market research, outlining budget, training needs, vendor types from survey software to panel providers, and the risks of rushing or DIY pitfalls.

Learn how to incentivize primary research participants with cash, vouchers, draws, or donations. Apply best practices to avoid bias, keep incentives proportional to interview length, and avoid changes midway.

Explore qualitative market research methods such as interviews, focus groups, shop-alongs, and ethnography, and extend the case study across these approaches.

Explore in-depth interviews (IDI) as a one-on-one data collection method, covering recruitment, settings, structured and unstructured formats, and outputs like notes, transcripts, and coding.

Explore how focus groups work, when to use them, types and outputs, and how to plan, recruit, moderate, and analyze to gain insights for product and UX research.

Explore a shop along as a form of market research that accompanies shoppers in retail stores to observe real-time buying decisions, with follow-up interviews and careful note-taking.

Explore ethnography, an observational research method studying people in their natural environments to reveal behaviors and motivations. Use it as early-stage tool, capturing notes and insights within a research framework.

Analyze qualitative data by applying qualitative coding to uncover themes and convert unstructured notes, transcripts, audio, and video into structured insights through inductive and deductive approaches.

Move from secondary research to consumer interviews to validate entering the foldable phone case market, filling a research brief and applying Libra qualitative coding.

Explore how to fill a research brief and conduct qualitative coding with the free software Lygra, analyzing a foldable phone interview for durability, design, and purchase path.

Explore qualitative coding with software like Lygra and use ai tools such as ChatGPT to speed up interview analysis. Guard against fabricated outputs and prioritize human verification.

Explore quantitative research methods, from online surveys and social media monitoring to a/b testing, with notes on passive tracking, neuro studies, and eye tracking for UX insights.

Explore how online surveys work, their use cases, outputs, and the benefits and limitations of survey research, including design, sampling, and data quality.

Demonstrates programming a simple survey in Question Pro, comparing free survey tools, and applying core mechanics—single select, multi-select, ranking, open end—plus basic skip logic and distribution.

Learn how to analyze survey data by exporting to Excel or Google Sheets, filtering and segmenting data, and building pivot tables and crosstabs for insights.

Apply standard quality control checks to your survey data, including speedsters, streamliners, screen checks, open-end checks, and conflict checks, to remove bad data and ensure quality analysis.

Explore how to use ChatGPT to design online surveys, build brand-tracking questionnaires with demographic screening, localize brand lists across countries, and analyze open-ended responses with automated coding and Excel-ready outputs.

Explore the part 3 briefing for the foldable phone case study, detailing interview insights on durability, price, and battery life, and plan survey validation with pivot table analysis.

This case study's part 3 results validate that foldable phones are viewed positively, with 46% open to purchase, while durability and performance drive priorities for case design.

Discover how social media monitoring and social listening use keyword profiles, boolean logic, and crawlers or firehose access to track campaigns, crises, and customer feedback through dashboards.

Learn how A/B testing compares variants, how to run tests via surveys or web tools, and how to interpret results with null and alternative hypotheses, significance, and sample size.

Explore how to use significance calculators to assess AB test results, interpret observed power, P values, and Z scores, and understand sample size effects on significance.

Apply an A/B test and survey findings to pick between two foldable phone case designs, and prepare the research brief to decide which design to launch first.

Analyze a case study on A/B testing two phone case designs, showing design A leads in likability and purchase intent, while design B ranks higher in uniqueness and gifting appeal.

Delve into passive tracking, neuro studies, and eye tracking within quantitative research, exploring how they measure behavior, cognition, usability, and merchandising insights.

Recaps the market research bootcamp, outlining types and methods—from primary and secondary to qual and quant—within a structured framework for credible briefs and reports.