MBA in Product Management : Be a Product Manager ( 2026)

Align features with the product vision through a clear strategy, vision board, and tangible goals; define customer personas and pain points, and assess market size, growth, competition, and macroeconomic trends.

Explains a chess-inspired product strategy framework across corporate, business, and functional levels, guiding discovery, analysis, design, development, and iteration toward a clear vision, metrics, and action plans.

Explore how a product charter clarifies mission, goals, and guiding values, then use strategic research on customers and competitors to shape product strategy and key performance indicators.

Create a grocery delivery app product charter outlining a 15-20 year vision and 3-5 year mission, plus goals, key features, success metrics, risk management, and stakeholders.

Explore market research by diving into customer pain points, competitor strategies, and company capabilities using tools like five whys, design thinking, jobs to be done, and journey mapping.

Create a product vision board with a one-line vision statement, define problem space and solution space for customer segments like working professional, working mom, and university student.

Learn how a grocery delivery app uses a product vision board to define the long term vision, target groups, needs, product features, and business goals.

Learn the eight steps to build a product strategy, from defining the market and calculating market size to customer personas, differentiation, metrics, and roadmapping.

Outline the user problem in step one of product strategy, focusing on customer empathy, user journey, and jobs to be done to guide what, why, and how to build.

Discover how a customer empathy map reveals what users think, feel, hear, say, and do. Identify needs, pains, and gains for a food delivery app by building empathy with interviews.

Explore a customer empathy map for a grocery delivery app, detailing four quadrants (think, say, do, feel), along with pain points and gains to inform product decisions.

Define and map the user journey for a food delivery app using awareness, consideration, conversion, customer service, and loyalty stages, identifying touchpoints, needs, and pain points to improve experience.

Map a grocery delivery user journey across five touchpoints—awareness, consideration, conversion, customer service, and loyalty—highlighting activities, goals, and emotions from ads to fast two-to-three hour deliveries and repeat orders.

Analyze the user journey in a food delivery app, from install to delivery, detailing onboarding, browsing, checkout, and post-purchase steps, and identify improvements like quick onboarding and personalized recommendations.

Build on customer empathy map and user journey map by applying the jobs-to-be-done framework to validate needs, define functional, social, and emotional jobs, and create job statements tied to stories.

Apply jobs-to-be-done framework to a grocery delivery app, identifying jobs like efficient grocery shopping, stress-free commute, healthy meal planning, and convenient subscription management to ensure the product meets customer needs.

Map customer needs with user personas to build empathy, uncover goals, motivations, and frustrations, and craft 3-5 profiles (for grocery delivery) that guide MVP-inspired product design.

Create four to five user personas, including Sarah, a busy London-based mother of two, to identify goals, motivations, and frustrations for a grocery delivery app, including time-saving features.

Define your market by sizing TAM, SAM, and SOM to understand market size. Then use Porter's five forces to assess competitive dynamics and entry viability for product strategy.

Estimate market size with TAM, SAM, and SOM for a UK grocery delivery app by analyzing population, spending power, and purchase frequency; calculate revenue scenarios to guide investor fundraising.

Define a clear product goal with the smart framework: specific, measurable, attainable, relevant, and time-based. Use okrs to set quarterly objectives, measure key results, and plan initiatives toward concrete impact.

Explore the OKR framework—objectives and key results—showing how startups and product teams set goals, measure progress, and drive initiatives to improve testing, sign-ups, and bug resolution.

Learn how to establish product differentiation by refining quality, design, pricing, service, features, and customization, using the 5 C pricing framework and various business models.

Define actionable success metrics and KPIs aligned to your product goal using the RR pirate metrics framework and North Star metric. Monitor input metrics and initiatives.

Break down a new feature into epics, stories, features, and subtasks, and assign them to design and engineering teams. Use the wishlist example to illustrate.

Explore the pillars of product strategy: vision, customer, competition, alignment. Apply vision mapping, jobs to be done, customer journey mapping, SWOT and feature gap analysis to prioritize revenue features.

Explore product analytics to inform decisions with data. Build a Mixpanel dashboard to track CAC, LTV, monthly active users, daily active users, retention, referrals, and monthly recurring revenue.

Explain product analytics through an ice cream detective story, showing how to track orders, unique and repeat customers, toppings, and peak hours to make data-driven, customer-first decisions.

Learn product analytics and user behavior tracking by tracing acquisition, segmentation, and feature usage, and apply metrics like CAC, customer lifetime value, retention, and cohorts.

Compare marketing analytics and product analytics to map the full user journey, from acquisition with Google Analytics to engagement, activation, and retention.

Explore three steps of product analytics: data collection and processing, CDP integration with tools like Segment or Freshpaint, and feature tracking to analyze metrics on value, engagement, and retention.

Learn the basics of Mixpanel events and event properties, and how product analytics tools track user journeys to optimize features, cohorts, and north star metrics.

Define how your product delivers value to customers and measure it with north star, L0, and L1 metrics, tracking value moments and aha moments through Canva and Netflix.

Identify the first value moment for Instagram, Snapchat, and WhatsApp by evaluating user actions in a product analytics assignment, such as sign up, following a friend, opening the camera.

Identify power users, casual users, and churn users to gather qualitative feedback and quantitative data on the value moment, using cohorts to optimize onboarding and feature usage.

Explore how product value is defined, measured, and monetized. Identify value moments and North Star metrics to track how products deliver tangible benefits to users.

Identify power users, casual users, and churn users to analyze value moments, cohorts, and onboarding, using examples like the people you may know feature and Canva's design download.

Differentiate value moment from value exchange to show how products monetize through direct payment, ads and data, and explore transactional, subscription, freemium, and pay-as-you-go models.

Explore more than 60 product metrics—acquisition, sign-up, engagement, monetization, retention, commerce, feedback, usage, operations, platform, and financial metrics—via an Excel sheet and Mixpanel guidance.

Track product metrics to guide prioritization and feature success, onboarding, and retention. Analyze user journeys from reach to activation, engagement, and retention using CAC, LTV, MRR, DAU/MAU, and NPS.

Explore how to measure reach, activation, active usage, engagement, and retention across finance, SaaS, retail, and media to optimize product metrics.

Define a north star metric to guide long-term product success by focusing on delivering value to customers, aligning teams and tracking activation, engagement, and L1 and L2 metrics.

Learn how events, event properties, and profiles power product analytics, illustrated by a birthday party where events capture actions and profiles describe users.

Explore Mixpanel's events, event properties, and profile properties with a demo e-commerce dataset, from sign up to purchase, and learn data ingestion and user journey analysis.

Explore how to use Mixpanel insight reports to analyze time-series data with events and properties, build funnels, flows, and retention, and create reusable metrics and cohorts for targeted campaigns.

Learn how mixpanel funnels track multi-step user journeys from signup to purchase, using events and properties to analyze drop-offs, compute conversion rates, and break down by device, region, and filters.

Learn how retention and funnels drive product insights and use the Mixpanel flow report to visualize user paths from signup to purchase across web and mobile.

Explore how Mixpanel flows report maps user journeys—from product views to checkout—to uncover bottlenecks like filters, and use retention cohorts to measure weekly returning purchases.

Create and share an e-commerce KPI dashboard in Mixpanel to monitor revenue over time, growth, AOV, ARPU, funnels, category revenue, cohorts, and frequency distribution.

This video outlines 30 to 35 assignments across sections—awareness and acquisition, onboarding and activation, engagement and retention, and revenue and monetization—using Excel and analytics to practice cac and ltv.

Analyze marketing campaign performance across email, social, PPC, affiliate, and influencer campaigns by calculating ROI, ROAS, CTR, and conversion rates from impressions, clicks, signups, and purchases.

Analyze how discount levels affect customer acquisition cost, cost per sign up, cost per purchase, and revenue per purchase to optimize ROI across email, social, ppc, affiliate, and influencer campaigns.

Build a growth playbook to improve acquisition on Daily Basket by creating a high-value landing page with social proof and scarcity, then drive onboarding, activation, retention, and monetization.

Master onboarding optimization for DailyBasket by applying progressive disclosure, endorsed progress, and goal gradient, with simple selectors to reduce cognitive load and boost completion.

Analyze a funnel from impression to click to sign up to identify drop-offs across campaigns. Calculate conversion rate by dividing sign ups by impressions and compare performance across platforms.

Analyze channel attribution by examining how multiple touchpoints from acquisition sources drive revenue, user counts, and average revenue per user, using pivot tables or sumifs.

Explore advanced segmentation of new users by acquisition source, calculating total sign ups, total purchases, conversion rate, average order value, and time to first purchase to optimize campaigns.

Analyze user signup trends for a grocery app over three months by acquisition source and time frame, computing total signups and average daily signups using sumif and days in month.

Perform A/B testing on landing pages A and B to maximize clicks, sign-ups, and purchases, and evaluate revenue using data from tools such as Optimizely and Google Analytics.

Evaluate how discounts influence acquisition by analyzing campaign data including impressions, clicks, signups, purchases, and spend—using pivot tables to compute click-through rate, signup rate, purchase rate, and return on investment.

Learn to optimize activation for a grocery app by driving users to place their first order through gamification, live delivery tracking, and a first-week challenge with cashback.

Explore onboarding and activation through time-to-activation analysis, using sign-up and first-order data to compute activation time and a simple activation probability, and discuss how 3 to 4 orders define activation.

Perform a stepwise drop-off analysis of the grocery app onboarding, evaluating seven steps from account creation to placing the first order, computing drop-off and conversion rates, and delivering data‑driven recommendations.

Explore activation success by tracking time to complete three onboarding goals—from sign up to first order—and classify users as fast, moderate, or slow activators to optimize conversion rate.

Analyze the first order completion rate using onboarding, sign-up date, first order date, and app opens. Segment users by time to first order and usage to yield actionable optimization insights.

Segment grocery app users by activation time, classifying them as fast, moderate, or slow activators by time to first order. Analyze acquisition sources and app open frequency to inform conclusions.

Launch retention by converting week-one convenience into habit through streaks, personalized product suggestions, and contextual prompts via push or WhatsApp, to boost long-term usage and average order value.

Analyze how onboarding features impact retention in a grocery app by comparing interactive walkthrough and welcome discount across day 7, 14, and 30, considering feature exposure and usage scenarios.

This lecture covers monetization and pricing for a delivery app, illustrating free-delivery trials, wallet loading with cashback, and a subscription model while applying goal-gradient, anchoring, mental accounting, and price framing.

Define the exact product requirements and build plan by applying goal-setting frameworks during discovery, aligning vision, strategy, and roadmap with customer problems and market needs.

Discover product discovery and how to identify customer needs with personas, feedback, and user stories. Explore idea generation methods like brainstorming, figure storming, mind maps, rapid iteration, and round robin.

Organize a grocery app brainstorming session with a product lead, revenue lead, product manager, and designers to generate ideas on homepage optimization, pin-code relevance, and offers.

Apply the five whys to identify root causes of delivery delays at the customer doorstep. Use star busting and mind mapping to design landmarks and notes that improve navigation.

Create a mind map for the delivery partner app to improve driver experience, exploring personal, environmental, business, and technology contexts, using figjam for brainstorming.

Learn product planning and OKRs to define a clear objective and goals for each feature. Use the product goal template to show how actions impact users and measure success.

Learn how to set and measure goals with OKRs, applying four objectives for a food delivery app—boosting NPS, retention, market reach, and personalization through key results and initiatives.

Create a goal-driven product roadmap for a grocery app, outlining quarterly goals, features like smart cart, express checkout, and real-time delivery tracking, and conversion rate targets.

Define a three-stage agile product roadmap for current, upcoming, and future priorities. Align initiatives to goals, onboarding, delivery logistics, retention, and loyalty, with measurable key results and flexible format.

Lead a scrum master-facilitated brainstorming session to gather diverse product ideas across three rounds, then group them by features such as user experience, design, growth, and technology.

Evaluate ideas using risk, reversibility, and required actions for a user persona; score with impact, confidence, and ease to prioritize product initiatives.

Calculate the AI score to prioritize product ideas by weighing risk, alignment, research, ideation, validation, and refine, illustrated with real-time order updates and Google Map APIs.

Learn to write a product requirements document for a loyalty program in a grocery delivery app to boost retention and engagement. Cover problem statements, user journeys, metrics, and risks.

Learn how to craft concise user stories for PRDs from a user’s perspective, including real-time order tracking, in-app modifications, intuitive interfaces, and delivery instructions to guide product teams.

Define acceptance criteria for user stories by detailing real-time order updates, push notifications at each status, live delivery partner tracking, and dynamic delivery estimates, plus clear checkout delivery instructions.

Plan a two-week sprint with a sprint goal, product requirement document, and acceptance criteria to improve real-time order tracking, followed by a retrospective to refine push notifications and delivery estimates.

Set a product goal to grow monthly active subscribers and retention by tracking KPIs like new subscriber acquisition, churn, renewal rate, average revenue per user, and CTR on personalized recommendations.

Identify the one metric that matters (OMTM), a north star metric, such as on-time delivery or five-star orders, to boost customer satisfaction, retention, loyalty, and revenue through operational efficiency.

Discover how agile accelerates product delivery by iterating in small slices and embracing feedback. The apple analogy contrasts agile with waterfall, highlighting speed and adaptability to serve hungry kids.

Explore the agile manifesto and its 12 principles, including the four values, to understand iterative delivery, customer collaboration, and working software by self-organizing teams that embrace change.

Learn how scrum fits into agile methodology, with the 353 shorthand of three accountabilities, five events, and three artifacts, and how product owners, developers, and scrum masters drive sprint increments.

Learn how to turn product vision into strategy and a prioritized roadmap, create a PRD and design reviews, and execute 14-day sprints with daily scrums, sprint reviews, and retrospectives.

Explore a product manager's 14-day sprint cadence in fintech, detailing Monday releases, daily scrums, backlog grooming, epic and story planning, design reviews, and release notes.

Learn to use Jira for product management, create roadmaps, backlogs, and sprint plans with epics, stories, tasks, and acceptance criteria, and product requirement documents, plus templates like Kanban and Scrum.

Learn how to transform epics into stories, tasks, and subtasks in Jira, plan sprints, and assign login, registration, and product listing work with design, backlog, and acceptance criteria.

Learn to build and manage product roadmaps in Jira by applying agile scrum practices, from product vision and strategy to PRD, design reviews, and sprint ceremonies.

Explore epics, user stories, tasks, and increments to build three features—online ordering, search, and restaurant reviews—while managing a product backlog, sprint backlog, and definition of done.

Define user goals for a food delivery app, craft user stories to sign up, log in, and order across devices, and plan iterations and backlog grooming to prioritize features.

Master product backlog grooming and refinement: prioritize items with frameworks like RICE or cost of delay, estimate effort, and shape the sprint backlog with acceptance criteria and user stories.

Learn four-step user story mapping to define your user personas, tell a story of the goal, build the backbone of activities, and break tasks into prioritized steps.

Master Microsoft Excel basics for product managers, from essential formulas like IF and SUMIF to VLOOKUP and HLOOKUP; summarize data with pivot tables and create clear charts.

Master Microsoft Excel essentials, including pivot tables and key formulas, plus fast navigation shortcuts, to extract insights from retail data like Nykaa's sales across formats.

Learn to create and analyze pivot tables in Excel and Google Sheets by dragging fields, applying filters, and computing totals, percentages, and dashboards.

Master vlookup and xlookup in Excel to link datasets using a common SKU key. Build a table array with absolute referencing and exact matches, and explore pivot table basics.

Analyze five products sold by Nikon through Nykaa using pivot tables to convert dates to days and months, apply lookups, and assess promotions and seasonality for sales trends.

Analyze a sales dataset to calculate total revenue by each product and category, determine country-wise sales percentages, and create pivot tables and pivot charts to visualize the results.

Explore line, bar, pie, column, and scatter charts to visualize composition, comparison, and relationships, and learn to use pivot tables, secondary axes, histograms, and normal distribution.

Create and analyze charts in Excel to compare actual sales against targets using line and bar charts, and add a secondary axis to visualize revenue and units over time.

Master tech foundations for product managers, from how the internet and browsers work to APIs, HTTP status codes, deployment pipelines, and a weather app project.

Understand how the internet works from devices to data centers, including hardware, internet service providers, submarine cables, and the flow of http requests between clients and servers.

Explore how IP addresses and the domain name system work with your internet service provider, including public versus private IPs, DNS mapping, and generic and country domain names.

Explore how the web works by mapping front-end and back-end roles, HTTP requests, and the flow between browser, servers, and databases using HTML, CSS, and JavaScript.