[100% OFF] Data-Driven Management: Metrics People Act On, 380 Tools

This course contains the use of artificial intelligence.

Most companies that call themselves data-driven have a dashboard nobody opens and a set of metrics that were gamed within a quarter. Here are 380 tools for data that changes decisions: 254 ready-to-use procedures, question lists, templates and checklists, 98 models and methods, 18 working files and 10 services shown on screen.

Open a lecture, take the template, and rebuild one metric around a decision.

Why data does not change decisions

Data is collected before anyone asks a question, metrics are chosen because they are easy to count, and dashboards report everything to nobody. Biases decide before the numbers arrive, and when a metric becomes a target, people learn to game it.

What changes after this course

You start with the question and the decision, check your own biases, design KPIs that hold up, analyse journeys, funnels and retention, and build hiring, development and culture on evidence.

What is inside: 380 tools, counted lecture by lecture

You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.

• 56 downloadable resources: lecture presentations plus 18 working files, including a requirements traceability matrix, a stakeholder register, a process KPI dashboard and a change request impact analysis
• 254 ready-to-use tools inside the presentations:
• 60 step-by-step procedures: critical success factor identification, KPI implementation, KPI behavioral impact testing, key driver analysis
• 54 question lists and scripts: root problem diagnosis, KPI employee consultation, metric discovery, measurement costs and benefits
• 49 templates and sample documents: decision presentation, performance indicator database, ROI calculation, KPI implementation project schedule
• 35 checklists: data validation, statistics verification, KPI quality, dashboard design
• 20 scorecards, rubrics and matrices: evidence hierarchy, risk probability-impact matrix, success factor strategic alignment, key driver action matrix
• 18 ready AI prompts: business problem statement generation, five whys analysis, requirements prioritization, TO-BE improvement analysis
• 14 formulas and metric sets and 4 other working tools: process efficiency metrics, workplace performance metric map, Cynefin framework, MoSCoW prioritization
• 98 models and methods explained with examples: A/B testing, OKR goal setting, balanced scorecard, Pareto principle
• 10 services shown on screen, including Microsoft Excel, Power BI, Tableau, Google Sheets, Google Forms and ChatGPT

Where the tools are

Thinking and evidence (2 sections, 45 tools). Logic, bias, sources and decision models.

Framing the question (2 sections, 116 tools). Problem, goal, metric, processes, systems and change.

KPI design (3 sections, 64 tools). What a KPI is, building and displaying indicators, implementation.

Analytics (4 sections, 105 tools). Journeys, funnels, retention, surveys, regression, forecasts and experiments.

A company built on data (3 sections, 71 tools). Hiring, selection, goals, development, culture and innovation.

Who is teaching

I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe. I am also a founder and lead the strategy of my own academy.

In my experience the best decision-making process, though not a simple one, was at Wargaming. Several departments supported decisions: data scientists who analysed options and prepared information, a data warehouse team that collected and processed data from many sources, and committees that made the decisions on that basis.

How to use the course

Start with thinking and framing, then design your KPIs and use the analytics sections on your own data. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

• 40 lectures across 15 sections, 18.5 hours
• 56 downloadable resources: lecture presentations and 18 working files
• 380 tools across the lessons, including 10 services shown on screen
• Lifetime access to all materials
• Active instructor support in the Q&A section
• A Udemy Certificate of Completion

Where to start

Write down one decision you will make this month and the number that should drive it, then open the first section. Enrol now and start your first lesson today.