
In this lecture you read four lines of a typical experience report, see what each line actually says, learn where a complaint turns into a signal you can act on, and leave with one question worth asking at your next review.
This course is built from five disciplines: customer experience, candidate experience, employee experience, survey design and process optimisation.
The map of the course
A dictionary for reading lectures from other fields as your own audience
Three questions to ask after every lecture
A short self-diagnostic that shows which sections to watch first
Download the Customer Signal Readout and fill in one line after each lecture.
The main tasks of whoever owns this in a company
The effect on experience and on business results
The key indicators: NPS, CSAT, CES and first-contact resolution
Working with marketing, sales and product, and leading change
What an audit is for and what it must cover
Journey mapping as the core instrument
Collecting data: surveys, interviews, feedback
SWOT on the team, and finding the bottleneck rather than the symptom
Vision and mission for the service itself
Long-term and short-term goals
Developing policy and standards
Choosing the model: omnichannel, self-service and the rest
Hiring and onboarding into a service team
Training and coaching as a routine rather than an event
Financial and non-financial motivation
Building a culture of support, and career tracks that keep people
Working out what actually needs optimising
Using customer systems properly
Chatbots, AI and self-service, and where each stops helping
Building service levels and standard procedures, with real cases
Experience metrics: NPS, CSAT, CES
Team metrics: handling time, first-contact resolution, service level
Analysing feedback rather than counting it
Reporting, visualisation, and using it to decide
The types of difficult situation and the approach to each
Conflict management and active listening
Escalation: how and when to involve a manager
Communication standards in a crisis, and preventing negative feedback
The technology worth paying attention to
Global trends and practices
The role of AI and large data sets here
Staying competitive, and planning service development long-term
What candidate experience is and why it is a business question
What a poor one does to the brand
Its effect on public ratings and on response rates
A typical candidate journey, with cases that worked and cases that did not
First contact: response, outreach, communication
The interview stages and what each is for
Offers and rejections handled with transparency
Building the journey map, and automating the first steps with AI
The channels and what each is suited to
Frequency and tone of messages
Support at every stage, and the information people need
Examples of good and bad letters, and personalising with AI
Designing behavioural, situational and case questions
Avoiding questions that are discriminatory or simply useless
Training interviewers, with guides
Inclusion and accessibility, and AI for question quality
Systems that automate without removing the human part
Chatbots and assistants
Feedback platforms built for this
The metrics: satisfaction, recommendation, time to response
How company culture shows through the hiring process
Collecting feedback, analysing it and acting on it
Simulations as a training method
Fixing mistakes, with real transformation examples
The three environments that shape how work feels
The employee journey map
Auditing the experience with questionnaires
Encountering the company's site for the first time
The application process itself
The experience of being interviewed
Negotiating terms, and how the decision actually gets made
Communication before the start date
Pre-boarding as a stage in its own right
The first day
The onboarding process itself
Working with a manager
Performance management and evaluation as experienced from below
Communication and collaboration
Reward, benefits and development
Communication at the point of departure
The handover
References, and why the last week decides the story people tell
Staying in contact after someone leaves
Alumni communities
Former employees at company events
Referrals from them, and the returning employee
The role of surveys in experience work
The most common ones and what each is for
The automation tools
Market benchmarks to compare yourself against
Satisfaction, loyalty and engagement surveys
Experience and value proposition surveys
Burnout surveys and pulse surveys
Cross-department, management and exit surveys
Types of question and how each behaves
Response options and scales
How long a questionnaire can be before quality drops
Open questions, platforms, and a worked example
Setting the task the survey is meant to answer
Designing the questionnaire around it
Promoting it
Reminders, and where they start to annoy
The report formats available
Which charts communicate and which decorate
The sections to include, and the recommendations
Analysing open-ended answers
What conclusions the data actually supports
How to plan actions from them
Interim surveys to check whether anything moved
This course contains the use of artificial intelligence.
A company that maps its customer journey meticulously and has never once mapped the journey of the people serving that customer will eventually lose the people, and then the customers.
Where the score comes from
Satisfaction drops, and the response is a training session for the front line. But the front line is rarely the cause. The cause is a process with a handoff nobody owns, a policy that forces the answer people hate, or a team hired for a script and measured on handling time. Every one of those shows up as a low score attributed to attitude. I have run that training session. It changed nothing, because the thing being measured was downstream of the thing that was broken.
What this course actually covers
One method, applied three times, then the foundation underneath it. First, customer experience at its most developed: owning it, auditing it, building the strategy and the standards, running the team, the metrics — net promoter, satisfaction, effort, first-contact resolution — difficult situations and escalation. Second, the same apparatus turned toward candidates: the journey map, communication and tone, interviews as two-way conversation, the technology and the metrics. Third, turned inward at employees: from the first encounter with your website through onboarding, working, leaving and coming back. Fourth, the instrument all three share — survey types, question design, scales, running it, the report and the action plan. Fifth, process optimisation, because an experience is only ever as consistent as the process behind it.
A note on scope
Twelve of the thirty-four lessons are about candidates and employees rather than buyers. That is the argument of the course rather than a compromise in it. A journey map does not care whose journey it is, and neither do net promoter scores, touchpoint analysis or a feedback loop. If you only want the customer half, the first eight and last eight lessons stand on their own.
Who is teaching this
I am Mike Pritula. I built the people system at Preply as it became a unicorn, and I have worked at Wargaming, iDeals and Alfa-Bank. More than 1.6 million students have enrolled in my courses across 185 countries, and over 150,000 specialists have gone through my programmes. I hold PHRi and SHRM-CP certifications and represent HRCI in more than ten countries.
What is included
Lifetime access to all 34 lessons
Active instructor support in the Q&A section
A Udemy Certificate of Completion
Working material: journey mapping, the audit structure, service standards and service levels, the metric set, survey design and reporting, 5S, five whys, SIPOC, value stream maps
Practical work on your own audience rather than a case study
Where to start
Take your lowest satisfaction score from last quarter and ask which process failure sits behind it. If the honest answer is a policy or a handoff rather than a person, you already have the first case for this course. Enrol now and start today.