Journey Mapping- Deep Dive Lab

You can access recordings whenever you need to.

Most practitioners have only built current-state maps.

Few have experience with:

• Backward journey mapping

• Future-state journey mapping

• AI-enabled journeys

• Research-driven mapping

You can learn how to draw one.

This course teaches how to research, validate, facilitate, and use journey maps to drive decisions.

Most free content skips that part.

Templates are easy.

Knowing what evidence belongs in them is hard.

Most failed journey maps start with a template.

Most workshops produce a map.

This course teaches a repeatable method.

You'll learn how to create maps long after the course ends.

Many teams think so.

That's why many journey maps miss operational realities, accessibility barriers, stakeholder perspectives, and root causes.

Google gives fragments.

This course provides:

• A complete workflow -based on real user research

• Proven frameworks

• Facilitation techniques

• Research methods- including real SME interviews LIVE

• Real examples

• Expert feedback

AI can generate assumptions.

It cannot conduct trustworthy research.

The quality of a journey map depends on evidence.

The opposite.

AI increases the need to understand journeys because experiences now span humans, agents, channels, and automation.

Because current problems rarely appear overnight.

Historical decisions often explain today's friction.

Most teams never investigate this.

Because organizations need a target.

Current-state maps explain today.

Future-state maps guide change.

Users see experiences.

SMEs see constraints.

You need both perspectives- especially for Inclusive Design outcomes.

You can.

You'll likely miss:

• Policy constraints

• Technical debt

• Regulatory obligations

• Operational workarounds

No.

The methods help:

• UX researchers

• Product managers

• CX leaders

• Business analysts

• Consultants

• Transformation teams

No.

Beginners can follow along.

The content is aimed at practitioners who want stronger strategic skills.

If you've ever mapped an experience, interviewed a user, or participated in a workshop, you'll be fine

Expect roughly:

• 30–45 minutes per week of video

• Live sessions

• Optional exercises

Around 14–16 hours total.

Good news.

Most learning happens through your own work and reflection.

Group activities are limited and practical.

Because attention drops.

Ten-minute lessons focus on one idea at a time.

They're easier to revisit later.

Yes.

Many students start using techniques during Week 1.

Yes.

You'll receive practical tools you can use immediately.

No.

Templates are the smallest part of the value.

The method is what matters.

Service blueprints focus on operations.

Journey maps focus on experiences.

This course teaches how to connect both.

Enough to prepare you for current realities.

This is not an AI course.

It is a journey mapping course for an AI-enabled world.

Because many future journeys will involve:

• Agents

• Automation

• Assistants

• Human handoffs

Ignoring AI would be unrealistic.

Absolutely.

The methods work for:

• Healthcare

• Government

• Education

• Retail

• Financial services

• Internal employee experiences

Yes.

That's one of the biggest reasons organizations use journey maps

Common reasons:

• No research

• Too much opinion

• No operational input

• No action plan

• No ownership

We'll address each of these.

Then you'll learn when journey maps are useful and when another artifact is better.

Great.

You'll focus more on synthesis, facilitation, and strategic mapping.

Many experienced service designers have never learned backward journey mapping or AI-enabled future-state mapping.

Most courses teach how to map.

This course teaches how to investigate.

The map is simply the output.

The real skill is learning how to uncover what organizations, stakeholders, and users cannot yet see.

You'll leave with three mapping approaches you can use repeatedly:

• Current-state

• Future-state

• Backward journey mapping

Most practitioners know only one.