The Day, Hour by Hour
Eight working sessions between 09:00 and 17:00. Every one of them ends with something your team can use. Click any session below to see what happens inside it.
Thursday 29 October 2026 · Teams of 3 to 5 · Miro and AI provided
09:00 to 17:00
One full day
8 to 24
Participants
Teams of 3 to 5
Working mode
Miro + AI
Working environment
Your Own Challenge
Real, not a case study
10 Artefacts
Usable on Monday
One Integrated Workflow
Find the problem, understand the customer, create value, take it to market, test and learn, repeat. The whole day follows one workflow, with AI woven through every step. Humans + AI = Augmented Collaboration.
01
Find the Problem
Start with the right Customer Problem, not with an idea.
02
Understand the Customer
Map the workflow the problem actually lives inside.
03
Create Value
Design a Value Proposition and the Business Model around it.
04
Take It to Market
Turn the proposition into a Go-to-Market hypothesis.
05
Test and Learn
Convert assumptions into experiments and evidence.
06
Repeat
Run the loop and decide with evidence, not opinions.
Session by session
What Happens, and When
Timings are indicative. The facilitator adapts the rhythm to the room and to the challenge in front of it.
09:00 – 09:30 1.Reframe: Why Augmented Collaboration?
Why traditional ways of working are no longer sufficient. AI has increased the speed of producing ideas, analysis and content, but more output is not automatically more progress. Teams still operate in silos, revisit decisions, and spend more time discussing than learning.
Activity: Collaboration Friction Map
- Where do we lose time?
- Where do decisions get stuck?
- Where do teams work in silos?
- Where do handovers slow us down?
- Where are assumptions hidden?
- Where could AI augment the team?
09:30 – 10:15 2.The New Operating System
Humans bring creativity, empathy, context, judgement, relationships and decision-making. AI brings speed, scale, synthesis, pattern recognition, alternatives and challenge. The opportunity is not Human OR AI. It is Human + AI working as one collaborative system.
Activity: Human vs AI vs Human + AI
- Round 1: solve the challenge human only
- Round 2: solve it AI only
- Round 3: solve it Human + AI
- Compare speed and quality
- Compare creativity and insight
- Compare blind spots and decision quality
10:30 – 11:30 3.Find the Right Customer Problem
Do not start with an idea. Start with the right problem. Teams take a real customer or business challenge through the Customer Problem template: Customer, Context, Job, Struggle, Need, Problem. Then AI becomes the Problem Challenger.
Activity: Customer Problem Sprint
- Who experiences the problem?
- What are they trying to accomplish?
- When does the problem occur?
- What do they do today?
- What are the pains?
- What outcome do they want?
- What evidence do we actually have?
- What are we merely assuming?
11:30 – 12:15 4.Understand the Customer Workflow
A Customer Problem never exists in isolation. It sits inside a workflow. Teams map the customer journey end to end: Trigger, Discover, Explore, Decide, Buy, Use, Get Value, Repeat.
Activity: Customer Workflow Mapping
- Customer job at each stage
- Actions and the people involved
- Information needed to move forward
- Pain and friction points
- Existing alternatives
- Unmet needs
- Where could we create disproportionate value?
12:15 – 12:30 Morning Synthesis
Each team presents in one minute: our Customer, our Problem, our Workflow, our biggest Opportunity. A clean handover into the afternoon.
13:15 – 14:45 5.Create Value: The Value Creation Workflow
The hero module of the day. Rather than designing a Value Proposition in isolation, teams move through the entire value creation system: Customer Problem, Customer Workflow, Value Opportunity, Value Proposition, Business Model, Go-to-Market.
Four steps
- Select the Value Opportunity with the strongest mix of customer value, strategic relevance and testability
- Design the Value Proposition using jobs, pains and gains against products, pain relievers and gain creators
- Put AI to work as Value Proposition Challenger: why would the customer not buy this?
- Connect it to the Business Model: channels, activities, partners, resources, revenue, costs
- Design the Go-to-Market: target customer, route to market, acquisition, conversion, activation, growth, economics
15:00 – 16:00 6.Experiment: Turn Assumptions into Evidence
Do not debate uncertainty. Design experiments that reduce it. Teams put the entire Value Creation Blueprint under pressure and find the assumptions that would break it.
Activity: Assumption to Experiment
- What do we believe?
- How important is it?
- What evidence do we need?
- What is the fastest experiment?
- Customer has the problem, so run customer interviews
- Customer will pay, so run a pricing experiment
- Channel works, so run an acquisition test
- Customer gets value, so run a prototype or MVP test
16:00 – 16:30 7.Run the Augmented Innovation Loop
Connect everything: Customer Problem, Value Proposition, Experiment, Evidence, Learning, Decision, next experiment. The shift is from meetings to experiments, opinions to evidence, handoffs to collaboration, and AI as a tool to AI as a collaborator.
Activity: Innovation Loop Simulation
- Teams receive new evidence from an experiment
- They decide: persevere, pivot or kill
- AI is used to challenge the decision
- Humans stay responsible for the judgement
16:30 – 17:00 8.Install: From Workshop to Practice
The day finishes with implementation rather than a generic reflection.
Activity: 30-60-90 Day Plan
- 30 days, START: what will we do differently immediately?
- 60 days, SCALE: where will we apply the approach again?
- 90 days, INSTALL: how does this become our normal way of working?
- First use case, team and owner
- First experiment and AI workflow
- Success metric and next review date
Thursday 29 October 2026
Bring a real challenge. Leave with a plan.
€795 per participant · 40 seats · Miro, AI and every Augmented Collaboration template included.