This talk takes you on a journey to understand what a 'discovery' period in your design and tech project currently looks like, through to what it could be.
Spoiler: It can be so much more, but you need to be prescriptive in the way you put together your team, and let go when you're going through the process. Oh and make specific time for non-specific things to happen.
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Come flying on Divergence Airways with Mike Biggs -"We always land"
2. Today I aim to
• Show that Discoveries can be so much more.
• Define some ‘How tos’ of great Discoveries.
• Provide the core elements that will make them easier to understand
and sell.
WHY we always land…
8. Revisiting the Double Diamond
Diverge Converge
Sensemaking
Feel uncomfortable
Fuzzy
Compounding
Constraints
Contradiction
Complex
Feel coherent
Understood
A path forward
Defined problems
Problem Definition
Generative thinking Inductive thinkingAbductive Thinking
Example activities
Prototyping
Testing
Example activities
Research
Finding meaning
Certainty
10. “It is not the mountain we
conquer, but ourselves.”
Edmund Hillary, Explorer
11. Principles of a great Discovery
• Diversity of the team.
• Intentional Divergence where we aim to Discover
completely new information and push boundaries in:
• Product
• Process
• Ourselves
• Explicit Sensemaking.
• Radical Editing resulting in models that provide clarity.
• Problems to solve.
• Validation of insights or solution ideas.
• Focus
12. Diversity of team
How we achieve it:
GOOD: Racial, Culture, Gender, extrovert,
introvert.
BETTER: Role / function, area of expertise, level
of experience, radical vs incremental innovators.,
Horizon 1 vs Horizon 3 thinkers.
SUPER-CHARGED: No common language,
extremely unrelated domain expertise, use
children as focus group participants.
13. Intentional Divergence
How we achieve it:
GOOD: Question everything, call bullshit.
BETTER: Use specific generative thinking tools such as:
• Provocative Operations: e.g. “People are robots”
• Random word. e.g “Lemon” + Interface =?
• 6 Thinking Hats, CVS2BVS, X10, GBB, etc….
SUPER-CHARGED: Mexican Shaman Don Juan recommends
‘Not-Doings’ - an intentional act that will break your current way
of perceiving.
15. Explicit Sensemaking
How we achieve it:
GOOD: Genius’ staring into the middle
distance whilst listening to Jazz.
BETTER: Collective discussion and formation
of a shared view. Randomly putting elements
together.
SUPER-CHARGED: Using a repeatable
formulas such as ‘narratvies’ which ensures
the underlying equation is used.
+
18. Sensemaking Equation
New information + Stuff we know = Insights
• Research
• Facts
• Constraints
• Mental models
• Design / Development
models
• Other Facts
• Goals
• Values / Meaning
• Explanations that provide
new meaning
• A model that can be used
to make decisions
• A truth that is actionable
beyond the immediate
circumstances
19. A guide (through that equation)
Sensemaking
Facts
New Information
Feelings
Your personal experience
Insights
New truths
Actions
Tangible steps
20. Potential
Data Point
Goal
Acumen Example
Potential
Data Point
Potential
Data Point
Potential
Data Point
Context: We created this visual representation of the value stream which
surfaced the key needs of the situation. The key issue was to bring the
orange stickies closer together earlier. This represented accuracy of the
stock in the warehouse with stock with thought we had- “closing the gap”.
Potential Data Points: The purple notes are potential data points that we
learnt were available in the system and were important in one way or another.
We mapped them along the value stream to understand how early we could get
(and use) that point. It’s important to note that there are potential data points
on both sides of the stream. If there were not, there would be no advantage in
mapping them, as we could not use them to close the gap.
Goals of the Product Vision: The pink notes are goals that would be achieved
by bringing the two potential data sources together at that point in the value
stream. We were able to discuss which goal could be achieved in practice, how
accurate the data “closing the gap” would be, and which one was more
important to focus on.
Goal
Problem
option
#2 to be
solved.
Problem
option
#1 to be
solved.
Decision: It was decided that we would focus on problem
option #2.
When discussing the relative gains, it was agreed that to solve
the problem of aligning data points at the earlier star (#1), the
accuracy would be lower, and the incremental advantage of
being earlier in the timeline would not be worth the effort.
This is why we decided to focus on the later point first.
21. Bresic Whitney Example
After conducting value stream mapping
to identify the primary waste in the
system, we had a hunch about what
would improve it the most; Internet
speed, and virtual system access.
But it was a hunch, and we wanted to be
sure.
So we created a chart (shown on the left)
that plotted the pain points (including
gains), against the desired future state
that would support strategic goals.
Contrary to our hunch, the area we could
have the most impact was Workflows.
We were able to prioritise workflow as an
initial project which would release the
most value in the shortest amount of
time.
PainPoints
Gains
Future Capabilities (visioned)
32. Level of Abstraction
Strategic Risks identified
to be monitored
Goals & types of
learning required ⟩
• Generative Thinking
• FutureSpectives
• Personal Reflection
• Sensemaking
• Framing
Changes in Society
Our Identity
Our Assets
Coverage not metrics
ActivitiesFocus Area(s)
Hypothesis for new
business models
= Product / Market fit
⟩
• Service Blueprinting
• Business Model Canvas
• Market Analysis
• Competitive Analysis
• How Now Wow
Competitive Environment
Business Models
The Org, the Market
Key Metrics
Hypotheses for new
customers / new
problems to be solved
= Problem / Solution fit ⟩
• Design Thinking
• Kano analysis
• Qualitative Interviews
• Jobs to be Done
• Empathy Maps
Customer problems/ needs
Key metrics
Hypotheses for process
improvement and/or
feature-based product
improvement ⟩ • Value Stream Mapping
• Theory of Constraints
• Contextual Enquiry
Internal process/ value
streams
Alignment to strategy
KPIs
TACTICAL
STRATEGIC
MANDATORYFORINNOVATIONCATALYSTSFORINNOVATION
Outcomes Desired
33. Level of Abstraction
Strategic Risks identified
to be monitored
Goals & types of
learning required ⟩
• Generative Thinking
• FutureSpectives
• Personal Reflection
• Sensemaking
• Framing
Changes in Society
Our Identity
Our Assets
Coverage not metrics
ActivitiesFocus Area(s)
Hypothesis for new
business models
= Product / Market fit
⟩
• Service Blueprinting
• Business Model Canvas
• Market Analysis
• Competitive Analysis
• How Now Wow
Competitive Environment
Business Models
The Org, the Market
Key Metrics
Hypotheses for new
customers / new
problems to be solved
= Problem / Solution fit ⟩
• Design Thinking
• Kano analysis
• Qualitative Interviews
• Jobs to be Done
• Empathy Maps
Customer problems/ needs
Key metrics
Hypotheses for process
improvement and/or
feature-based product
improvement ⟩ • Value Stream Mapping
• Theory of Constraints
• Contextual Enquiry
Internal process/ value
streams
Alignment to strategy
KPIs
TACTICAL
STRATEGIC
MANDATORYFORINNOVATIONCATALYSTSFORINNOVATION
Outcomes Desired
Client knows the level of
outcome(s) required...
We know where to look to
understand & or make
change...
And we know how to apply a
methodology to get the required
outcome...
34. Selling Formula
Service Blueprinting
Business Model Canvas
Market Analysis
Competitive Analysis
How Now Wow
Hypothesis for new
business models
= Product / Market fit
⟩
Competitive Environment
Business Models
The Org, the Market
Key Metrics
Define the value Prove we’ve done
it before
Have a method Be specific about
the outputs
36. Suncorp Example
Suncorp are practicing a radical discovery as an
ongoing function within their organisation. They
are reducing their strategic risk by constantly
scanning industries that could affect them in the
future.
They do this through:
● Constant broad coverage of potential
signals.
● No sense of what’s most important and no
prioritisation.