[ 4] Schwartz, Peter. The
Art of the Long View:
Planning for the Future
in an Uncertain World.
New York: Currency
Doubleday, 1991. Many
of tools and methodologies for developing
scenarios that are
mentioned in this article
have been adapted
from the thinking of
Peter Schwartz.
Developing Growth
Platforms in Five Key Stages
A strong process can ensure
favorable results for any strategic effort. At Jump we use an
explore process for developing new growth platforms that
takes us through five key stages.
First, we observe—collecting
data about the world. Next, we
develop frameworks, finding
patterns and meaning in the
data we collect. Third, we craft
imperatives, translating our
knowledge into principles for
action. We then ideate solutions,
taking action to implement the
imperatives we’ve uncovered
into new ideas for products, services, and businesses. Finally,
we iterate—moving back and
forth, left and right, and back to
observations through the cycle,
time and time again.
The act of innovation can be
seen as a process of toggling
between items in the concrete
world and abstract concepts,
between analysis of the situation and synthesis of a desired
result. Jump Associates uses
an iterative explore process for
identifying and developing new
platforms for growth.
Reframing Research Methods
Many organizations use some
variant of this process to help
them gain insights about the
world and develop solutions
that connect with people’s
needs. This process is not scenario planning. It’s an exploration into identifying and
developing new platforms for
growth. And yet, many scenario planning techniques can
help add a strategic lens to the
ideas, imperatives, and even
the conversations we have with
our colleagues, throughout the
journey. When viewed through
the lens of a scenario planner,
each step reveals a reframe that
can help uncover new sources
of growth and create lasting
competitive advantage.
These reframes include:
1. Observations: Look broadly
to expand and inform our
thinking.
2. Frameworks: Imagine where
trends are going, not just
where they are today.
3. Imperatives: Use ideation as a
tool to explore what’s most
important.
4. Solutions: Develop rich experiences to create context for
proposed solutions.
5. Iteration: Monitor leading indicators to engage in an ongoing strategic conversation.
Observations. When researchers begin a new project, they
strive to see the world with fresh
eyes, listen, learn, and identify
new points of view. The reality
is that they are often rushed to
recruit participants, shorten the
timeframe, or cut back on activities. They resort to what they
already know and collect the
necessary data to better under-
stand only the problem at hand.
While this approach gets the
project done faster, it may not
lead to any new insights about
the world.
To counter the tendency
to focus on what is already
known, Peter Schwartz, a futurist, author, and cofounder of
the Global Business Network,
challenges research to reach as
broadly as possible—to expand
and inform organizational
thinking. In his book, The Art of
the Long View, Schwartz suggests
using the STEEP framework
(social, technology, economy,
environment, and politics) to
collect data [ 4]. He asks, what
are the most relevant social,
demographic, or lifestyle trends?
Which technologies or R&D
trends could make a dent in the
future of the business? What are
the forces and industries shaping the economy and business
climate? Which environmental
issues could have a real and dramatic impact? And what are the
policies and regulatory issues
that might make a difference?
Exploring these five categories
is a great way to ensure coverage across a vast territory in a
shortened timeline.
Frameworks. Frameworking
is the process of organizing
information to bring structure
and clarity to what might otherwise seem complex. Most often,
researchers look for this meaning in the observable and real.
While this is helpful for developing incremental solutions, it may
be even better to uncover where
the world is headed, not just
where it is right now.
To do this, scenario planning
suggests focusing on “critical
uncertainties.” Filtering out the
issues will be the most criti-