The Shining Flycatcher (Myiagra Alecto), native of Northern Australia and Southwest Pacific islands, is one of a group of about 60 species of Monarch Flycatchers (Monarchidae) whose genetic diversification patterns have been carefully studied. A 2005 paper by Christopher E. Filardi and Robert G. Moyle has turned conventional thinking on its head, by using DNA studies to show that diversity has emerged from these populations in a more isotropic pattern than was previously thought. Formerly, it was believed that continental species colonized the islands in a steppingstone pattern, one island group to the next, and that genetic diversification necessarily followed that pattern. The DNA studies show that there has been extensive backtracking in which genetically specialized forms have re-colonized previously colonized islands. The populations on many islands include genetic specializations developed not on those islands, nor on islands closer to the continents, but on islands further from the continental source of the original colonizers. The morphological similarities between the re-colonizers and the original colonizers had led earlier researchers to believe that colonization was directional — outward from the continents. But the actual colonization path, and the genetic diversification path, were far more complex.
In evolution, backtracking is not really possible. What does happen is a rediscovery of prior forms, usually with small differences. So it is in product development, where we revive prior forms modified according to what we've learned on the path from which we're retreating. The term evolutionary as applied to product lifecycles may be far more apt than we realize.
Photo (cc) Attribution-ShareAlike 2.0 Generic Greg Miles, courtesy Wikipedia.
Problem solving — or sometimes even just stating the problem — usually entails discovery. After successful resolution, we can look back at our path, and we usually notice new techniques, new concepts and new perspectives. For difficult problems, the path includes several failed attempts, which perhaps we used to refine either the problem statement or our approach or both. Or we decide to solve a simpler problem first, and use that experience to re-examine the original problem. Or we decide that we can't solve the original problem, but we do address the parts that seem tractable.
These latter approaches are all elements of the incremental problem-solving toolkit. Often, incremental problem solving produces useful results, but there is a risk that the results produced aren't optimal by any measure (see, for example, "Indicators of Lock-In: I," Point Lookout for March 23, 2011). And a string of promising results might lead not to the ultimate objective, but to a dead end.
That's why backtracking is so important in the incremental toolkit, but it can be difficult or impossible to use. Why?
Typically, increments produce useful capability, while they illuminate possible next steps. When customers use the capability so far delivered, more wants and needs become clear. All these lessons together help determine objectives for future increments. So it goes, iteration by iteration.
Although the solving helps illuminate the path, that path might or might not lead to the final objective. When it doesn't, we must backtrack, and therein lies risk. Here are some obstacles to backtracking in incremental problem solving.
- Blindness
- Once a particular approach is embedded in the consciousness, seeing new approaches can become difficult, even when we're looking for them.
- Sunk cost
- Whatever we've spent so far can sometimes prevent us from trying new approaches. We might lack the resources or time to rebuild what we've done, or we might lack the daring to ask for what we need.
- Seeing backtracking as failure
- Whether or not we have time or resources for backtracking, organizational culture might prohibit it. We push ahead because backtracking feels like failure, even when it's the only path to success.
- Short term cost bump
- Immediately after backtracking, the cost per unit of delivered capability jumps, because cost has risen, while capability hasn't. Capability might even decline. To some, that can seem more important than enabling future success.
- Backtracking costs real money
- Backtracking takes time and effort. Even when the cost is small,
the short-term return on
backtracking is negativeEven when the cost is small, short-term return is negative. We're paying to go backwards. - Customer expectations
- Sometimes backtracking upsets customers, who have become accustomed to a steady stream of forward progress. It can be difficult to explain the need to redevelop something customers are already happy with.
With astonishing frequency, when we pause and ask, "How would we do this if we were starting over, knowing what we now know?" the answer is both novel and elegant. When we can find the resources and the will to backtrack enough to use what we've learned, our solutions are more durable, more effective and longer-lived. 
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Related articles
More articles on Problem Solving and Creativity:
Problem-Solving Ambassadors- In dispersed teams, we often hold meetings to which we send delegations to work out issues of mutual
interest. These working sessions are a mix of problem solving and negotiation. People who are masters
of both are problem-solving ambassadors, and they're especially valuable to dispersed or global teams.
Assumptions and the Johari Window: I- The roots of both creative and destructive conflict can often be traced to differing assumptions of
the parties to the conflict. Working out these differences is a lot easier when we know what everyone's
assumptions are.
Virtual Teams Need Generous Travel Budgets- Although virtual team members who happen to be co-located do meet from time to time, meetings of people
who reside at different sites are often severely restricted by tight or nonexistent travel budgets.
Such restrictions, intended to save money, can contribute to expensive delays and errors.
Newtonian Blind Alleys: II- Some of our decisions don't turn out well. The nature of our errors does vary, but a common class of
errors is due to applying concepts from physics originated by Isaac Newton. One of these is the concept
of spectrum.
Disproof of Concept- Proof-of-concept studies of system designs usually try to devise solution options and discover the system's
operating constraints. But limitations can become clear too late. A different approach — disproof
of concept — can be a useful alternative.
See also Problem Solving and Creativity for more related articles.
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