Probing Unknown Unknowns

In the post “Risk Management is about reducing uncertainty,” I discussed ignorance and surprise, covering the idea of “unknown unknowns”, those things that we don’t even know that we don’t know.

Our goal should always be to reduce ignorance. Many unknown unknowns are just things no one has bothered to find out. What we need to do is ensure our processes and systems are constructed so that they recognize unknowns.

There are six factors that need to be explored to find the unknown unknowns.

  1. Complexity: A complex process/system/project contains many interacting elements that increase the variety of its possible behaviors and results. Complexity increases with the number, variety, and lack of robustness of the elements of the process, system or project.
  2. Complicatedness: A complicated process/system/project involves many points of failure, the ease of finding necessary elements and identifying cause-and-effect relationships; and the experts/participants aptitudes and experiences.
  3. Dynamism: The volatility or the propensity of elements and relationships to change.
  4. Equivocality: Knowledge management is a critical enabler of product and project life cycle management. If the information is not crisp and specific, then the people who receive it will be equivocal and won’t be able to make firm decisions. Although imprecise information itself can be a known unknown, equivocality increases both complexity and complicatedness. 
  5. Perceptive barriers: Mindlessness. This factor includes a lot of our biases, including an over-reliance on past experiences and traditions, the inability to detect weak signals and ignoring input that is inconvenient or unappealing.
  6. Organizational pathologies: Organizations have problems, culture can have weaknesses. These structural weaknesses allow unknown unknowns to remain hidden.
Interrogating Knowable Unknown Unknowns

The way to address these six factors is to evaluate and challenge by using the following approaches:

Interviewing

Interviews with stakeholders, subject matter experts and other participants can be effective tools for uncovering lurking problems and issues. Interviewers need to be careful not to be too enthusiastic about the projects they’re examining and not asking “yes or no” questions. The best interviews probe deep and wide.

Build Knowledge by Decomposing the System/Process/Project

Standard root cause analysis tools apply here, break it down and interrogate all the subs.

  1. Identifying the goals, context, activities and cause-effect relationships
  2. Breaking the domains into smaller elements — such as processes, tasks and stakeholders
  3. Examining the complexity and uncertainty of each element to identify the major risks (known unknowns) that needed managing and the knowledge gaps that pointed to areas of potential unknown unknowns.

Analyze Scenarios

Construct several different future outlooks and test them out (mock exercises are great). This approach accepts uncertainty, tries to understand it and builds it into the your knowledge base and reasoning. Rather than being predictions, scenarios are coherent and credible alternative futures built on dynamic events and conditions that are subject to change.

Communicate Frequently and Effectively

Regularly and systematically reviewing decision-making and communication processes, including the assumptions that are factored into the processes, and seeking to remove information asymmetries, can help to anticipate and uncover known unknowns. Management Review is part of this, but not the only component. Effective and frequent communication is essential for adaptability and agility. However, this doesn’t necessarily mean communicating large volumes of information, which can cause information overload. Rather, the key is knowing how to reach the right people at the right times. Some important aspects include:

  • Candor: Timely and honest communication of missteps, anomalies and missing competencies. Offer incentives for candor to show people that there are advantages to owning up to errors or mistakes in time for management to take action. It is imperative to eliminate any perverse incentives that induce people to ignore emerging risks.
  • Cultivate an Alert Culture: A core part of a quality culture should be an alert culture made up of people who strive to illuminate rather than hide potential problems. Alertness is built by: 1) emphasizing systems thinking; 2) seek to include and build a wide range of experiential expertise — intuitions, subtle understandings and finely honed reflexes gained through years of intimate interaction with a particular natural, social or technological system; and 3) learn from surprising outcomes.

By working to evaluate and challenge, to truly understand our systems and processes, our risk management activities will be more effective and truly serve to make our systems resilient.

Recommended Reading

Risk Management is about reducing uncertainty

Risk Management is all about eliminating surprise. So to truly start to understand our risks, we need to understand uncertainty, we need to understand the unknowns. Borrowing from Andreas Schamanek’s Taxonomies of the unknown, let’s explore a few of the various taxonomies of what is not known.

Ignorance Map

I’m pretty sure Ann Kerwin first gave us the “known unknowns” and the “unknown knowns” that people still find a source of amusement about former defense secretary Rumsfield.

KnownUnknown
KnownKnown knowns Known unknowns (conscious ignorance)
Unknown Unknown knowns (tacit knowledge) Unknown unknowns (meta-ignorance)

Understanding uncertainty involves knowledge management, this is why a rigorous knowledge management program is a prerequisite for an effective quality management system.

Risk management is then a way of teasing out the unknowns and allowing us to take action:

  1. Risk assessments mostly easily focus on the ignorance that we are aware of, the ‘known unknowns’.
  2. Risk assessments can also serve as a tool of teasing out the ‘unknown knowns’. This is why participation of subject matter experts is so critical. Through the formal methodology of the risk assessment we expose and explore tacit knowledge.
  3. The third kind of ignorance is what we do now know we do not know, the ‘unknown unknowns’. We generally become aware of unknown unknowns in two ways: hindsight (deviations) and by purposefully expanding our horizons. This expansion includes diversity and also good experimentation. It is the hardest, but perhaps, most valuable part of risk management.

Taxonomy of Ignorance

Different Kinds of Unknowns, Source: Smithson (1989, p. 9); also in Bammer et al. (2008, p. 294).

Smithson distinguishes between passive and active ignorance. Passive ignorance involves areas that we are ignorant of, whereas active ignorance refers to areas we ignore. He uses the term ‘error’ for the unknowns encompassed by passive ignorance and ‘irrelevance’ for active ignorance.

Taboo is fascinating because it gets to the heart of our cultural blindness, those parts of our organization that are closed to scrutiny.

Smithson can help us understand why risk assessments are both a qualitative and a quantitative endeavor. While dealing with the unknown is the bread and butter of statistics, only a small part of the terrain of uncertainty is covered. Under Smithson’s typology, statistics primarily operates in the area of incompleteness, across probability and some kinds of vagueness. In terms of its considerations of sampling bias, statistics also has some overlap with inaccuracy. But, as the typology shows, there is much more to unknowns than the areas statistics deals with. This is another reason that subject matter experts, and different ways of thinking is a must.

Ensuring wide and appropriate expert participation gives additional perspectives on unknowns. There is also synergies by finding unrecognized similarities between disciplines and stakeholders in the unknowns they deal with and there may be great benefit from combining forces. It is important to use these concerns to enrich thinking about unknowns, rather than ruling them out as irrelevant.

Sources of Surprise

Risk management is all about managing surprise. It helps to break surprise down to three types: risk, uncertainty and ignorance.

  • Risk: The condition in which the event, process, or outcomes and the probability that each will occur is known.
    • Issue: In reality, complete knowledge of probabilities and range of potential outcomes or consequences is not usually known and is sometimes unknowable.
  • Uncertainty: The condition in which the event, process, or outcome is known (factually or hypothetically) but the probabilities that it will occur are not known.
    • Issue: The probabilities assigned, if any, are subjective, and ways to establish reliability for different subjective probability estimates are debatable.
  • Ignorance: The condition in which the event, process, or outcome is not known or expected.
    • Issue: How can we anticipate the unknown, improve the chances of anticipating, and, therefore, improve the chances of reducing vulnerability?

Effective use of the methodology moves ideally from ignorance to eventually risk.


Ignorance

DescriptionMethods of Mitigation
Closed Ignorance
Information is available but SMEs are unwilling or unable to consider that some outcomes are unknown to them.

Self-audit process, regular third-party audits, and open and transparent system with global participation
Open Ignorance
Information is available and SMEs are willing to recognize and consider that some outcomes are unknown.
Personal
Surprise occurs because an individual SME lacks knowledge or awareness of the available information.

effective teams xxplore multiple perspectives by including a diverse set of individuals and data sources for data gathering and analysis.

Transparency in process.
Communal
Surprise occurs because a group of SMEs has only similar viewpoints represented or may be less willing to consider views outside the community.
Diversity of viewpoints and sue of tools to overcome group-think and “tribal” knowledge
Novelty
Surprise occurs because the SMEs are unable to anticipate and prepare for external shocks or internal changes in preferences, technologies, and institutions.

Simulating impacts and gaming alternative outcomes of various potentials under different conditions
(Blue Team/Read Team exercises)
Complexity
Surprise occurs when inadequate forecasting tools are used to analyze the available data, resulting in inter-relationships, hidden dependencies, feedback loops, and other negative factors that lead to inadequate or incomplete understanding of the data.
System Thinking


Track changes and interrelationships of various systems to discover potential macro-effect force changes
12-Levers


Risk Management is all about understanding surprise and working to reduce uncertainty and ignorance in order to reduce, eliminate and sometimes accept. As a methodology it is effective at avoiding surrender and denial. With innovation we can even contemplate exploitation. As organizations mature, it is important to understand these concepts and utilize them.

References

  • Gigerenzer, Gerd and Garcia-Retamero, Rocio. Cassandra’s Regret: The Psychology of Not Wanting to Know (March 2017), Psychological Review, 2017, Vol. 124, No. 2, 179–196.
  • House, Robert J., Paul J. Hanges, Mansour Javidan, Peter Dorfman, and Vipin Gupta, eds. 2004. Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies. Thousand Oaks, Calif.: Sage Publications.
  • Kerwin, A. (1993). None Too Solid: Medical Ignorance. Knowledge, 15(2), 166–185.
  • Smithson, M. (1989) Ignorance and Uncertainty: Emerging Paradigms, New York: Springer-Verlag.
  • Smithson, M. (1993) “Ignorance and Science”, Knowledge: Creation, Diffusion, Utilization, 15(2) December: 133-156.