bikeshedding

What Is Bikeshedding And Why It Matters In Business

Bikeshedding is a metaphor that describes the tendency for individuals to spend a disproportionate amount of time on trivial matters – often at the expense of more important ones.

AspectExplanation
DefinitionBikeshedding, also known as Parkinson’s Law of Triviality, is a term coined by C. Northcote Parkinson to describe the tendency for organizations or groups to spend disproportionate amounts of time and energy on trivial or relatively unimportant matters while neglecting more significant issues. The term originates from a fictional scenario where a committee tasked with approving plans for a nuclear power plant spends a significant amount of time discussing the design and color of a simple bikeshed on the plant premises while barely touching upon the complex technical aspects of the nuclear facility. Bikeshedding highlights the human tendency to focus on easily understandable or relatable topics, even if they have minimal impact or relevance to the overall objective. This phenomenon can hinder productivity, waste resources, and lead to misallocation of attention and effort. Understanding and mitigating bikeshedding can improve decision-making and project management in organizations.
Key ConceptsParkinson’s Law of Triviality: Bikeshedding is often associated with Parkinson’s Law of Triviality, which suggests that people tend to give disproportionate attention to trivial matters because they are easier to understand and discuss. – Focus on Simplicity: Bikeshedding occurs when people gravitate toward simple or familiar topics rather than complex or unfamiliar ones. – Group Dynamics: Group dynamics can exacerbate bikeshedding, as individuals may compete for attention and recognition by proposing and discussing trivial matters. – Opportunity Cost: The time and energy spent bikeshedding represent an opportunity cost, as it detracts from addressing more critical issues. – Decision-Making Bias: Bikeshedding reflects a cognitive bias toward topics that are easily comprehensible or relatable, even when they are less important.
CharacteristicsDisproportionate Attention: Bikeshedding involves giving excessive attention to minor issues compared to major ones. – Simplicity Bias: Trivial matters are often favored over complex ones due to their simplicity and familiarity. – Time-Consuming: Bikeshedding discussions can consume a significant amount of time in meetings and discussions. – Ineffectiveness: It can lead to ineffective decision-making and resource allocation. – Common Occurrence: Bikeshedding is a common phenomenon in group settings where decisions are made collectively.
ImplicationsResource Misallocation: Bikeshedding can lead to the misallocation of time, effort, and resources on unimportant matters. – Productivity Loss: It can reduce overall productivity as valuable time is spent on trivial discussions. – Decision Delays: Focusing on bikeshedding can delay important decisions and project progress. – Frustration: Team members may become frustrated when they see valuable time wasted on trivial matters. – Undermined Leadership: Leaders may lose credibility if they fail to manage bikeshedding effectively, leading to a lack of trust and respect.
AdvantagesClarity: Discussing trivial matters can provide clarity and shared understanding among team members. – Inclusivity: Bikeshedding discussions can make team members feel included and heard. – Conflict Resolution: Resolving trivial conflicts can improve team dynamics. – Learning Opportunity: Bikeshedding may present a learning opportunity for team members to understand the reasoning behind certain decisions. – Attention to Detail: It can ensure that small, but potentially significant, issues are not overlooked.
DrawbacksResource Drain: Bikeshedding consumes valuable time and resources that could be better spent on important matters. – Frustration: Team members can become frustrated with prolonged discussions on trivial topics. – Decision Delays: Important decisions may be delayed due to excessive focus on bikeshedding. – Ineffectiveness: It can lead to ineffective use of meeting time and organizational resources. – Missed Opportunities: The fixation on trivial matters can cause missed opportunities in addressing more critical issues.
ApplicationsProject Management: Bikeshedding can occur in project management when team members spend too much time discussing minor project details while neglecting critical milestones. – Organizational Decision-Making: In organizations, bikeshedding can affect decision-making processes in board meetings, committees, and working groups. – Product Development: Teams working on product development may fall into bikeshedding traps when deciding on product features or design elements. – Policy Development: Government bodies and policy-making committees may experience bikeshedding when crafting legislation or regulations. – Team Collaboration: Bikeshedding can also occur in everyday team collaborations and brainstorming sessions.
Use CasesSoftware Development: In a software development project, team members may spend an excessive amount of time discussing the naming conventions for variables rather than addressing critical bugs or performance issues. – Architectural Design: In architectural projects, debates about the color scheme or minor design elements can overshadow discussions about structural integrity or building functionality. – Meeting Discussions: During meetings, team members may engage in lengthy discussions about minor agenda items while leaving major decisions unaddressed. – Policy Debates: In government, legislative bodies may focus on relatively minor aspects of a proposed policy while neglecting its overall impact or effectiveness. – Product Feature Selection: In a product development team, discussions about small feature additions can dominate discussions, delaying the release of more substantial improvements or updates.

Understanding bikeshedding

Bikeshedding is based on Parkinson’s Law of Triviality, named after British author and historian Cyril Northcote Parkinson.

In his description of the law, Parkinson used the example of a committee meeting discussing ways to finance three projects:

  • A £10 million nuclear power plant.
  • A £350 bike shed.
  • A £21 annual coffee budget.

The meeting starts with members discussing nuclear energy, but most are ill-informed and the project seems too complex to facilitate meaningful discussion. The committee then moves on to the bike shed and since many ride to work, there is more animated discussion regarding its financing. Lastly, the coffee budget is discussed. Everyone drinks coffee, so the colleagues spend the rest of the meeting talking about their favorite blends and the allocation of just £21.

At the conclusion of the meeting, nothing of significance has been achieved.

Parkinson summed up the results of the meeting by defining his law. Parkinson’s Law of Triviality states that the amount of time devoted to a task is inversely proportional to its importance. In other words, organizations devote large amounts of time to tasks that bear little significance to their bottom line. 

Indeed, bikeshedding is a pervasive and well-entrenched problem in most businesses. A seemingly infinite amount of time is spent replying to emails and sitting in meetings that don’t seem to accomplish much. Ultimately, these somewhat menial tasks consume resources that could be better directed to major projects with a greater potential to move the company forward.

Common examples of bikeshedding in business

Although most commonly associated with meetings, bikeshedding can occur in other scenarios, including:

  • Depth of experience – where a board of directors spends more time discussing executive compensation than it does dealing with potentially damaging risks to their organization.
  • Creativity and charisma – where employees spends time on creative projects or social media to the detriment of important financial or operational duties.
  • Broken window theory – where a business may complain about finding suitably qualified employees instead of addressing poor company culture or a lack of appropriate remuneration.

Strategies for avoiding bikeshedding

Many advocate purpose as an essential ingredient in combating bikeshedding.

In the context of business meetings, purpose means that:

  • Discussions are focused around a shared or common vision.
  • Meetings are attended by those with relevant expertise. Personnel with little background knowledge should not be invited. They will have nothing of note to contribute and often distract those who do, impeding progress.
  • A person is tasked with leading the committee and making a final determination. Leadership is vital because leaders decide how important a given project is and by extension, how much time or resources should be allocated. Leaders can also set time limits on decisions so that progress is made.

Key takeaways

  • Bikeshedding is based on Parkinson’s Law of Triviality, which states that the amount of time given to a task is inversely proportional to its overall importance.
  • Bikeshedding is common in business. It has the potential to hinder major project development and diverts resources away from tasks crucial to company viability.
  • Bikeshedding in meetings can largely be avoided by ensuring that those in attendance have the requisite experience. Leaders can also be appointed to assist in decisions being made that align with company goals and visions.

Key Highlights

  • Definition: Bikeshedding refers to the phenomenon where individuals or groups spend a disproportionate amount of time and energy discussing trivial or insignificant matters, often at the expense of more important issues.
  • Parkinson’s Law of Triviality: Bikeshedding is rooted in Parkinson’s Law of Triviality, proposed by Cyril Northcote Parkinson. The law suggests that people tend to focus more on simple, easily understandable issues (like a bike shed’s color) than complex ones (like a nuclear power plant), regardless of their actual importance.
  • Example: Parkinson’s example of a committee meeting illustrates this concept. In a discussion about financing projects, the majority of time was spent debating the cost of a bike shed and the coffee budget, while the more significant matter of a nuclear power plant received less attention.
  • Impact in Business: Bikeshedding is a common problem in businesses where time and resources are allocated inefficiently to minor tasks, leaving less for vital projects that could drive growth.
  • Common Examples: Bikeshedding can occur in various business scenarios beyond meetings. It might involve excessive attention to less critical matters such as executive compensation, creative projects, social media, or focusing on easier aspects while neglecting core issues.
  • Avoidance Strategies: To combat bikeshedding, it’s essential to prioritize purpose and focus in discussions and decision-making processes:
    • Shared Vision: Discussions should center around a common goal or vision, keeping everyone aligned and focused on the bigger picture.
    • Relevant Expertise: Attendees in meetings should possess relevant expertise. Inexperienced individuals can derail meaningful conversations and hinder progress.
    • Effective Leadership: Appointing a leader to guide discussions and make final decisions is crucial. Leaders help gauge the importance of tasks, allocate resources appropriately, and set time limits to ensure progress.

Framework NameDescriptionWhen to Apply
Parkinson’s Law of Triviality– Also known as Bikeshedding, it suggests that people tend to give disproportionate weight to trivial issues while neglecting more important ones.During project meetings or discussions to identify and address instances where attention is focused excessively on minor details rather than critical aspects.
Hofstadter’s Law– States that tasks always take longer than expected, even when accounting for Hofstadter’s Law itself. Bikeshedding can contribute to this phenomenon by consuming time on less significant matters.When planning projects or setting deadlines, considering the impact of Bikeshedding on task estimation and overall project timelines.
Parkinson’s Law– Asserts that work expands to fill the time available for its completion. Bikeshedding can lead to time wasted on trivial matters, contributing to the expansion of work beyond necessary bounds.When managing time and resources, being mindful of how Bikeshedding can impact project efficiency and productivity.
Decision Fatigue– The more decisions individuals make, the more fatigued they become, leading to poorer decision quality. Bikeshedding can exacerbate decision fatigue by introducing unnecessary choices or discussions.When organizing meetings or collaborative sessions, minimizing Bikeshedding to prevent decision fatigue and maintain focus on essential topics.
Eisenhower Matrix– A prioritization framework that categorizes tasks based on their urgency and importance. Bikeshedding often leads to prioritizing urgent but unimportant tasks over important ones.When managing tasks or projects, using the Eisenhower Matrix to differentiate between Bikeshedding-related activities and those crucial to project success.
Attention Management– Focuses on managing attention and mental resources effectively to enhance productivity and mitigate distractions, including Bikeshedding.When organizing work or personal tasks, employing attention management techniques to minimize the impact of Bikeshedding and maintain focus on critical objectives.

Connected Thinking Frameworks

Convergent vs. Divergent Thinking

convergent-vs-divergent-thinking
Convergent thinking occurs when the solution to a problem can be found by applying established rules and logical reasoning. Whereas divergent thinking is an unstructured problem-solving method where participants are encouraged to develop many innovative ideas or solutions to a given problem. Where convergent thinking might work for larger, mature organizations where divergent thinking is more suited for startups and innovative companies.

Critical Thinking

critical-thinking
Critical thinking involves analyzing observations, facts, evidence, and arguments to form a judgment about what someone reads, hears, says, or writes.

Biases

biases
The concept of cognitive biases was introduced and popularized by the work of Amos Tversky and Daniel Kahneman in 1972. Biases are seen as systematic errors and flaws that make humans deviate from the standards of rationality, thus making us inept at making good decisions under uncertainty.

Second-Order Thinking

second-order-thinking
Second-order thinking is a means of assessing the implications of our decisions by considering future consequences. Second-order thinking is a mental model that considers all future possibilities. It encourages individuals to think outside of the box so that they can prepare for every and eventuality. It also discourages the tendency for individuals to default to the most obvious choice.

Lateral Thinking

lateral-thinking
Lateral thinking is a business strategy that involves approaching a problem from a different direction. The strategy attempts to remove traditionally formulaic and routine approaches to problem-solving by advocating creative thinking, therefore finding unconventional ways to solve a known problem. This sort of non-linear approach to problem-solving, can at times, create a big impact.

Bounded Rationality

bounded-rationality
Bounded rationality is a concept attributed to Herbert Simon, an economist and political scientist interested in decision-making and how we make decisions in the real world. In fact, he believed that rather than optimizing (which was the mainstream view in the past decades) humans follow what he called satisficing.

Dunning-Kruger Effect

dunning-kruger-effect
The Dunning-Kruger effect describes a cognitive bias where people with low ability in a task overestimate their ability to perform that task well. Consumers or businesses that do not possess the requisite knowledge make bad decisions. What’s more, knowledge gaps prevent the person or business from seeing their mistakes.

Occam’s Razor

occams-razor
Occam’s Razor states that one should not increase (beyond reason) the number of entities required to explain anything. All things being equal, the simplest solution is often the best one. The principle is attributed to 14th-century English theologian William of Ockham.

Lindy Effect

lindy-effect
The Lindy Effect is a theory about the ageing of non-perishable things, like technology or ideas. Popularized by author Nicholas Nassim Taleb, the Lindy Effect states that non-perishable things like technology age – linearly – in reverse. Therefore, the older an idea or a technology, the same will be its life expectancy.

Antifragility

antifragility
Antifragility was first coined as a term by author, and options trader Nassim Nicholas Taleb. Antifragility is a characteristic of systems that thrive as a result of stressors, volatility, and randomness. Therefore, Antifragile is the opposite of fragile. Where a fragile thing breaks up to volatility; a robust thing resists volatility. An antifragile thing gets stronger from volatility (provided the level of stressors and randomness doesn’t pass a certain threshold).

Systems Thinking

systems-thinking
Systems thinking is a holistic means of investigating the factors and interactions that could contribute to a potential outcome. It is about thinking non-linearly, and understanding the second-order consequences of actions and input into the system.

Vertical Thinking

vertical-thinking
Vertical thinking, on the other hand, is a problem-solving approach that favors a selective, analytical, structured, and sequential mindset. The focus of vertical thinking is to arrive at a reasoned, defined solution.

Maslow’s Hammer

einstellung-effect
Maslow’s Hammer, otherwise known as the law of the instrument or the Einstellung effect, is a cognitive bias causing an over-reliance on a familiar tool. This can be expressed as the tendency to overuse a known tool (perhaps a hammer) to solve issues that might require a different tool. This problem is persistent in the business world where perhaps known tools or frameworks might be used in the wrong context (like business plans used as planning tools instead of only investors’ pitches).

Peter Principle

peter-principle
The Peter Principle was first described by Canadian sociologist Lawrence J. Peter in his 1969 book The Peter Principle. The Peter Principle states that people are continually promoted within an organization until they reach their level of incompetence.

Straw Man Fallacy

straw-man-fallacy
The straw man fallacy describes an argument that misrepresents an opponent’s stance to make rebuttal more convenient. The straw man fallacy is a type of informal logical fallacy, defined as a flaw in the structure of an argument that renders it invalid.

Streisand Effect

streisand-effect
The Streisand Effect is a paradoxical phenomenon where the act of suppressing information to reduce visibility causes it to become more visible. In 2003, Streisand attempted to suppress aerial photographs of her Californian home by suing photographer Kenneth Adelman for an invasion of privacy. Adelman, who Streisand assumed was paparazzi, was instead taking photographs to document and study coastal erosion. In her quest for more privacy, Streisand’s efforts had the opposite effect.

Heuristic

heuristic
As highlighted by German psychologist Gerd Gigerenzer in the paper “Heuristic Decision Making,” the term heuristic is of Greek origin, meaning “serving to find out or discover.” More precisely, a heuristic is a fast and accurate way to make decisions in the real world, which is driven by uncertainty.

Recognition Heuristic

recognition-heuristic
The recognition heuristic is a psychological model of judgment and decision making. It is part of a suite of simple and economical heuristics proposed by psychologists Daniel Goldstein and Gerd Gigerenzer. The recognition heuristic argues that inferences are made about an object based on whether it is recognized or not.

Representativeness Heuristic

representativeness-heuristic
The representativeness heuristic was first described by psychologists Daniel Kahneman and Amos Tversky. The representativeness heuristic judges the probability of an event according to the degree to which that event resembles a broader class. When queried, most will choose the first option because the description of John matches the stereotype we may hold for an archaeologist.

Take-The-Best Heuristic

take-the-best-heuristic
The take-the-best heuristic is a decision-making shortcut that helps an individual choose between several alternatives. The take-the-best (TTB) heuristic decides between two or more alternatives based on a single good attribute, otherwise known as a cue. In the process, less desirable attributes are ignored.

Bundling Bias

bundling-bias
The bundling bias is a cognitive bias in e-commerce where a consumer tends not to use all of the products bought as a group, or bundle. Bundling occurs when individual products or services are sold together as a bundle. Common examples are tickets and experiences. The bundling bias dictates that consumers are less likely to use each item in the bundle. This means that the value of the bundle and indeed the value of each item in the bundle is decreased.

Barnum Effect

barnum-effect
The Barnum Effect is a cognitive bias where individuals believe that generic information – which applies to most people – is specifically tailored for themselves.

First-Principles Thinking

first-principles-thinking
First-principles thinking – sometimes called reasoning from first principles – is used to reverse-engineer complex problems and encourage creativity. It involves breaking down problems into basic elements and reassembling them from the ground up. Elon Musk is among the strongest proponents of this way of thinking.

Ladder Of Inference

ladder-of-inference
The ladder of inference is a conscious or subconscious thinking process where an individual moves from a fact to a decision or action. The ladder of inference was created by academic Chris Argyris to illustrate how people form and then use mental models to make decisions.

Goodhart’s Law

goodharts-law
Goodhart’s Law is named after British monetary policy theorist and economist Charles Goodhart. Speaking at a conference in Sydney in 1975, Goodhart said that “any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes.” Goodhart’s Law states that when a measure becomes a target, it ceases to be a good measure.

Six Thinking Hats Model

six-thinking-hats-model
The Six Thinking Hats model was created by psychologist Edward de Bono in 1986, who noted that personality type was a key driver of how people approached problem-solving. For example, optimists view situations differently from pessimists. Analytical individuals may generate ideas that a more emotional person would not, and vice versa.

Mandela Effect

mandela-effect
The Mandela effect is a phenomenon where a large group of people remembers an event differently from how it occurred. The Mandela effect was first described in relation to Fiona Broome, who believed that former South African President Nelson Mandela died in prison during the 1980s. While Mandela was released from prison in 1990 and died 23 years later, Broome remembered news coverage of his death in prison and even a speech from his widow. Of course, neither event occurred in reality. But Broome was later to discover that she was not the only one with the same recollection of events.

Crowding-Out Effect

crowding-out-effect
The crowding-out effect occurs when public sector spending reduces spending in the private sector.

Bandwagon Effect

bandwagon-effect
The bandwagon effect tells us that the more a belief or idea has been adopted by more people within a group, the more the individual adoption of that idea might increase within the same group. This is the psychological effect that leads to herd mentality. What in marketing can be associated with social proof.

Moore’s Law

moores-law
Moore’s law states that the number of transistors on a microchip doubles approximately every two years. This observation was made by Intel co-founder Gordon Moore in 1965 and it become a guiding principle for the semiconductor industry and has had far-reaching implications for technology as a whole.

Disruptive Innovation

disruptive-innovation
Disruptive innovation as a term was first described by Clayton M. Christensen, an American academic and business consultant whom The Economist called “the most influential management thinker of his time.” Disruptive innovation describes the process by which a product or service takes hold at the bottom of a market and eventually displaces established competitors, products, firms, or alliances.

Value Migration

value-migration
Value migration was first described by author Adrian Slywotzky in his 1996 book Value Migration – How to Think Several Moves Ahead of the Competition. Value migration is the transferal of value-creating forces from outdated business models to something better able to satisfy consumer demands.

Bye-Now Effect

bye-now-effect
The bye-now effect describes the tendency for consumers to think of the word “buy” when they read the word “bye”. In a study that tracked diners at a name-your-own-price restaurant, each diner was asked to read one of two phrases before ordering their meal. The first phrase, “so long”, resulted in diners paying an average of $32 per meal. But when diners recited the phrase “bye bye” before ordering, the average price per meal rose to $45.

Groupthink

groupthink
Groupthink occurs when well-intentioned individuals make non-optimal or irrational decisions based on a belief that dissent is impossible or on a motivation to conform. Groupthink occurs when members of a group reach a consensus without critical reasoning or evaluation of the alternatives and their consequences.

Stereotyping

stereotyping
A stereotype is a fixed and over-generalized belief about a particular group or class of people. These beliefs are based on the false assumption that certain characteristics are common to every individual residing in that group. Many stereotypes have a long and sometimes controversial history and are a direct consequence of various political, social, or economic events. Stereotyping is the process of making assumptions about a person or group of people based on various attributes, including gender, race, religion, or physical traits.

Murphy’s Law

murphys-law
Murphy’s Law states that if anything can go wrong, it will go wrong. Murphy’s Law was named after aerospace engineer Edward A. Murphy. During his time working at Edwards Air Force Base in 1949, Murphy cursed a technician who had improperly wired an electrical component and said, “If there is any way to do it wrong, he’ll find it.”

Law of Unintended Consequences

law-of-unintended-consequences
The law of unintended consequences was first mentioned by British philosopher John Locke when writing to parliament about the unintended effects of interest rate rises. However, it was popularized in 1936 by American sociologist Robert K. Merton who looked at unexpected, unanticipated, and unintended consequences and their impact on society.

Fundamental Attribution Error

fundamental-attribution-error
Fundamental attribution error is a bias people display when judging the behavior of others. The tendency is to over-emphasize personal characteristics and under-emphasize environmental and situational factors.

Outcome Bias

outcome-bias
Outcome bias describes a tendency to evaluate a decision based on its outcome and not on the process by which the decision was reached. In other words, the quality of a decision is only determined once the outcome is known. Outcome bias occurs when a decision is based on the outcome of previous events without regard for how those events developed.

Hindsight Bias

hindsight-bias
Hindsight bias is the tendency for people to perceive past events as more predictable than they actually were. The result of a presidential election, for example, seems more obvious when the winner is announced. The same can also be said for the avid sports fan who predicted the correct outcome of a match regardless of whether their team won or lost. Hindsight bias, therefore, is the tendency for an individual to convince themselves that they accurately predicted an event before it happened.

Read Next: BiasesBounded RationalityMandela EffectDunning-Kruger EffectLindy EffectCrowding Out EffectBandwagon Effect.

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