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01 · Welcome and Introduction
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02 · The Pieces and the Evidence
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03 · Constraints and Principles
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04 · Rebuilding the Process
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05 · Comparing and Testing Ideas
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06 · Facilitation and Scope
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07 · Business Process Cases
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08 · Capstone and Application
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09 · Participant workbook and resources
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10 · Optional application coaching
2.2 · Build an evidence ledger
Chapter 2: The Pieces and the Evidence
Watch the chapter or work through its reading pages at your own pace.
Chapter 2 follow-along PDF · Development edition. This chapter’s PDF may be updated with future revisions.
Reading pages in this chapter
Chapter 2 · Page 1 of 2
Decompose functions before drawing the future process
Learning objective: Separate necessary functions from the roles, tools and sequence used today.
BrightPath: take apart a service, then examine its properties
BrightPath is our fictional advisory-service case. The intended outcome is guidance that fits the client’s situation and leaves them with a usable next step. A meeting is one possible delivery method. First examine what the service must accomplish.
A part is something you can identify in the service; a property is an attribute of that part; a function is what it must accomplish. Decompose the service into parts, then examine their properties. Properties are not smaller components. Mark each property as observed, assumed or required, and give it an evidence source or a check.
| Part | Properties to examine | Function and evidence question |
|---|---|---|
| Client’s question | Specificity, ambiguity and the decision involved | Establish the need. Can the client and adviser explain the same intended outcome? |
| Supporting context | Relevance, accuracy, freshness and missing information | Establish applicability. Which missing fact could change the advice, and how will it be checked? |
| Adviser capability | Relevant knowledge, experience, scope and limits | Provide competent guidance. What evidence supports this adviser’s fit to this particular need? |
| Communication channel | Accessibility, privacy and ability to clarify | Exchange meaning. Can the intended users resolve ambiguity through this channel? |
| Recommendation | Explainable fit, assumptions and understandable next steps | Support the client’s decision. Can they explain when the advice applies and what to do next? |
| Follow-up commitment | Owner, trigger and completion condition | Close the loop. Who acts, when, and what evidence shows the commitment is fulfilled? |
These are investigation prompts, not verified properties of a real service. Examine people’s relevant capabilities and interactions without treating people as interchangeable components. Reconnect the parts: an apparently sound recommendation may still fail if the context is wrong, the client cannot understand it, or nobody owns the promised follow-up.
Apply it in W3: choose two rows. Record the property, its status and basis, the necessary function, a dependency and an exception. Propose two different mechanisms that could perform the function. Carry uncertain claims to W2 rather than treating them as established facts.
A current-state map helps locate evidence and pain points. It is not the foundation of the future design. If the team starts by redrawing its swimlanes, it can preserve the same handoffs with new names. First list what must be accomplished, without assigning those functions to departments.
For a request-to-decision process, functions might include identifying the requester, understanding the need, determining eligibility, establishing authority, deciding, communicating the outcome and retaining the required evidence. “Finance signs the spreadsheet” combines a function, an actor and a tool. The underlying function may be establishing spending authority, confirming a budget, or something else. Ask the owner which risk the signature controls.
Decompose until each function has an identifiable input, transformation or decision, and output. A function is too broad if no one can explain what evidence would show it happened. It is too detailed for the current exercise if further decomposition cannot change the design choice or the test.
Distinguish logical dependency from historical sequence. A final eligibility decision depends on sufficient eligibility evidence. Identity and service-capacity checks might run independently. That possibility remains a hypothesis until information dependencies and exception behavior are understood. Parallel work is not automatically better if it creates excessive rework.
Use three questions at each step: What outcome becomes impossible without this function? Which other function needs its output? Could a different actor, time, channel or mechanism deliver that output? Retain a function whose necessity is supported. Put an uncertain function in the evidence ledger instead of deleting it by enthusiasm.
Include the failure path. A sound design knows what happens when information is missing, authority is disputed or a request is rejected. Exception handling is part of the service, not a footnote added after the attractive flow is drawn.
Duncker’s candle problem: seeing a new function
Try before revealing the solution. This is Colabmo’s classroom adaptation of the candle problem associated with Karl Duncker’s research on functional fixedness. Imagine a candle, four loose thumbtacks, a larger sliding matchbox containing matches and a vertical cork board above a table. Using those supplies, propose a way to support the candle on the board so that wax would not drip onto the table. Sketch your idea; do not light a candle or build a live-fire demonstration.
Spend two minutes on your own. Record your first interpretation of each object, then list the functions needed: support the candle, attach that support to the board and catch drips. If you already know the answer, explain the shift in reasoning without revealing it to others.
Reveal the solution and reasoning
Remove the matchbox drawer, empty it, fasten its rear wall to the board and use its upward-facing tray as a support for the candle. The box changes from a container for matches into a platform and drip tray. The drawing illustrates the conceptual solution; it is not a tested candle holder.
Functional fixedness is the difficulty of seeing a use beyond an object’s familiar role. Describing the box only as “where the matches belong” can hide properties that enable another function: a flat base, sides and a surface that can be attached.
Transfer the insight to a business process
“The spreadsheet is our approval process” can conceal several functions: collecting evidence, identifying an authorized decision-maker, recording a decision and communicating it. A spreadsheet is one possible mechanism. Each function still needs a credible owner, evidence and an exception path if the mechanism changes.
In W3, record one familiar label you challenged, the function underneath it, an alternative mechanism and the evidence needed to judge that alternative. Distinguish a constraint in the task from a constraint you supplied yourself.
Evidence boundary: this activity illustrates a reasoning obstacle. It does not diagnose intelligence, establish a participant’s competence, or demonstrate that an FPT workshop improves business results. Familiarity with the puzzle affects the activity. Duncker’s work and Adamson’s later repetition are research sources; our simplified prompt is not an exact replication.
Sources: Karl Duncker, On Problem-Solving (1945 English publication); R. E. Adamson, Functional fixedness as related to problem solving: a repetition of three experiments (1952).
Practice
Use W3 to decompose customer onboarding into six to nine functions. Ban department and software names for the first ten minutes. Draw only dependencies you can explain. Mark one dependency as uncertain and name the evidence needed to resolve it.
Check your reasoning
The team says three departments must approve in order because the current form has three boxes. What should you ask next?
Worked response
Ask what decision or control each box represents and what information each needs. The form proves the present arrangement, not the necessity of three departments or serial approval.
A complete evidence-to-design chain
- Part and property: recommendation; its fit to the client's situation can be explained.
- Basis: the agreed case outcome requires usable guidance. This supports a bounded requirement; it does not prove the present advice is suitable.
- Function: establish context, formulate guidance and expose uncertainties that could change it.
- Principle: before representing guidance as applicable, identify its material context and uncertainty; clarify, qualify or refer where necessary.
- Alternatives: a live consultation, asynchronous expert review, or guided self-service for an evidenced class of recurring needs with escalation.
- Test: examine context, wrong fit, understanding and total clarification effort in representative cases/users.
“Clients need guidance, therefore every client needs a meeting” does not establish necessity. It imports a mechanism into the conclusion.
Complete the next chain · 5 minutes
Given part: communication channel. Supply property, status, evidence/check, function, bounded principle, two mechanisms, dependency and exception. Write before opening the model. Then complete an independent row for recommendation or follow-up commitment.
Illustrative reasoning, after your attempt
Required property: usable by the intended client. Its requirement follows from the outcome; whether a channel has that property requires a realistic trial. Function: exchange enough meaning to clarify a material gap. Principle: provide a usable clarification path before representing the answer as applicable. Written exchange and a short conversation are alternatives. A client unable to use either needs an investigated assisted route or a clear referral; do not silently close the case. Other supported answers are acceptable.
Read-along slides and narration script
2.01 · The Pieces and the Evidence
Welcome to Colabmo.
I'm Diggy Breiling, founder of Colabmo. Welcome to First Principles Thinking for Business Process Redesign. This is chapter two, The Pieces and the Evidence.
In this chapter, we'll break a process into its individual parts, examine the properties of those parts, and use evidence and investigation tools to challenge our explanations.
2.02 · Functions beneath the workflow
We begin with functions, individual parts and properties.
We will examine what the process needs to do, revisit the candle puzzle, and distinguish observations from assumptions. Keep your outcome brief and workbook nearby.
A current-state map helps locate evidence and pain points. It is not the foundation of the future design. If the team starts by redrawing its swimlanes, it can preserve the same handoffs with new names. First list what must be accomplished, without assigning those functions to departments.
For a request-to-decision process, functions might include identifying the requester, understanding the need, determining eligibility, establishing authority, deciding, communicating the outcome and retaining the required evidence. “Finance signs the spreadsheet” combines a function, an actor and a tool. The underlying function may be establishing spending authority, confirming a budget, or something else. Ask the owner which risk the signature controls.
2.03 · Individual parts and their properties
Let’s make the habit explicit. Break the thing down into its individual parts. Then examine the properties of each part. Properties are attributes, not smaller components. Mark whether each property is observed, assumed or required. For a physical object, useful properties might include dimensions, shape, material, mass, stiffness or resistance to heat. For a business process, the parts may include information fields, decision rules, permissions, people’s capabilities and interfaces between systems. Their properties might include accuracy, freshness, availability, capacity or the scope of an authorization.
Consider a service request. Treating it as one document can hide the important differences. Separate the customer identifier, requested start date, supporting evidence and authorization. Then examine each. Does the identifier uniquely match the customer? Does the date mean requested or confirmed? How old can the evidence be before it needs checking? What decisions does the authorization actually permit? A property becomes useful when we explain how it affects the required function. Keep dependencies and interactions visible as well. The parts only produce the outcome when they work together.
2.04 · Dependencies and sequence
Decompose until each function has an identifiable input, transformation or decision, and output. A function is too broad if no one can explain what evidence would show it happened. It is too detailed for the current exercise if further decomposition cannot change the design choice or the test.
Distinguish logical dependency from historical sequence. A final eligibility decision depends on sufficient eligibility evidence. Identity and service-capacity checks might run independently. That possibility remains a hypothesis until information dependencies and exception behavior are understood. Parallel work is not automatically better if it creates excessive rework.
2.05 · Properties make alternatives possible
A part’s familiar name can hide the properties that matter. A field called start date could contain the requested date, an agreed date, or the date someone happened to enter the record. The same label does not guarantee the same meaning. Write the property precisely, identify how you know it, and explain which function depends on it.
Next ask which properties an alternative must preserve. A decision may need a valid authorization with a defined scope. That requirement does not yet establish that a particular person must sign a particular spreadsheet. Another mechanism could establish the same authority, provided the applicable rules permit it and the evidence supports the design. Stop decomposing when further detail no longer changes a decision or a useful test. Then reconnect the parts. Examine what information crosses each boundary and what happens when a part is missing, late or wrong.
2.06 · The parts of an advisory service
We now examine the parts of BrightPath’s advisory service. There is no manufactured product to take apart. Separate the client’s question, supporting context, adviser capability, communication channel, recommendation and follow-up commitment.
For the question, examine specificity and ambiguity. For context, check relevance, accuracy and freshness. Adviser capability has a scope and limits; a job title alone does not establish competence for this need. The channel affects accessibility, privacy and the opportunity to clarify. A recommendation needs an explainable fit to the situation. A follow-up commitment needs an owner, a trigger and a completion condition.
Properties are attributes of the parts. Label a property as observed, assumed or required, and state its source or check. We examine people’s relevant capabilities and interactions without reducing them to interchangeable components. Trust is not a magic ingredient: understandable reasoning, candid limits and reliable commitments can help support it. Ask what evidence would show those conditions are present.
2.07 · From a property to a testable design
Follow one complete chain. Our part is the recommendation. A required property is that its applicability to the client’s learning situation can be explained. The basis is our agreed case outcome: usable guidance for that situation. This is a bounded requirement, not a law of nature.
The necessary functions are to establish relevant context, form a recommendation and expose assumptions that could change it. The principle follows: before representing guidance as applicable, identify the material context and uncertainties on which it depends. A gap may require clarification, a conditional answer or referral.
That principle does not require a forty-five-minute video call. A conversation, asynchronous expert review or suitable guided self-service might perform the functions. We would test whether each establishes enough context and produces an understandable next step, recording wrong fit, clarification effort and cases it cannot serve.
A weak chain says, clients need guidance, therefore every client needs a meeting. The conclusion has smuggled in the existing mechanism. Our stronger chain makes that choice testable.
2.08 · Exceptions belong in the design
Use three questions at each step: What outcome becomes impossible without this function? Which other function needs its output? Could a different actor, time, channel or mechanism deliver that output? Retain a function whose necessity is supported. Put an uncertain function in the evidence ledger instead of deleting it by enthusiasm.
Include the failure path. A sound design knows what happens when information is missing, authority is disputed or a request is rejected. Exception handling is part of the service, not a footnote added after the attractive flow is drawn.
2.09 · Duncker’s candle problem
We now begin the section on Duncker’s candle problem.
Here is a classroom adaptation of Duncker’s candle problem. Imagine the supplies shown beside a cork board above a table. How could you support the candle on the board so that wax would not reach the table? Sketch your proposal. Spend two minutes working alone before discussing it. List the functions you need and distinguish a stated condition from a condition you added yourself. If you already know the solution, record the change in reasoning privately and let others try. Use a sketch for this activity. Pause the video now, and resume when your first proposal is recorded.
2.10 · The box becomes a support
In this adaptation, remove the matchbox drawer, empty it and attach its rear wall to the board. Its base supports the candle and its sides help contain drips. The box changes function from storing matches to providing a platform. Functional fixedness describes the difficulty of seeing beyond an object’s familiar use. Our drawing illustrates the conceptual answer. The exercise does not assess intelligence or prove a business improvement. Now name a familiar form, meeting or spreadsheet. What functions does it perform? Which properties make it useful? What would an alternative have to preserve? Record a changed assumption and a required check in worksheet three.
2.11 · W3: a functional model
We now begin the section on Building a functional model.
Now apply the reasoning. Use W3 to decompose customer onboarding into six to nine functions. Ban department and software names for the first ten minutes. For each function, identify the individual information, rule or capability it needs. Use the expanded W3 columns to record each part, its relevant property, whether that property is observed, assumed or required, its evidence or check, and the function it supports. Draw only dependencies you can explain. Mark one dependency as uncertain and name the evidence needed to resolve it.
Pause the video while you work. Before resuming, record your answer to this question: The team says three departments must approve in order because the current form has three boxes. What should you ask next?
When you return, compare your reasoning with this explanation. Ask what decision or control each box represents and what information each needs. The form proves the present arrangement, not the necessity of three departments or serial approval.
2.12 · W3: complete the service reasoning chain
Use the BrightPath panel in W3 for five minutes. The part is the communication channel. Supply a relevant property, its status and evidence or a check. Explain the function it supports, derive a bounded principle and propose two mechanisms. Name a dependency and what happens when it fails. Work before opening the model response.
One defensible answer is accessibility to the intended client. The requirement comes from the agreed outcome; whether a channel is accessible remains a question for a realistic user trial. The function is exchanging enough meaning to clarify the need. A bounded principle is that a client must have a usable way to clarify material uncertainty before guidance is represented as applicable. A written exchange and a short conversation are candidate mechanisms. Neither works for every person or situation.
Now complete an independent row for a recommendation or follow-up commitment. Your answer can differ if the reasoning is supported. This finishes our first chapter-two block: decomposition. Take a short break, then return for evidence.
Chapter 2 · Page 2 of 2
Build an evidence ledger
Learning objective: Distinguish observations, assumptions, obligations and choices and test the claims that matter.
Write significant claims as separate statements. “Every request needs a director’s signature because errors are costly” contains several claims: the signature is required, it applies to every request, and it reduces costly errors. Each needs a different type of support.
| Claim type | Example | What would support it |
|---|---|---|
| Observation | Twenty of the last fifty requests were returned. | Defined sample and records showing the return criterion. |
| Binding obligation | These decisions require a named authority. | Applicable current policy, agreement or other governing source. |
| Assumption or hypothesis | A single intake improves completeness. | A test with a defined comparison and measure. |
| Preference or design choice | The sponsor wants one point of contact. | Recorded owner choice and its tradeoffs. |
| Derived conclusion | One intake owner could perform these checks. | A visible chain of premises plus feasibility evidence. |
For every material claim, record its scope, source and date, confidence, a counterexample, and what decision changes if it is false. A confident colleague is a source of experience; confidence is not a substitute for inspecting the relevant records. Nor does a small sample prove that an event never occurs.
Prioritize investigation by consequence and uncertainty. An unsupported statement that would eliminate a necessary control deserves earlier attention than a low-impact preference about screen layout. Give open questions an owner and a next review point so inquiry produces decisions instead of an endless research list.
Seek disconfirming evidence deliberately. Ask for a successful exception to “we always need this,” or an unsuccessful exception to “we can safely remove it.” Explain why the example is comparable. A special executive intervention may not generalize to routine work.
Separate the evidence from the explanation. Records might show that requests with more reviewers take longer. They do not alone show reviewers caused the delay; more complex requests might require both more review and more time. Use that observation to design a better investigation.
Practice
Classify these claims in W2: “The system cannot route by category”; “Customers prefer email”; “Policy requires independent authorization”; “Last month 18 of 60 cases lacked a start date”; “We should use a single queue.” For each, specify a source or test and a consequence if wrong.
Check your reasoning
Does unanimous agreement turn an assumption into a fact?
Worked response
No. Agreement records a shared belief or decision. A factual claim still needs evidence appropriate to its scope; a preference needs an accountable owner and explicit tradeoffs.
Tools and methods you may already use
You may already use tools and methods like these in your work. Bring that experience with you. Choose a method for the question it can help answer, then carry its evidence and limitations into the reasoning. These methods have their own purposes; using one does not automatically demonstrate first principles thinking.
FPT means First Principles Thinking. First Principles Reasoning (FPR) is related wording, and FP is a shortened reference to first principles. We use FPT consistently in this course. The abbreviations below identify supporting methods and concepts, rather than alternative names for FPT.
| Tool or method | How it can help | Useful FIRST connection | Limit to keep visible |
|---|---|---|---|
| 5 Whys | Repeated why questions examine a possible causal chain. | Investigate Fundamentals | Questions generate claims to investigate. Five answers do not prove a root cause. |
| Fishbone / Ishikawa diagram | Organizes possible contributors to a defined effect. | Investigate Fundamentals | Branches are hypotheses. Categories and popularity do not establish causation. |
| RCA — Root Cause Analysis | Investigates underlying causes of an observed problem. | Investigate Fundamentals; Test and Iterate | Evidence of a cause does not by itself establish the best redesign. |
| FA — Function Analysis | Clarifies the functions a product, process or service needs to perform. | Investigate Fundamentals; Reimagine Possibilities | Separate what must happen from the current component, role or tool. Check properties and dependencies. |
| FMEA — Failure Mode and Effects Analysis | Examines potential ways a design or process could fail, their effects and prevention or mitigation actions. | Reimagine Possibilities; Test and Iterate | Ratings require a basis. A completed worksheet does not validate performance or remove risk. |
| TRIZ — Theory of Inventive Problem Solving | Provides approaches for exploring contradictions and generating solution concepts. | Reimagine Possibilities | A generated concept still needs evidence, contextual fit and testing. |
| A3 problem-solving | Structures a concise account of a problem, analysis, proposed countermeasures, responsibilities and follow-up. | Across FIRST | It is a reasoning and collaboration practice, not merely filling a page-sized template. |
| MECE — Mutually Exclusive, Collectively Exhaustive | Checks whether a chosen grouping avoids overlap and covers its defined scope. | Frame the Challenge; Investigate Fundamentals | A tidy grouping is not proof of completeness. Real parts can interact and share dependencies. |
| TOC — Theory of Constraints | Directs improvement toward what limits the performance of the overall system. | Investigate Fundamentals; Test and Iterate | The limiting factor can change. A local improvement may not improve the overall outcome. |
| ZBT — Zero-Based Thinking | Reconsiders whether to begin or continue an existing commitment using present knowledge. | Frame the Challenge; Reimagine Possibilities | Reconsideration still needs evidence about obligations, transition costs and consequences. |
| CT — Critical Thinking | Examines the quality of information, assumptions, inferences and judgments. | Across FIRST | It is a broad discipline; the label alone does not demonstrate sound reasoning. |
BrightPath: selecting a tool for a question
Function analysis: distinguish “clarify the client’s need” from “hold a meeting.” Examine the properties that make clarification possible, including understandable language, access to relevant context and a way to resolve ambiguity.
Fishbone and 5 Whys: explore why some requests lack context. Consider unclear prompts, an unsuitable channel or an unknown information need. Ask what observation would distinguish those explanations; do not treat a completed diagram as a finding.
FMEA: consider a recommendation based on missing context. A possible effect is an unsuitable next step. Identify prevention, detection and response measures, and test whether they work for the intended users.
A3: summarize the outcome, evidence, alternatives, proposed test and owner. The decision record should expose uncertainty rather than conceal it behind a polished format.
These are fictional teaching applications, not completed analyses or service results. This overview introduces connections; it does not teach every method in full or confer method-specific competence.
Practice: choose a tool, then name its limit
Within the existing W2A discussion, choose one unresolved question. Name a useful tool, the output it would produce, the evidence still needed, and what the tool cannot establish. You may also conclude that a direct observation or conversation is more useful. No additional scored question is introduced.
How the tools support FPT, and how FPT improves their use
The relationship works in both directions. A method can help organize evidence, expose risk or develop an alternative. First principles thinking helps a team decide what the method must answer, challenge the premises it carries, and interpret the output within its limits.
FMEA: begin with the function and the consequence
How FMEA helps: it makes potential failures, effects and proposed controls visible while a team rebuilds a process. It can identify a consequential uncertainty for a test and a condition that must be monitored after implementation.
How FPT improves its use: begin with the required function and intended user outcome. Examine the parts, their relevant properties and their dependencies before listing failure modes. Challenge whether the current form, approval or job title is necessary to the function. Give each rating and assumed control an explicit basis. Revisit the analysis when a different operating mechanism changes the failure paths.
BrightPath example: “meeting not booked” describes a failure of today’s method. The required function may be helping a client obtain suitable guidance and a usable next step. A broader failure mode is advice based on inadequate context. Identify the effect on the client, possible causes, preventive checks, how missing context would be detected and who responds. Compare how conversation, written exchange and guided intake manage that risk. An FMEA identifies questions and actions; a rating alone does not show that a control works.
Root cause analysis: explain the failure, then reconsider the design
How RCA helps: it investigates causal explanations for an observed problem and helps distinguish symptoms from contributing conditions. Fishbone diagrams and 5 Whys can organize that investigation.
How FPT improves its use: define the effect precisely, test competing explanations and separate observations from inference. Then ask which functions and constraints are necessary, rather than automatically restoring the existing arrangement.
BrightPath example: a question arriving without sufficient context could reflect an unclear prompt, a channel mismatch, or a user who cannot yet identify the needed information. Investigate those alternatives. Even if an unclear prompt contributes to the problem, “write a longer form” is only one candidate response. A short clarification conversation or staged intake may achieve the same function differently. Compare and test them.
The same discipline applies to the other methods
- Function analysis and MECE: clarify functions and organize the investigation. FPT checks the grouping boundary and preserves properties, interfaces and dependencies.
- TRIZ: generates ideas around a contradiction. FPT checks whether the stated conflict is real, which requirements are justified and whether a proposed mechanism can work.
- TOC: focuses attention on system performance. FPT challenges how the system, goal and supposed constraint were defined and asks for evidence that the limiting factor has been identified.
- A3: makes a decision story reviewable. FPT strengthens the trace from outcome through claims, alternatives and evidence, including what would change the recommendation.
- Zero-based and critical thinking: reopen commitments and scrutinize reasoning. FPT turns that challenge into a model of necessary functions and testable alternatives, while retaining applicable obligations.
Working prompt: What question does this tool answer? What assumptions does it bring? What does its output establish, and what evidence is still missing?
These examples and connections are Colabmo teaching applications. The reference table links to the professional and author sources for each method.
Parts, properties and investigation tools
Individual parts and their properties
Let’s make the habit explicit. Break the thing down into its individual parts. Then examine the properties of each part. Properties are attributes, not smaller components. For a physical object, useful properties might include dimensions, shape, material, mass, stiffness or resistance to heat. For a business process, the parts may include information fields, decision rules, permissions, people’s capabilities and interfaces between systems. Their properties might include accuracy, freshness, availability, capacity or the scope of an authorization.
Consider a service request. Treating it as one document can hide the important differences. Separate the customer identifier, requested start date, supporting evidence and authorization. Then examine each. Does the identifier uniquely match the customer? Does the date mean requested or confirmed? How old can the evidence be before it needs checking? What decisions does the authorization actually permit? A property becomes useful when we explain how it affects the required function. Keep dependencies and interactions visible as well. The parts only produce the outcome when they work together.
Properties make alternatives possible
A part’s familiar name can hide the properties that matter. A field called start date could contain the requested date, an agreed date, or the date someone happened to enter the record. The same label does not guarantee the same meaning. Write the property precisely, identify how you know it, and explain which function depends on it.
Next ask which properties an alternative must preserve. A decision may need a valid authorization with a defined scope. That requirement does not yet establish that a particular person must sign a particular spreadsheet. Another mechanism could establish the same authority, provided the applicable rules permit it and the evidence supports the design. Stop decomposing when further detail no longer changes a decision or a useful test. Then reconnect the parts. Examine what information crosses each boundary and what happens when a part is missing, late or wrong.
5 Whys: deeper questions
We now begin the section on Five Whys.
Five Whys is a repeated questioning technique. Ask why a specific problem occurred, then investigate the explanation and ask why that condition existed. The name is a prompt, not a requirement to stop at exactly five questions. It is useful when a team is accepting the first explanation or repeatedly treating the same symptom.
In our FPT work, write each answer as a hypothesis until appropriate evidence supports it. Ask what record, observation or test would distinguish that explanation from another one. If two conditions could contribute, branch the inquiry. If the next answer is a guess, record the gap and investigate rather than filling a fifth line. Avoid ending with a character judgment such as people are careless. Ask about the conditions, information and capabilities that shaped the action. A neat chain alone does not establish causation.
https://asq.org/quality-resources/five-whys
A possible chain to investigate
Here is a fictional example, not a completed investigation. The reported problem is delayed customer activation. A possible first explanation is that activation waits for a start date. Check the case timeline. Why is that date missing? Perhaps the request contains no date. Inspect the original request rather than relying on someone’s memory. Why could the request progress? Perhaps the intake form allows a blank. Test the actual form and its routing. Why does it allow that? Perhaps one generic form serves request types with different needs. Compare the rules and configurations for those types. Why was the field left optional for this type? Perhaps nobody defined the minimum decision evidence for each type. Review the design decisions and ask the accountable owner.
Every link could be wrong or incomplete. A date might have been captured and then lost at an interface. A customer might be unable to confirm it yet. Those alternatives deserve investigation. Do not present the fifth answer as the root cause merely because it occupies the last row.
https://asq.org/quality-resources/five-whys
Fishbone: a wider set of possible causes
We now begin the section on Fishbone diagrams.
A fishbone diagram, also called a cause-and-effect or Ishikawa diagram, organizes possible causes around one clearly stated effect. It helps a cross-functional team explore more than its first explanation. Define the effect, the measurement boundary and the period before brainstorming. Then choose categories that fit the process. The categories on this slide are business-process prompts, not a mandatory taxonomy.
For delayed activation, consider information, workflow, roles, systems, rules and demand. Could the date have an unclear meaning? Could requests wait in batches? Could an exception lack an owner? Could an interface lose a value? Could requirements differ by request type? Could peaks exceed capacity? Each branch is a possibility. Add other causes and connections when warranted. Use repeated why questions to explore a promising branch, then move the material claims into the evidence ledger. A populated fishbone records the team’s thinking. It does not show which explanation is true or how much each contributes.
https://asq.org/quality-resources/fishbone
Investigation supports first principles thinking
We now begin the section on Connecting investigation to first principles thinking.
Choose the tool for the question. A fishbone is helpful when the team needs a wider view of possible contributors. Five Whys helps examine the reasoning within a branch. Either can come first, and neither is compulsory for every redesign. Both can help identify claims to investigate.
First principles thinking then asks a further question: what must the process accomplish, and which properties must its parts have to accomplish that? In our fictional case, the necessary function might be establishing a usable, agreed start date before an activation commitment. Investigate whether that is actually required for every request type. Compare different mechanisms, such as collecting the date at intake or deriving it from an authorized scheduling agreement. Evaluate the evidence, exceptions and constraints for each. Do not assume that understanding why today’s process fails has proved the best future design.
https://asq.org/quality-resources/five-whys · https://asq.org/quality-resources/fishbone
W2A: parts, properties and causes
We now begin the section on Practice with parts, properties and causes.
Allow fifteen minutes for this practice. Choose a bounded process problem, or use the fictional activation example. First, take three minutes to identify its parts. For each part, record a property that matters, how you know it, and the function that depends on it. Spend four minutes building a fishbone of possible causes. Choose categories that help your team think. Spend four minutes examining one branch with repeated why questions. Label unsupported answers as hypotheses and record the evidence needed for each link. Use the final four minutes to state a necessary function and propose two different ways to achieve it.
Pause now. Before resuming, ask a partner to challenge one causal link.
For the debrief, assess the reasoning rather than whether you drew our diagram. A useful answer separates a part from its properties, links a property to a function, preserves an important dependency, and gives each causal claim an evidence check. If evidence is missing, a clear investigation plan is a valid outcome. Avoid rewarding a confident fifth answer that the team cannot support.
You now have a functional model and a way to classify claims. Carry both forward. Next, we will examine which constraints apply and build principles that a redesign must satisfy.
Read-along slides and narration script
2.13 · Claims need different evidence
We now begin the section on Claims and the evidence ledger.
This is our second chapter-two block: evidence. Write significant claims as separate statements. “Every request needs a director’s signature because errors are costly” contains several claims: the signature is required, it applies to every request, and it reduces costly errors. Each needs a different type of support.
An observation needs a defined sample and records. An obligation needs a current source that applies. A hypothesis needs a test. A preference needs an accountable owner and explicit tradeoffs. A derived conclusion needs its premises and reasoning. Record the type before deciding what evidence will support it.
2.14 · An evidence ledger
For every material claim, record its scope, source and date, confidence, a counterexample, and what decision changes if it is false. A confident colleague is a source of experience; confidence is not a substitute for inspecting the relevant records. Nor does a small sample prove that an event never occurs.
Prioritize investigation by consequence and uncertainty. An unsupported statement that would eliminate a necessary control deserves earlier attention than a low-impact preference about screen layout. Give open questions an owner and a next review point so inquiry produces decisions instead of an endless research list.
2.15 · A credible investigation
Seek disconfirming evidence deliberately. Ask for a successful exception to “we always need this,” or an unsuccessful exception to “we can safely remove it.” Explain why the example is comparable. A special executive intervention may not generalize to routine work.
Separate the evidence from the explanation. Records might show that requests with more reviewers take longer. They do not alone show reviewers caused the delay; more complex requests might require both more review and more time. Use that observation to design a better investigation.
2.16 · W2: classify five claims
Now apply the reasoning. Classify these claims in W2: “The system cannot route by category”; “Customers prefer email”; “Policy requires independent authorization”; “Last month 18 of 60 cases lacked a start date”; “We should use a single queue.” For each, specify a source or test and a consequence if wrong.
Pause the video while you work. Before resuming, record your answer to this question: Does unanimous agreement turn an assumption into a fact?
When you return, compare your reasoning with this explanation. No. Agreement records a shared belief or decision. A factual claim still needs evidence appropriate to its scope; a preference needs an accountable owner and explicit tradeoffs.
Pause here before the third chapter-two block: investigation tools. Bring one uncertain causal claim into the next section.
2.17 · 5 Whys: deeper questions
We now begin the section on Five Whys.
In this third block, investigation tools help us examine claims. Five Whys is a repeated questioning technique. Ask why a specific problem occurred, then investigate the explanation and ask why that condition existed. The name is a prompt, not a requirement to stop at exactly five questions. It is useful when a team is accepting the first explanation or repeatedly treating the same symptom.
In our FPT work, write each answer as a hypothesis until appropriate evidence supports it. Ask what record, observation or test would distinguish that explanation from another one. If two conditions could contribute, branch the inquiry. If the next answer is a guess, record the gap and investigate rather than filling a fifth line. Avoid ending with a character judgment such as people are careless. Ask about the conditions, information and capabilities that shaped the action. A neat chain alone does not establish causation.
2.18 · A possible chain to investigate
Here is a fictional example, not a completed investigation. The reported problem is delayed customer activation. A possible first explanation is that activation waits for a start date. Check the case timeline. Why is that date missing? Perhaps the request contains no date. Inspect the original request rather than relying on someone’s memory. Why could the request progress? Perhaps the intake form allows a blank. Test the actual form and its routing. Why does it allow that? Perhaps one generic form serves request types with different needs. Compare the rules and configurations for those types. Why was the field left optional for this type? Perhaps nobody defined the minimum decision evidence for each type. Review the design decisions and ask the accountable owner.
Every link could be wrong or incomplete. A date might have been captured and then lost at an interface. A customer might be unable to confirm it yet. Those alternatives deserve investigation. Do not present the fifth answer as the root cause merely because it occupies the last row.
2.19 · Fishbone: a wider set of possible causes
We now begin the section on Fishbone diagrams.
A fishbone diagram, also called a cause-and-effect or Ishikawa diagram, organizes possible causes around one clearly stated effect. It helps a cross-functional team explore more than its first explanation. Define the effect, the measurement boundary and the period before brainstorming. Then choose categories that fit the process. The categories on this slide are business-process prompts, not a mandatory taxonomy.
For delayed activation, consider information, workflow, roles, systems, rules and demand. Could the date have an unclear meaning? Could requests wait in batches? Could an exception lack an owner? Could an interface lose a value? Could requirements differ by request type? Could peaks exceed capacity? Each branch is a possibility. Add other causes and connections when warranted. Use repeated why questions to explore a promising branch, then move the material claims into the evidence ledger. A populated fishbone records the team’s thinking. It does not show which explanation is true or how much each contributes.
2.20 · Tools and methods you may already use
We now begin the section on Connecting investigation to first principles thinking.
You may already use tools and methods like these in your work. Five Whys, fishbone charts, root cause analysis, FMEA, or an A3 problem-solving approach may be familiar. Bring that experience with you. Choose a tool because it helps answer the question in front of you.
A fishbone helps us spread out the possible explanations. Five Whys helps us examine a branch more closely. Root cause analysis investigates why a problem occurred. Those explanations still need evidence. Understanding why today’s process fails doesn’t establish the best future design.
Function analysis helps us describe what the process must accomplish. MECE is a way to check whether our categories overlap or leave gaps. It doesn’t mean the parts of a real system are independent. We still need to examine their connections.
When we’re developing alternatives, TRIZ can help us explore a contradiction, such as wanting more detail without making an intake form harder to use. FMEA helps us examine how a proposed service could fail and what the consequences would be.
Theory of Constraints helps us look at what limits the performance of the whole system. An A3 can help us explain the problem, evidence, proposed action and follow-up in a concise decision story.
Zero-based thinking asks us to reconsider a commitment using what we know today. Critical thinking helps us examine the quality of our claims and the conclusions we draw from them.
For BrightPath, we might use function analysis to clarify what useful advice requires, a fishbone to explore why questions arrive incomplete, and FMEA to examine the consequences of advice based on missing context. Then we still need to test our explanation and our proposed change.
And the relationship works both ways. These tools help us think, and first principles thinking helps us use them better.
Take FMEA. If we start with “the meeting wasn’t booked,” we may only improve the booking process. If we start with “the client received advice without enough context,” we’re examining the function and its consequences. Now we can compare how different ways of delivering advice manage that risk. We also need to ask what evidence supports our ratings and whether our controls actually work.
The same applies to root cause analysis. Finding that a prompt was unclear gives us a causal explanation to investigate. It doesn’t mean a longer form is the answer. We can still consider a short conversation or staged intake, then test which approach fits.
You don’t need to learn every method before using first principles thinking. The course reader gives you a reference table. For now, ask: what am I trying to find out, which tool would help, and what evidence would change my mind?
2.21 · W2A: parts, properties and causes
We now begin the section on Practice with parts, properties and causes.
Allow fifteen minutes for this practice. Choose a bounded process problem, or use the fictional activation example. First, take three minutes to identify its parts. For each part, record a property that matters, how you know it, and the function that depends on it. Spend four minutes building a fishbone of possible causes. Choose categories that help your team think. Spend four minutes examining one branch with repeated why questions. Label unsupported answers as hypotheses and record the evidence needed for each link. Use the final four minutes to state a necessary function and propose two different ways to achieve it.
Pause now. Before resuming, ask a partner to challenge one causal link.
For the debrief, assess the reasoning rather than whether you drew our diagram. A useful answer separates a part from its properties, links a property to a function, preserves an important dependency, and gives each causal claim an evidence check. If evidence is missing, a clear investigation plan is a valid outcome. Avoid rewarding a confident fifth answer that the team cannot support.
You now have a functional model and a way to classify claims. Carry both forward. Next, we will examine which constraints apply and build principles that a redesign must satisfy.
2.22 · Next: Constraints and Principles
You’ve completed chapter two, The Pieces and the Evidence, in First Principles Thinking for Business Process Redesign.
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