failure-mode-and-effects-analysis

What Is A failure Mode And Effects Analysis? Failure Mode And Effects Analysis In A Nutshell

A failure mode and effects analysis (FMEA) is a structured approach to identifying design failures in a product or process. Developed in the 1950s, the failure mode and effects analysis is one of the earliest methodologies of its kind. It enables organizations to anticipate a range of potential failures during the design stage. 

ComponentDescription
OverviewFailure Mode and Effects Analysis (FMEA) is a systematic and proactive approach to identify potential failure modes, their causes, and the effects or consequences of those failures in a product, process, or system. It helps prioritize and mitigate risks to improve reliability and safety.
Key ElementsFailure Modes: Identifying possible ways in which a product, process, or system could fail.
Causes: Determining the root causes or factors that contribute to each failure mode.
Effects: Evaluating the consequences or impact of each failure mode on the overall operation or objectives.
How It WorksFMEA involves a step-by-step process: First, identifying all potential failure modes, then determining their causes and effects. Each failure mode is assigned a risk priority number (RPN) based on criteria such as severity, occurrence, and detection. This helps prioritize which failure modes require mitigation efforts. Finally, corrective actions are planned and implemented to reduce risks and improve reliability.
ApplicationsManufacturing: Used to assess and enhance the reliability of manufacturing processes and product quality.
Engineering: Applied in product design and development to identify and mitigate potential failure modes.
Healthcare: Utilized in healthcare settings to minimize risks associated with medical procedures and equipment.
BenefitsRisk Reduction: FMEA helps identify and prioritize potential failure modes, allowing organizations to focus on high-risk areas.
Improved Reliability: By addressing weaknesses in design or processes, FMEA enhances the reliability and performance of products and systems.
DrawbacksResource-Intensive: Conducting FMEA can be time-consuming and requires skilled personnel.
Subjectivity: Risk assessments and RPNs may vary based on individual judgments and expertise.
Key TakeawayFailure Mode and Effects Analysis (FMEA) is a structured approach to identify potential failure modes, their causes, and their effects on products, processes, or systems. By systematically assessing risks and prioritizing mitigation efforts, FMEA helps organizations improve reliability, safety, and performance. It finds applications in manufacturing, engineering, healthcare, and various industries where risk management is critical. However, it can be resource-intensive and subject to individual judgments.

Understanding a failure mode and effects analysis

History is littered with examples of product recalls because of poorly designed products or processes. 

One such example is the Takata airbag recall, the largest automotive recall in the world affecting an estimated 100 million vehicles.

The recall was caused by design and manufacturing problems which lead to the airbag becoming highly explosive if exposed to high humidity.

Developed in the 1950s, the failure mode and effects analysis is one the earliest methodologies of its kind.

It enables organizations to anticipate a range of potential failures during the design stage. 

When conducting a FMEA, the team is prompted to evaluate the:

  • Steps in the process.
  • Failure modes – what could go wrong?
  • Failure causes – why would the failure occur?
  • Failure effects – what would be the consequences of failure occurrence?

Significance of FMEA

FMEA offers several significant advantages and benefits:

1. Risk Mitigation:

  • FMEA helps organizations identify and mitigate potential risks and failures early in the design or process development stage.

2. Enhanced Reliability:

  • By addressing failure modes proactively, FMEA contributes to improved product and process reliability.

3. Cost Reduction:

  • Identifying and addressing failure modes early can prevent costly recalls, rework, or warranty claims.

4. Safety Improvement:

  • FMEA is particularly critical in safety-critical industries, such as healthcare and aerospace, where it helps prevent accidents and injuries.

5. Process Optimization:

  • FMEA can lead to process improvements and optimization, resulting in higher efficiency and quality.

6. Regulatory Compliance:

  • In regulated industries, FMEA is often a requirement to demonstrate safety and reliability compliance.

Conducting a failure mode and effects analysis

A FMEA should be performed using a simple spreadsheet. In general terms, here is how a typical business might run the analysis:

Step 1 – Assemble a team

Start by creating a cross-functional team with a diverse range of knowledge about the process or product to be analyzed.

This may include manufacturing, quality control, customer service, maintenance, or purchasing. 

Step 2 – Define the scope

In other words, is the FMEA being used for a concept, system, process, or design? Where are the boundaries and what is the level of detail required?

Process steps should be listed in rows at the far left of the spreadsheet.

Step 3 – List failure mechanisms

List the ways that each process step can fail through brainstorming or the reviewing of existing documentation.

This list should be exhaustive and many steps will have multiple avenues to failing.

Then, repeat the same process for the potential effects of each failure.

Step 4 – Assign severity rankings

Using a scale of 1 to 10, rank the severity of the potential effect on the customer.

A score of 9 would denote a high-impact event, while a score of 2 would denote a low-impact event.

Step 5 – List and score potential causes of failure

How could the failure effect occur?

For example, a bank customer could become dissatisfied (failure effect) because of an ATM running out of cash (failure cause). 

For each potential failure cause, rank it according to how frequently it is likely to occur.

Rare occurrences receive low scores, while frequent events receive higher scores.

Step 6 – List and score current process controls

What are the existing controls that prevent the failure mode from occurring? Some controls may only detect failure modes after they occur.

Returning to the previous example, the bank might receive an internal alert that cash in the ATM is running low.

Each control should then be scored according to its ability to detect the occurrence of a failure event.

A failure event that is easily detected by a control is given a low score while a higher score is assigned to an inconspicuous failure event. 

Step 7 – Determine the risk priority number 

The risk priority number (RPN) is the overall risk score of an event. It can be calculated by multiplying the severity, occurrence, and detection scores together.

A process step with a higher RPN demands immediate attention. Lower RPN steps are at less risk of failure.

Step 8 – Propose recommended courses of action

Lastly, the team should propose a course of action for:

  • All process steps with a high RPN.
  • All failure effects with a severity score of 9 or 10, or those effects associated with customer safety or regulation.
  • All process steps scoring highly for both severity and occurrence – otherwise known as high criticality combinations.

Actions that reduce risk ultimately involve eliminating the failure or addressing the cause of the failure.

Processes can also be improved by increasing design tolerance and reducing variation in process output quality.

Lastly, controls can be improved by making processes and tools mistake-proof (often achieved through automation).

Enhanced inspection and evaluation techniques can also increase control effectiveness.

Failure mode and effects analysis example

Consider the FMEA analysis for a company that designs bicycle brake cables. The assembled team defines three potential failure models and their associated effects:

  1. Cable breaks (potential failure mode) – bicycle rider is not able to close brake caliper to reduce speed, which may result in an accident and/or injury (failure effect). 
  2. Cable binds – bicycle rider is required to use more force to close brake calipers because of increased friction between brake cable and sheath.
  3. Cable slips at brake lever locking nut or caliper – brake caliper does not close when correct amount of force is applied to lever. This may result in less friction between the brake pads and wheels and a possible accident and/or injury.

Next, the team scores each failure mode for its potential severity (step four in the process outlined above):

  1. Cable breaks – 10.
  2. Cable binds – 6. 
  3. Cable slips at break lever locking nut or caliper – 9. 

Then, the team discusses how each failure could arise and then score it according to how frequently it may occur.

Remember, frequent events receive higher scores than events perceived to be rarer. 

  1. Cable breaks – nylon abrasion due to improper material use (2), nylon becomes brittle because of low relative humidity or repeated bending under load (4).
  2. Cable binds – cable that is bent or kinked because of misalignment (5), poor or non-existent lubrication between sheath and cable (2). 
  3. Cable slips at break level locking nut or caliper – the diameter of the brake cable is too small to be secure after the locking nut is engaged (7).

In step six, the team lists the current controls that either prevent a failure mode from occurring or detect it after it has occurred.

Each control is also scored according to how well it detects a failure event, with lower scores associated with events that are more easily detected.

  1. Nylon abrasion due to improper material use – choice of cable material based on applicable American National Standards Institute (ANSI) criteria, factory cable strength test (1).
  2. Nylon becomes brittle because of low relative humidity or repeated bending under load – laboratory examination for evidence of cracking (4).
  3. Nylon cable that is bent or kinked because of misalignment – design guide for nylon cable material, inspection of all new cable material (2). 
  4. Poor or non-existent lubrication between sheath and cable – design guide for cable lubrication, perform brake lever effort test (1). 
  5. The diameter of the brake cable is too small to be secure after locking nut is engaged – undertake brake mechanism tolerance study, perform brake calibration test (2). 

Now it is time to calculate the RPN by multiplying the severity, occurrence, and detection for each event:

  1. Cable breaks because of nylon abrasion – 10 x 2 x 1 = 20.
  2. Cable breaks because nylon becomes brittle – 10 x 4 x 4 = 160.
  3. Cable binds because of bend or kink in cable – 6 x 5 x 2 = 60.
  4. Cable binds because of inadequate lubrication – 6 x 2 x 1 = 12. 
  5. Cable slips because of small cable diameter – 9 x 7 x 2 = 126.

From these results, failure effects that result in accident or injury to the rider should be prioritized.

A cable that slips because of a smaller diameter is a high criticality combination because it scores relatively highly for both severity and occurrence.

In this case, one potential way to improve this process would be to redesign the cable locking mechanism from scratch.

Case Studies

Food Manufacturing Company: Chocolate Bar Production

Step 1 – Assemble a team:

  • Production manager, quality assurance manager, maintenance technician, and customer service representative.

Step 2 – Define the scope:

  • Analysis of the chocolate bar molding process.

Step 3 – List failure mechanisms:

  • Chocolate doesn’t set properly, presence of foreign contaminants, uneven mixture of ingredients.
  • Effects: Dissatisfied customers, potential health risks, inconsistent taste.

Step 4 – Assign severity rankings:

  • Chocolate not setting (7), contaminants (10), uneven mixture (6).

Step 5 – List and score potential causes:

  • Improper temperature (5), unclean equipment (8), malfunctioning mixer (4).

Step 6 – List and score current process controls:

  • Regular thermometer checks, equipment cleaning schedule, mixer maintenance checks.
  • Detection scores: 3, 2, 4 respectively.

Step 7 – Determine RPN:

  • Improper temperature: 7 x 5 x 3 = 105.
  • Contaminants: 10 x 8 x 2 = 160.
  • Uneven mixture: 6 x 4 x 4 = 96.

Step 8 – Recommended actions:

  • Improved temperature monitoring, stricter cleaning protocols, and enhanced mixer maintenance.

Online E-commerce Platform

Step 1 – Assemble a team:

  • IT specialist, customer service representative, quality assurance tester, and security expert.

Step 2 – Define the scope:

  • Analysis of the checkout process.

Step 3 – List failure mechanisms:

  • System crashes during checkout, incorrect billing, unauthorized access.
  • Effects: Lost sales, financial discrepancies, potential data breaches.

Step 4 – Assign severity rankings:

  • System crash (8), incorrect billing (7), unauthorized access (10).

Step 5 – List and score potential causes:

  • Server overload (6), software bug (5), weak security measures (9).

Step 6 – List and score current process controls:

  • Server monitoring tools, routine software testing, two-factor authentication.
  • Detection scores: 4, 3, 5 respectively.

Step 7 – Determine RPN:

  • System crash: 8 x 6 x 4 = 192.
  • Incorrect billing: 7 x 5 x 3 = 105.
  • Unauthorized access: 10 x 9 x 5 = 450.

Step 8 – Recommended actions:

  • Enhance server capacity, rectify software glitches, strengthen security measures.

Airline Industry: Flight Booking Process

Step 1 – Assemble a team:

  • Flight operations expert, IT specialist, customer service manager, and a financial controller.

Step 2 – Define the scope:

  • Analysis of online flight booking.

Step 3 – List failure mechanisms:

  • Double booking of seats, wrong flight details provided, payment failures.
  • Effects: Inconvenienced passengers, lost trust, revenue loss.

Step 4 – Assign severity rankings:

  • Double booking (9), wrong flight details (8), payment failure (7).

Step 5 – List and score potential causes:

  • System synchronization issues (8), database errors (6), payment gateway issues (7).

Step 6 – List and score current process controls:

  • Real-time system checks, data validation protocols, payment gateway monitoring.
  • Detection scores: 3, 4, 2 respectively.

Step 7 – Determine RPN:

  • Double booking: 9 x 8 x 3 = 216.
  • Wrong flight details: 8 x 6 x 4 = 192.
  • Payment failure: 7 x 7 x 2 = 98.

Step 8 – Recommended actions:

  • Improve system synchronization, enhance database accuracy, and coordinate with payment service providers.

Key takeaways

  • A failure mode and effects analysis is a structured, evaluative approach to identifying failures in a product or process.
  • A failure mode and effects analysis forces teams to critically evaluate each step in a process. This is achieved by considering the modes, causes, and potential effects of process failures.
  • A failure mode and effects analysis can be performed using spreadsheet software. Teams must assign weighted scores to a range of variables and focus their efforts on process steps with the highest risk of failure.

Key Highlights

  • Failure Mode and Effects Analysis (FMEA): A structured approach to identify design failures in products or processes, allowing organizations to anticipate potential failures during the design stage.
  • History of FMEA: Developed in the 1950s, it helps prevent product recalls and improve design quality.
  • FMEA Process Steps:
    1. Assemble a Team: Create a cross-functional team with diverse knowledge about the process/product to be analyzed.
    2. Define the Scope: Determine the focus of the analysis and set boundaries for the evaluation.
    3. List Failure Mechanisms: Brainstorm potential failure modes for each process step and their associated effects.
    4. Assign Severity Rankings: Rank the severity of potential failure effects on customers using a scale of 1 to 10.
    5. List and Score Potential Causes of Failure: Identify the reasons for each failure effect and rank their likelihood of occurrence.
    6. List and Score Current Process Controls: Evaluate existing controls to prevent or detect failures and score their effectiveness.
    7. Determine the Risk Priority Number (RPN): Calculate the overall risk score by multiplying severity, occurrence, and detection scores.
    8. Propose Recommended Courses of Action: Develop action plans to address high-risk process steps and failure effects.
  • Example: Bicycle brake cables FMEA analysis:
    • Identified failure modes and effects for cable breaks, cable binds, and cable slips.
    • Scored severity, occurrence, and detection for each failure mode.
    • Calculated RPN to prioritize high-risk failures.
    • Recommended actions to improve critical process steps and mitigate risks.
  • Benefits of FMEA: Allows critical evaluation of each process step, helps identify potential failures, and enables continuous improvement.

Connected Analysis Frameworks

Failure Mode And Effects Analysis

failure-mode-and-effects-analysis
A failure mode and effects analysis (FMEA) is a structured approach to identifying design failures in a product or process. Developed in the 1950s, the failure mode and effects analysis is one the earliest methodologies of its kind. It enables organizations to anticipate a range of potential failures during the design stage.

Agile Business Analysis

agile-business-analysis
Agile Business Analysis (AgileBA) is certification in the form of guidance and training for business analysts seeking to work in agile environments. To support this shift, AgileBA also helps the business analyst relate Agile projects to a wider organizational mission or strategy. To ensure that analysts have the necessary skills and expertise, AgileBA certification was developed.

Business Valuation

valuation
Business valuations involve a formal analysis of the key operational aspects of a business. A business valuation is an analysis used to determine the economic value of a business or company unit. It’s important to note that valuations are one part science and one part art. Analysts use professional judgment to consider the financial performance of a business with respect to local, national, or global economic conditions. They will also consider the total value of assets and liabilities, in addition to patented or proprietary technology.

Paired Comparison Analysis

paired-comparison-analysis
A paired comparison analysis is used to rate or rank options where evaluation criteria are subjective by nature. The analysis is particularly useful when there is a lack of clear priorities or objective data to base decisions on. A paired comparison analysis evaluates a range of options by comparing them against each other.

Monte Carlo Analysis

monte-carlo-analysis
The Monte Carlo analysis is a quantitative risk management technique. The Monte Carlo analysis was developed by nuclear scientist Stanislaw Ulam in 1940 as work progressed on the atom bomb. The analysis first considers the impact of certain risks on project management such as time or budgetary constraints. Then, a computerized mathematical output gives businesses a range of possible outcomes and their probability of occurrence.

Cost-Benefit Analysis

cost-benefit-analysis
A cost-benefit analysis is a process a business can use to analyze decisions according to the costs associated with making that decision. For a cost analysis to be effective it’s important to articulate the project in the simplest terms possible, identify the costs, determine the benefits of project implementation, assess the alternatives.

CATWOE Analysis

catwoe-analysis
The CATWOE analysis is a problem-solving strategy that asks businesses to look at an issue from six different perspectives. The CATWOE analysis is an in-depth and holistic approach to problem-solving because it enables businesses to consider all perspectives. This often forces management out of habitual ways of thinking that would otherwise hinder growth and profitability. Most importantly, the CATWOE analysis allows businesses to combine multiple perspectives into a single, unifying solution.

VTDF Framework

competitor-analysis
It’s possible to identify the key players that overlap with a company’s business model with a competitor analysis. This overlapping can be analyzed in terms of key customers, technologies, distribution, and financial models. When all those elements are analyzed, it is possible to map all the facets of competition for a tech business model to understand better where a business stands in the marketplace and its possible future developments.

Pareto Analysis

pareto-principle-pareto-analysis
The Pareto Analysis is a statistical analysis used in business decision making that identifies a certain number of input factors that have the greatest impact on income. It is based on the similarly named Pareto Principle, which states that 80% of the effect of something can be attributed to just 20% of the drivers.

Comparable Analysis

comparable-company-analysis
A comparable company analysis is a process that enables the identification of similar organizations to be used as a comparison to understand the business and financial performance of the target company. To find comparables you can look at two key profiles: the business and financial profile. From the comparable company analysis it is possible to understand the competitive landscape of the target organization.

SWOT Analysis

swot-analysis
A SWOT Analysis is a framework used for evaluating the business’s Strengths, Weaknesses, Opportunities, and Threats. It can aid in identifying the problematic areas of your business so that you can maximize your opportunities. It will also alert you to the challenges your organization might face in the future.

PESTEL Analysis

pestel-analysis
The PESTEL analysis is a framework that can help marketers assess whether macro-economic factors are affecting an organization. This is a critical step that helps organizations identify potential threats and weaknesses that can be used in other frameworks such as SWOT or to gain a broader and better understanding of the overall marketing environment.

Business Analysis

business-analysis
Business analysis is a research discipline that helps driving change within an organization by identifying the key elements and processes that drive value. Business analysis can also be used in Identifying new business opportunities or how to take advantage of existing business opportunities to grow your business in the marketplace.

Financial Structure

financial-structure
In corporate finance, the financial structure is how corporations finance their assets (usually either through debt or equity). For the sake of reverse engineering businesses, we want to look at three critical elements to determine the model used to sustain its assets: cost structure, profitability, and cash flow generation.

Financial Modeling

financial-modeling
Financial modeling involves the analysis of accounting, finance, and business data to predict future financial performance. Financial modeling is often used in valuation, which consists of estimating the value in dollar terms of a company based on several parameters. Some of the most common financial models comprise discounted cash flows, the M&A model, and the CCA model.

Value Investing

value-investing
Value investing is an investment philosophy that looks at companies’ fundamentals, to discover those companies whose intrinsic value is higher than what the market is currently pricing, in short value investing tries to evaluate a business by starting by its fundamentals.

Buffet Indicator

buffet-indicator
The Buffet Indicator is a measure of the total value of all publicly-traded stocks in a country divided by that country’s GDP. It’s a measure and ratio to evaluate whether a market is undervalued or overvalued. It’s one of Warren Buffet’s favorite measures as a warning that financial markets might be overvalued and riskier.

Financial Analysis

financial-accounting
Financial accounting is a subdiscipline within accounting that helps organizations provide reporting related to three critical areas of a business: its assets and liabilities (balance sheet), its revenues and expenses (income statement), and its cash flows (cash flow statement). Together those areas can be used for internal and external purposes.

Post-Mortem Analysis

post-mortem-analysis
Post-mortem analyses review projects from start to finish to determine process improvements and ensure that inefficiencies are not repeated in the future. In the Project Management Book of Knowledge (PMBOK), this process is referred to as “lessons learned”.

Retrospective Analysis

retrospective-analysis
Retrospective analyses are held after a project to determine what worked well and what did not. They are also conducted at the end of an iteration in Agile project management. Agile practitioners call these meetings retrospectives or retros. They are an effective way to check the pulse of a project team, reflect on the work performed to date, and reach a consensus on how to tackle the next sprint cycle.

Root Cause Analysis

root-cause-analysis
In essence, a root cause analysis involves the identification of problem root causes to devise the most effective solutions. Note that the root cause is an underlying factor that sets the problem in motion or causes a particular situation such as non-conformance.

Blindspot Analysis

blindspot-analysis

Break-even Analysis

break-even-analysis
A break-even analysis is commonly used to determine the point at which a new product or service will become profitable. The analysis is a financial calculation that tells the business how many products it must sell to cover its production costs.  A break-even analysis is a small business accounting process that tells the business what it needs to do to break even or recoup its initial investment. 

Decision Analysis

decision-analysis
Stanford University Professor Ronald A. Howard first defined decision analysis as a profession in 1964. Over the ensuing decades, Howard has supervised many doctoral theses on the subject across topics including nuclear waste disposal, investment planning, hurricane seeding, and research strategy. Decision analysis (DA) is a systematic, visual, and quantitative decision-making approach where all aspects of a decision are evaluated before making an optimal choice.

DESTEP Analysis

destep-analysis
A DESTEP analysis is a framework used by businesses to understand their external environment and the issues which may impact them. The DESTEP analysis is an extension of the popular PEST analysis created by Harvard Business School professor Francis J. Aguilar. The DESTEP analysis groups external factors into six categories: demographic, economic, socio-cultural, technological, ecological, and political.

STEEP Analysis

steep-analysis
The STEEP analysis is a tool used to map the external factors that impact an organization. STEEP stands for the five key areas on which the analysis focuses: socio-cultural, technological, economic, environmental/ecological, and political. Usually, the STEEP analysis is complementary or alternative to other methods such as SWOT or PESTEL analyses.

STEEPLE Analysis

steeple-analysis
The STEEPLE analysis is a variation of the STEEP analysis. Where the step analysis comprises socio-cultural, technological, economic, environmental/ecological, and political factors as the base of the analysis. The STEEPLE analysis adds other two factors such as Legal and Ethical.

Activity-Based Management

activity-based-management-abm
Activity-based management (ABM) is a framework for determining the profitability of every aspect of a business. The end goal is to maximize organizational strengths while minimizing or eliminating weaknesses. Activity-based management can be described in the following steps: identification and analysis, evaluation and identification of areas of improvement.

PMESII-PT Analysis

pmesii-pt
PMESII-PT is a tool that helps users organize large amounts of operations information. PMESII-PT is an environmental scanning and monitoring technique, like the SWOT, PESTLE, and QUEST analysis. Developed by the United States Army, used as a way to execute a more complex strategy in foreign countries with a complex and uncertain context to map.

SPACE Analysis

space-analysis
The SPACE (Strategic Position and Action Evaluation) analysis was developed by strategy academics Alan Rowe, Richard Mason, Karl Dickel, Richard Mann, and Robert Mockler. The particular focus of this framework is strategy formation as it relates to the competitive position of an organization. The SPACE analysis is a technique used in strategic management and planning. 

Lotus Diagram

lotus-diagram
A lotus diagram is a creative tool for ideation and brainstorming. The diagram identifies the key concepts from a broad topic for simple analysis or prioritization.

Functional Decomposition

functional-decomposition
Functional decomposition is an analysis method where complex processes are examined by dividing them into their constituent parts. According to the Business Analysis Body of Knowledge (BABOK), functional decomposition “helps manage complexity and reduce uncertainty by breaking down processes, systems, functional areas, or deliverables into their simpler constituent parts and allowing each part to be analyzed independently.”

Multi-Criteria Analysis

multi-criteria-analysis
The multi-criteria analysis provides a systematic approach for ranking adaptation options against multiple decision criteria. These criteria are weighted to reflect their importance relative to other criteria. A multi-criteria analysis (MCA) is a decision-making framework suited to solving problems with many alternative courses of action.

Stakeholder Analysis

stakeholder-analysis
A stakeholder analysis is a process where the participation, interest, and influence level of key project stakeholders is identified. A stakeholder analysis is used to leverage the support of key personnel and purposefully align project teams with wider organizational goals. The analysis can also be used to resolve potential sources of conflict before project commencement.

Strategic Analysis

strategic-analysis
Strategic analysis is a process to understand the organization’s environment and competitive landscape to formulate informed business decisions, to plan for the organizational structure and long-term direction. Strategic planning is also useful to experiment with business model design and assess the fit with the long-term vision of the business.

Related Strategy Concepts: Go-To-Market StrategyMarketing StrategyBusiness ModelsTech Business ModelsJobs-To-Be DoneDesign ThinkingLean Startup CanvasValue ChainValue Proposition CanvasBalanced ScorecardBusiness Model CanvasSWOT AnalysisGrowth HackingBundlingUnbundlingBootstrappingVenture CapitalPorter’s Five ForcesPorter’s Generic StrategiesPorter’s Five ForcesPESTEL AnalysisSWOTPorter’s Diamond ModelAnsoffTechnology Adoption CurveTOWSSOARBalanced ScorecardOKRAgile MethodologyValue PropositionVTDF FrameworkBCG MatrixGE McKinsey MatrixKotter’s 8-Step Change Model.

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