Understanding Process Analysis and Business Improvement through Mapping, Flow Charts, and Rhetorical Patterns
Process analysis is a critical exercise for improving business operations. This article will provide an in-depth look at how process analysis, mapping techniques, flow charts, and rhetorical patterns can lead to greater efficiency, productivity, and insights. Read on to understand the step-by-step methodology behind analyzing processes and unlocking improvement opportunities.
Why Process Analysis Matters: An Introduction to Process Analysis Concepts
Before diving into the details, it's important to understand what process analysis is and why it offers tremendous value. Process analysis refers to the thorough, systematic evaluation and documentation of business operations, systems, workflows, and procedures to uncover improvement opportunities. It gives organizations keen insights into bottleneck areas, redundancies, unnecessary steps, and process components that can be optimized or automated.
The overarching goal is to streamline processes for greater productivity, quality, reduced costs, and increased customer and employee satisfaction. Process analysis helps identify issues and bottlenecks, eliminate manual and redundant tasks, implement automation, and redesign workflows for maximum efficiency. World-class brands rely heavily on techniques like process mapping, flow charts, swim lane diagrams, and other visual representations to analyze their most critical business processes and identify areas for improvement.
Proper process analysis provides a detailed, step-by-step illustration of how a business process operates currently, highlights pain points, and maps out an enhanced future state. It also uncovers the sequence of steps executed, handoffs between teams or systems, inputs and outputs, decision points, and key performance indicators. When done effectively, process analysis offers data-driven insights to boost efficiency, quality, speed, and cost-effectiveness of operations.
Let's explore the core elements and step-by-step methodology behind analyzing and improving business processes using mapping, flow charts, and rhetorical patterns.
Step 1: Identify, Define Scope, and Plan the Process Analysis Initiative
The first step is choosing a specific process, operation, workflow, or procedure to analyze. Common examples include order fulfillment, claims processing, recruitment, IT help desk support, manufacturing production, software development lifecycles, decision approval workflows, dispute resolution processes, and many more.
Select a Priority Process with Clear Goals
The goal is to select a priority business process that significantly impacts key metrics like cycle times, quality, costs, or customer/employee satisfaction. Analyzing processes that are directly aligned to critical success factors offers the greatest returns on investment. Leadership sponsorship is also vital to ensure adequate resourcing and enterprise-wide adoption.
Clearly Define Scope and Goals
It's also crucial to clearly define the scope and goals at this phase by documenting key elements:
Process boundaries – map start point, end point, adjacent processes
Stakeholders – list process owners, participants, and end customers
Inputs and outputs
Supporting technologies/systems
Pain points to address – metrics, bottlenecks, quality issues
Key performance indicators – metrics to track before/after changes
Analysis goals – targets for efficiency, cost, speed, quality, automation etc.
Timelines – analysis, design phases, and implementation dates
Properly framing the scope, business objectives, and key results early on leads to an efficient analysis process with measurable returns.
Step 2: Visually Map and Document the Current Process End-to-End
Next, visually map out how the process currently flows from start to finish in granular detail. This requires directly observing the process in action or thoroughly interviewing the employees, teams, departments, and systems executing each step.
Uncover the As-Is Workflow
Be sure to note:
The exact chronological sequence of discrete steps
Decision points and logic – mappings, rules, exceptions
Handoffs and interdependencies between people, systems, departments
Inputs consumed and outputs generated at each stage
Supporting technologies and tools leveraged
Average processing times for key steps
Metrics captured – cycle times, quality, costs etc.
A detailed process map is crucial for fully understanding the as-is workflow. It also helps uncover disconnects between how leaders think the process operates versus reality. Pay close attention to bottlenecks causing delays, redundant process work, manual handoffs, and steps prone to errors or inconsistencies.
Create End-to-End Process Documentation
In addition to visual maps, detailed written use case documentation, process flows, or standard operating procedures may be created to capture every facet of how the as-is business process operates from end-to-end today:
Handle all key scenarios – happy paths, edge cases, exceptions
Specify policies, business rules, routing logic
Call out integration points to systems, data, and apps
Capture inputs/outputs down to the data attributes level
Thorough documentation ensures all needed context is captured to enable redesign of an improved future state.
Step 3: Identify Issues and Quantify Improvement Opportunities
Now comes the rewarding part - analyzing the process maps and documentation to pinpoint improvement ideas! Look for:
Unnecessary steps that can be eliminated
Manual tasks that could be automated
Policy or condition changes to simplify logic
Usage of outdated legacy systems and tools
Approval bottlenecks causing delays
Potential new technologies to enable
Ordering of steps that could be resequenced
Handoffs between departments that could be consolidated
Steps that could be conducted in parallel vs. sequentially
Identifying redundancies, roadblocks, and leveraging technology enablers leads to huge efficiency gains and cost savings when addressed. The goal is to uncover every possible area where the current process flow could be optimized.
Quantify Business Impact of Addressing Issues
In addition to listing improvement ideas, also project the potential business impact by capturing:
Expected hard dollar cost savings
Forecasted increases in productivity
Reduced cycle times and improved turnaround times
Impact on error rates or other quality metrics
Projected changes in customer satisfaction scores
Other relevant key performance indicators
Building a quantified business case helps secure leadership approval and funding for process enhancement initiatives.
Step 4: Redesign and Map the Future State Workflow
Armed with a list of ideas and expected benefits, it's time to redesign an improved future state process workflow. This future state map incorporates changes based on the pain points and improvement opportunities uncovered earlier.
Showcase how steps would operate more efficiently in an ideal world by calling out changes such as:
Steps that will be eliminated or consolidated
New automated processing via technologies like AI/ML, RPA
Resequenced workstreams to reduce handoffs
New exception handling procedures
Additional quality control validation steps
Getting buy-in from process owners at this phase is critical before attempting full-scale implementation. An improved future state process map allows everyone to visually pinpoint impactful changes compared to current operations.
Ensure Alignment to Goal Metrics
The redesigned process workflow should directly tie to the analysis goals and key results defined early on around quality, cost, speed/cycle time, customer satisfaction, or productivity targets. All stakeholders should understand how proposed changes aim to move core metrics in the right direction.
Step 5: Implement Changes and Measure Business Impact
With a documented analysis report and future state process plan, now comes the execution stage. Roll out changes using a phased roadmap:
Phase 1:
Run pilot process with a subset of transactions
Address lessons learned
Phase 2:
Scale updated process across all applicable areas
Provide ample training where workflow changes impact employees or customers
Refine policies, systems, and procedures based on feedback
Phase 3:
Regularly measure new process performance data
Monitor trends in key process KPIs identified upfront
Identify continuous improvement opportunities
Be sure to measure process metrics before and after modifications using the identified key performance indicators and goals around cost, speed, quality, and satisfaction. Tracking quantifiable results is the only way to make a sound case for the return on investment from analysis and process enhancement initiatives. It also paves the way for leadership support for additional optimization opportunities going forward.
Step 6: Continually Assess and Refine the Business Process
While substantial cumulative gains can be achieved through process analysis and improvement initiatives, the work does not stop after initial enhancements kick in. Markets shift, new technologies emerge, customer expectations evolve, and new innovations surface over time. This means there should be a formal mechanism to continually assess process performance, learn from data, and make additional positive changes where beneficial.
Build Continuous Improvement Culture
Document findings and recommendations from each analysis cycle so future diagnosis can happen more quickly by leveraging lessons learned.
Use data and analytics dashboards to monitor process metrics over time.
Automate reporting to enable rapid responses to trend changes.
Ensure process analysis and refinement responsibility is owned by a dedicated team.
By taking a continuous improvement approach, impactful business process optimizations can compound year-over-year. But it requires executive commitment along with a mature, metrics-driven process analytics culture.
Key Takeaways and Next Steps for Unlocking Impact
Process analysis, when leveraged holistically, delivers immense dividends across operational metrics, employee productivity, and customer satisfaction. Key takeaways include:
On Methodology
Methodically analyze end-to-end processes using techniques like flowchart mapping to quantify current state and find improvement ideas
Target processes aligned to business critical goals around quality, cost, and speed
Identify automation opportunities to eliminate manual work
Redesign processes and workflows for greater efficiency
Pilot changes before full implementation then measure outcomes
On Execution
Fix broken processes before attempting automation
Phase rollout changes while providing employee training
Continually collect data to refine processes and achieve compound gains
Now that you understand the fundamentals behind analyzing and enhancing processes, think about areas ripe for improvement in your organization based on processes causing the biggest customer pain points or financial leakage. Then scope out an initial analysis initiative following the 6-step methodology covered. The operational efficiency gains, cost savings, and revenue returns from thoughtful process improvements may surprise you!
Understanding Process Analysis and Business Improvement through Mapping, Flow Charts, and Rhetorical Patterns
Process analysis is a critical exercise for improving business operations. This article will provide an in-depth look at how process analysis, mapping techniques, flow charts, and rhetorical patterns can lead to greater efficiency, productivity, and insights. Read on to understand the step-by-step methodology behind analyzing processes and unlocking improvement opportunities.
Why Process Analysis Matters: An Introduction to Process Analysis Concepts
Before diving into the details, it's important to understand what process analysis is and why it offers tremendous value. Process analysis refers to the thorough, systematic evaluation and documentation of business operations, systems, workflows, and procedures to uncover improvement opportunities. It gives organizations keen insights into bottleneck areas, redundancies, unnecessary steps, and process components that can be optimized or automated.
The overarching goal is to streamline processes for greater productivity, quality, reduced costs, and increased customer and employee satisfaction. Process analysis helps identify issues and bottlenecks, eliminate manual and redundant tasks, implement automation, and redesign workflows for maximum efficiency. World-class brands rely heavily on techniques like process mapping, flow charts, swim lane diagrams, and other visual representations to analyze their most critical business processes and identify areas for improvement.
Proper process analysis provides a detailed, step-by-step illustration of how a business process operates currently, highlights pain points, and maps out an enhanced future state. It also uncovers the sequence of steps executed, handoffs between teams or systems, inputs and outputs, decision points, and key performance indicators. When done effectively, process analysis offers data-driven insights to boost efficiency, quality, speed, and cost-effectiveness of operations.
Let's explore the core elements and step-by-step methodology behind analyzing and improving business processes using mapping, flow charts, and rhetorical patterns.
Step 1: Identify, Define Scope, and Plan the Process Analysis Initiative
The first step is choosing a specific process, operation, workflow, or procedure to analyze. Common examples include order fulfillment, claims processing, recruitment, IT help desk support, manufacturing production, software development lifecycles, decision approval workflows, dispute resolution processes, and many more.
Select a Priority Process with Clear Goals
The goal is to select a priority business process that significantly impacts key metrics like cycle times, quality, costs, or customer/employee satisfaction. Analyzing processes that are directly aligned to critical success factors offers the greatest returns on investment. Leadership sponsorship is also vital to ensure adequate resourcing and enterprise-wide adoption.
Clearly Define Scope and Goals
It's also crucial to clearly define the scope and goals at this phase by documenting key elements:
Process boundaries – map start point, end point, adjacent processes
Stakeholders – list process owners, participants, and end customers
Inputs and outputs
Supporting technologies/systems
Pain points to address – metrics, bottlenecks, quality issues
Key performance indicators – metrics to track before/after changes
Analysis goals – targets for efficiency, cost, speed, quality, automation etc.
Timelines – analysis, design phases, and implementation dates
Properly framing the scope, business objectives, and key results early on leads to an efficient analysis process with measurable returns.
Step 2: Visually Map and Document the Current Process End-to-End
Next, visually map out how the process currently flows from start to finish in granular detail. This requires directly observing the process in action or thoroughly interviewing the employees, teams, departments, and systems executing each step.
Uncover the As-Is Workflow
Be sure to note:
The exact chronological sequence of discrete steps
Decision points and logic – mappings, rules, exceptions
Handoffs and interdependencies between people, systems, departments
Inputs consumed and outputs generated at each stage
Supporting technologies and tools leveraged
Average processing times for key steps
Metrics captured – cycle times, quality, costs etc.
A detailed process map is crucial for fully understanding the as-is workflow. It also helps uncover disconnects between how leaders think the process operates versus reality. Pay close attention to bottlenecks causing delays, redundant process work, manual handoffs, and steps prone to errors or inconsistencies.
Create End-to-End Process Documentation
In addition to visual maps, detailed written use case documentation, process flows, or standard operating procedures may be created to capture every facet of how the as-is business process operates from end-to-end today:
Handle all key scenarios – happy paths, edge cases, exceptions
Specify policies, business rules, routing logic
Call out integration points to systems, data, and apps
Capture inputs/outputs down to the data attributes level
Thorough documentation ensures all needed context is captured to enable redesign of an improved future state.
Step 3: Identify Issues and Quantify Improvement Opportunities
Now comes the rewarding part - analyzing the process maps and documentation to pinpoint improvement ideas! Look for:
Unnecessary steps that can be eliminated
Manual tasks that could be automated
Policy or condition changes to simplify logic
Usage of outdated legacy systems and tools
Approval bottlenecks causing delays
Potential new technologies to enable
Ordering of steps that could be resequenced
Handoffs between departments that could be consolidated
Steps that could be conducted in parallel vs. sequentially
Identifying redundancies, roadblocks, and leveraging technology enablers leads to huge efficiency gains and cost savings when addressed. The goal is to uncover every possible area where the current process flow could be optimized.
Quantify Business Impact of Addressing Issues
In addition to listing improvement ideas, also project the potential business impact by capturing:
Expected hard dollar cost savings
Forecasted increases in productivity
Reduced cycle times and improved turnaround times
Impact on error rates or other quality metrics
Projected changes in customer satisfaction scores
Other relevant key performance indicators
Building a quantified business case helps secure leadership approval and funding for process enhancement initiatives.
Step 4: Redesign and Map the Future State Workflow
Armed with a list of ideas and expected benefits, it's time to redesign an improved future state process workflow. This future state map incorporates changes based on the pain points and improvement opportunities uncovered earlier.
Showcase how steps would operate more efficiently in an ideal world by calling out changes such as:
Steps that will be eliminated or consolidated
New automated processing via technologies like AI/ML, RPA
Resequenced workstreams to reduce handoffs
New exception handling procedures
Additional quality control validation steps
Getting buy-in from process owners at this phase is critical before attempting full-scale implementation. An improved future state process map allows everyone to visually pinpoint impactful changes compared to current operations.
Ensure Alignment to Goal Metrics
The redesigned process workflow should directly tie to the analysis goals and key results defined early on around quality, cost, speed/cycle time, customer satisfaction, or productivity targets. All stakeholders should understand how proposed changes aim to move core metrics in the right direction.
Step 5: Implement Changes and Measure Business Impact
With a documented analysis report and future state process plan, now comes the execution stage. Roll out changes using a phased roadmap:
Phase 1:
Run pilot process with a subset of transactions
Address lessons learned
Phase 2:
Scale updated process across all applicable areas
Provide ample training where workflow changes impact employees or customers
Refine policies, systems, and procedures based on feedback
Phase 3:
Regularly measure new process performance data
Monitor trends in key process KPIs identified upfront
Identify continuous improvement opportunities
Be sure to measure process metrics before and after modifications using the identified key performance indicators and goals around cost, speed, quality, and satisfaction. Tracking quantifiable results is the only way to make a sound case for the return on investment from analysis and process enhancement initiatives. It also paves the way for leadership support for additional optimization opportunities going forward.
Step 6: Continually Assess and Refine the Business Process
While substantial cumulative gains can be achieved through process analysis and improvement initiatives, the work does not stop after initial enhancements kick in. Markets shift, new technologies emerge, customer expectations evolve, and new innovations surface over time. This means there should be a formal mechanism to continually assess process performance, learn from data, and make additional positive changes where beneficial.
Build Continuous Improvement Culture
Document findings and recommendations from each analysis cycle so future diagnosis can happen more quickly by leveraging lessons learned.
Use data and analytics dashboards to monitor process metrics over time.
Automate reporting to enable rapid responses to trend changes.
Ensure process analysis and refinement responsibility is owned by a dedicated team.
By taking a continuous improvement approach, impactful business process optimizations can compound year-over-year. But it requires executive commitment along with a mature, metrics-driven process analytics culture.
Key Takeaways and Next Steps for Unlocking Impact
Process analysis, when leveraged holistically, delivers immense dividends across operational metrics, employee productivity, and customer satisfaction. Key takeaways include:
On Methodology
Methodically analyze end-to-end processes using techniques like flowchart mapping to quantify current state and find improvement ideas
Target processes aligned to business critical goals around quality, cost, and speed
Identify automation opportunities to eliminate manual work
Redesign processes and workflows for greater efficiency
Pilot changes before full implementation then measure outcomes
On Execution
Fix broken processes before attempting automation
Phase rollout changes while providing employee training
Continually collect data to refine processes and achieve compound gains
Now that you understand the fundamentals behind analyzing and enhancing processes, think about areas ripe for improvement in your organization based on processes causing the biggest customer pain points or financial leakage. Then scope out an initial analysis initiative following the 6-step methodology covered. The operational efficiency gains, cost savings, and revenue returns from thoughtful process improvements may surprise you!
Understanding Process Analysis and Business Improvement through Mapping, Flow Charts, and Rhetorical Patterns
Process analysis is a critical exercise for improving business operations. This article will provide an in-depth look at how process analysis, mapping techniques, flow charts, and rhetorical patterns can lead to greater efficiency, productivity, and insights. Read on to understand the step-by-step methodology behind analyzing processes and unlocking improvement opportunities.
Why Process Analysis Matters: An Introduction to Process Analysis Concepts
Before diving into the details, it's important to understand what process analysis is and why it offers tremendous value. Process analysis refers to the thorough, systematic evaluation and documentation of business operations, systems, workflows, and procedures to uncover improvement opportunities. It gives organizations keen insights into bottleneck areas, redundancies, unnecessary steps, and process components that can be optimized or automated.
The overarching goal is to streamline processes for greater productivity, quality, reduced costs, and increased customer and employee satisfaction. Process analysis helps identify issues and bottlenecks, eliminate manual and redundant tasks, implement automation, and redesign workflows for maximum efficiency. World-class brands rely heavily on techniques like process mapping, flow charts, swim lane diagrams, and other visual representations to analyze their most critical business processes and identify areas for improvement.
Proper process analysis provides a detailed, step-by-step illustration of how a business process operates currently, highlights pain points, and maps out an enhanced future state. It also uncovers the sequence of steps executed, handoffs between teams or systems, inputs and outputs, decision points, and key performance indicators. When done effectively, process analysis offers data-driven insights to boost efficiency, quality, speed, and cost-effectiveness of operations.
Let's explore the core elements and step-by-step methodology behind analyzing and improving business processes using mapping, flow charts, and rhetorical patterns.
Step 1: Identify, Define Scope, and Plan the Process Analysis Initiative
The first step is choosing a specific process, operation, workflow, or procedure to analyze. Common examples include order fulfillment, claims processing, recruitment, IT help desk support, manufacturing production, software development lifecycles, decision approval workflows, dispute resolution processes, and many more.
Select a Priority Process with Clear Goals
The goal is to select a priority business process that significantly impacts key metrics like cycle times, quality, costs, or customer/employee satisfaction. Analyzing processes that are directly aligned to critical success factors offers the greatest returns on investment. Leadership sponsorship is also vital to ensure adequate resourcing and enterprise-wide adoption.
Clearly Define Scope and Goals
It's also crucial to clearly define the scope and goals at this phase by documenting key elements:
Process boundaries – map start point, end point, adjacent processes
Stakeholders – list process owners, participants, and end customers
Inputs and outputs
Supporting technologies/systems
Pain points to address – metrics, bottlenecks, quality issues
Key performance indicators – metrics to track before/after changes
Analysis goals – targets for efficiency, cost, speed, quality, automation etc.
Timelines – analysis, design phases, and implementation dates
Properly framing the scope, business objectives, and key results early on leads to an efficient analysis process with measurable returns.
Step 2: Visually Map and Document the Current Process End-to-End
Next, visually map out how the process currently flows from start to finish in granular detail. This requires directly observing the process in action or thoroughly interviewing the employees, teams, departments, and systems executing each step.
Uncover the As-Is Workflow
Be sure to note:
The exact chronological sequence of discrete steps
Decision points and logic – mappings, rules, exceptions
Handoffs and interdependencies between people, systems, departments
Inputs consumed and outputs generated at each stage
Supporting technologies and tools leveraged
Average processing times for key steps
Metrics captured – cycle times, quality, costs etc.
A detailed process map is crucial for fully understanding the as-is workflow. It also helps uncover disconnects between how leaders think the process operates versus reality. Pay close attention to bottlenecks causing delays, redundant process work, manual handoffs, and steps prone to errors or inconsistencies.
Create End-to-End Process Documentation
In addition to visual maps, detailed written use case documentation, process flows, or standard operating procedures may be created to capture every facet of how the as-is business process operates from end-to-end today:
Handle all key scenarios – happy paths, edge cases, exceptions
Specify policies, business rules, routing logic
Call out integration points to systems, data, and apps
Capture inputs/outputs down to the data attributes level
Thorough documentation ensures all needed context is captured to enable redesign of an improved future state.
Step 3: Identify Issues and Quantify Improvement Opportunities
Now comes the rewarding part - analyzing the process maps and documentation to pinpoint improvement ideas! Look for:
Unnecessary steps that can be eliminated
Manual tasks that could be automated
Policy or condition changes to simplify logic
Usage of outdated legacy systems and tools
Approval bottlenecks causing delays
Potential new technologies to enable
Ordering of steps that could be resequenced
Handoffs between departments that could be consolidated
Steps that could be conducted in parallel vs. sequentially
Identifying redundancies, roadblocks, and leveraging technology enablers leads to huge efficiency gains and cost savings when addressed. The goal is to uncover every possible area where the current process flow could be optimized.
Quantify Business Impact of Addressing Issues
In addition to listing improvement ideas, also project the potential business impact by capturing:
Expected hard dollar cost savings
Forecasted increases in productivity
Reduced cycle times and improved turnaround times
Impact on error rates or other quality metrics
Projected changes in customer satisfaction scores
Other relevant key performance indicators
Building a quantified business case helps secure leadership approval and funding for process enhancement initiatives.
Step 4: Redesign and Map the Future State Workflow
Armed with a list of ideas and expected benefits, it's time to redesign an improved future state process workflow. This future state map incorporates changes based on the pain points and improvement opportunities uncovered earlier.
Showcase how steps would operate more efficiently in an ideal world by calling out changes such as:
Steps that will be eliminated or consolidated
New automated processing via technologies like AI/ML, RPA
Resequenced workstreams to reduce handoffs
New exception handling procedures
Additional quality control validation steps
Getting buy-in from process owners at this phase is critical before attempting full-scale implementation. An improved future state process map allows everyone to visually pinpoint impactful changes compared to current operations.
Ensure Alignment to Goal Metrics
The redesigned process workflow should directly tie to the analysis goals and key results defined early on around quality, cost, speed/cycle time, customer satisfaction, or productivity targets. All stakeholders should understand how proposed changes aim to move core metrics in the right direction.
Step 5: Implement Changes and Measure Business Impact
With a documented analysis report and future state process plan, now comes the execution stage. Roll out changes using a phased roadmap:
Phase 1:
Run pilot process with a subset of transactions
Address lessons learned
Phase 2:
Scale updated process across all applicable areas
Provide ample training where workflow changes impact employees or customers
Refine policies, systems, and procedures based on feedback
Phase 3:
Regularly measure new process performance data
Monitor trends in key process KPIs identified upfront
Identify continuous improvement opportunities
Be sure to measure process metrics before and after modifications using the identified key performance indicators and goals around cost, speed, quality, and satisfaction. Tracking quantifiable results is the only way to make a sound case for the return on investment from analysis and process enhancement initiatives. It also paves the way for leadership support for additional optimization opportunities going forward.
Step 6: Continually Assess and Refine the Business Process
While substantial cumulative gains can be achieved through process analysis and improvement initiatives, the work does not stop after initial enhancements kick in. Markets shift, new technologies emerge, customer expectations evolve, and new innovations surface over time. This means there should be a formal mechanism to continually assess process performance, learn from data, and make additional positive changes where beneficial.
Build Continuous Improvement Culture
Document findings and recommendations from each analysis cycle so future diagnosis can happen more quickly by leveraging lessons learned.
Use data and analytics dashboards to monitor process metrics over time.
Automate reporting to enable rapid responses to trend changes.
Ensure process analysis and refinement responsibility is owned by a dedicated team.
By taking a continuous improvement approach, impactful business process optimizations can compound year-over-year. But it requires executive commitment along with a mature, metrics-driven process analytics culture.
Key Takeaways and Next Steps for Unlocking Impact
Process analysis, when leveraged holistically, delivers immense dividends across operational metrics, employee productivity, and customer satisfaction. Key takeaways include:
On Methodology
Methodically analyze end-to-end processes using techniques like flowchart mapping to quantify current state and find improvement ideas
Target processes aligned to business critical goals around quality, cost, and speed
Identify automation opportunities to eliminate manual work
Redesign processes and workflows for greater efficiency
Pilot changes before full implementation then measure outcomes
On Execution
Fix broken processes before attempting automation
Phase rollout changes while providing employee training
Continually collect data to refine processes and achieve compound gains
Now that you understand the fundamentals behind analyzing and enhancing processes, think about areas ripe for improvement in your organization based on processes causing the biggest customer pain points or financial leakage. Then scope out an initial analysis initiative following the 6-step methodology covered. The operational efficiency gains, cost savings, and revenue returns from thoughtful process improvements may surprise you!