Loudoun County Sheriff’s Office: Instant, in-house staffing analysis to optimize patrol
Mar 28, 2025
“Their system basically ingests all of our CAD data, and it’s able to spit out highly complex calculations really fast. We do a ton of analytics that would have been, frankly, impossible for us to compute without Peregrine.”

Lt. Col. Chris Sawyer
Loudoun County Sheriff's Office
The Loudoun County Sheriff’s Office (LCSO) leveraged Peregrine to assess its patrol staffing based on recommendations from the International Association of Chiefs of Police (IACP).
Peregrine analyzed computer-aided dispatch (CAD) data to determine how deputies were spending their shift time and identify inefficiencies.
The LCSO used Peregrine’s analysis to recalculate its minimum staffing requirements and secure county funding for 14 additional deputies.
LCSO leaders have proposed new, more efficient patrol shift schedules based on the results of their staffing analysis.
In April 2022, the IACP conducted a feasibility study of Virginia’s largest full-service sheriff’s office, the LCSO, to evaluate the agency’s lines of business for the county government. The association concluded its study with a list of recommendations, including “that the LCSO conduct as part of their annual workload analysis a temporal analysis to identify the most efficient and effective hours for their patrol deputy shifts.”
That recommendation sparked questions within the LCSO:
How are we calculating our minimum patrol staffing requirements, and how should we be calculating them?
How can we rethink our current shift model to make patrol officers more visible, more effective, and more aligned to the daily workload?
How do we balance efficiency and community demands on the department with officer wellness and actual resources?
To answer those questions, the LCSO turned to Peregrine.
Key outcomes
The Loudoun County Sheriff’s Office used Peregrine to run a complex analysis of the agency’s patrol staffing and shifts. That analysis empowered LCSO leaders to:
Use workload data, rather than historical precedent or instinct alone, to inform minimum staffing requirements
Leverage objective, demonstrable data to request additional staffing resources from the county, resulting in the approval of 14 new deputy positions
Propose more efficient shift structures based on staffing best practices and historical trends in call volumes and response times
Conduct staffing analyses in minutes, as often as needed, and at a lower price point compared to consulting services
Workload analysis made efficient
Law enforcement agencies often use consultants to conduct workload and staffing analyses. However, a one-time analysis from a consultant can cost hundreds of thousands of dollars and take weeks, if not months, to complete. Also, in most cases, a consultant’s analysis only addresses one static snapshot in time. So when the IACP delivered its recommendations to the LCSO, the agency chose a different path: finding an on-demand solution for fast, self-serve workload analyses, at a lower price point.
Why Peregrine?
The LCSO had previously onboarded Peregrine to integrate agency data generated by nearly 40 departments across dozens of information systems — including a CAD system. CAD data gives insight into patrol workloads and staffing needs by revealing trends in calls for service (CFS) and unit response times. Peregrine already contained the LCSO’s CAD data, making it the natural choice for a workload analysis.
“Their system basically ingests all of our CAD data, and it’s able to spit out highly complex calculations really fast,” said LCSO Lt. Col. Christopher Sawyer. “We do a ton of analytics that would have been, frankly, impossible for us to compute without Peregrine.”
The value of effective integration
Historically, the LCSO's staffing choices were based primarily on precedent, according to Lt. Col. Sawyer. But Peregrine paved the way for more data-backed decision-making.
Through data integration, Peregrine enabled the LCSO to:
Analyze and identify trends in 911 call volumes and officer response times
Overlay those trends with industry best practices to calculate minimum patrol staffing requirements
Make more informed, effective choices to improve officer wellness and public safety
Such complex analysis wouldn’t be feasible on your own without a data integration platform, Sawyer said.
“You need a data integration system to do this, because if you were trying to do this off of Excel spreadsheets and do all of this yourself, it would take way too much time,” he explained. “But with Peregrine, you can do these computations extremely fast.”
Patrol staffing best practices
For a benchmark for how patrol shifts should break down, Peregrine and the LCSO referred to best practices recommended by the IACP and the Office of Community Oriented Policing Services (COPS). According to the IACP and COPS, a patrol officer should spend:
30% of their time proactively policing via self-initiated police activity (SIFA)
30% of their time responding to calls for service (non-SIFA)
30% of their time on administrative work
10% of their time on personal activities
The Peregrine team worked closely with LCSO command staff to sift through the agency’s CAD data and systematically tag each CFS and corresponding unit response as either SIFA or non-SIFA depending on the call type, call source, unit code, and other key criteria. They then ran an analysis to see how much time Loudoun’s patrol officers actually spent on SIFA versus non-SIFA during their shifts, relative to the benchmark. They subsequently modeled and analyzed the average number of deputies on patrol over the course of each day.
Building a unit incident model
To get the actual breakdown of patrol officers’ time across each day, Peregrine implemented a unit incident model, which looks at the following metrics for each CFS:
Whether the call qualifies as SIFA or non-SIFA
How many units respond to the call
Each unit’s response time
The total time each unit spends on the incident

Peregrine applied the unit incident model to calculate the average number of total man hours Loudoun's patrol deputies collectively spent on SIFA calls during each hour of the day. The resulting analysis revealed dips in SIFA during times where there were higher volumes of non-SIFA calls.

LCSO Maj. David Hill noted that the dips made sense — officers who are busy responding to non-SIFA calls have less time for proactive policing. But the dips also happened during the late afternoons and early evenings, which are high-traffic hours for many communities.
“The optics aren’t good if the hours when most people are out and about are the same hours when cops are the most preoccupied. People complain that they would like to see more deputies in their neighborhood,” Hill explained. “If we can manage the workload side, and we can have the right number of people on duty to handle the workload, we can also have the right number of people out there being proactive, hard-working cops.”
Calculating minimum staffing requirements
After determining the average time spent on SIFA calls per hour across all four sheriff’s office stations, Peregrine:
Calculated the minimum number of deputies required per hour to both handle the workload and ensure compliance with the 30-30-30-10 staffing benchmark
Compared the minimum deputy requirements with actual staffing numbers to identify staffing surpluses and deficits at various points throughout the day
Used a shift relief factor to account for outliers, such as time spent on training and leave
Determined the total number of patrol officers the LCSO had to hire for its current shift schedule to meet demand and follow best practices


Maj. Hill said that while unit incident model shouldn’t be the sole deciding factor when it comes to patrol staffing, it does provide insight into staffing needs throughout the week.
“Response times aren’t a direct measure of your staffing,” Hill said. “We can’t specifically go, X number of deputies is going to increase or decrease your response times. But there’s a correlation.”
Re-evaluating shift schedules
LCSO leadership used Peregrine’s analysis to inform a proposed overhaul of the agency’s patrol shift model. By aligning shifts and staffing to the workload-based model, LCSO leadership aims to better match the times that consistently see more calls for service and longer unit response times so the sheriff’s office can:
Better align patrol staffing with CFS demand trends
Improve incident response times
Improve second-unit arrival times, enhancing officer safety
Increase officer visibility in prime hours
Provide more SIFA in prime hours

Though the proposed shift model would increase coverage during peak hours, it would also reduce overall minimum staffing requirements, from 84 assigned deputies to 76.
Still, “efficiency is not the only name of the game” when it comes to patrol staffing, according to Maj. Hill. When determining shift schedules, he said, it’s critical to weigh priorities and strike a balance between efficiency and wellness, such as trying to get the midnight shift staff home before the sun comes up.
“When you start making your model, you need to figure out what’s important to your organization and how it is that you’re going to slice things out,” Hill said. “I think this is the greatest thing about our new system and our relationship with Peregrine. We’ve had all this data for years, but we could never get it [right] ... Now, we can do it. I can do most of these reports on my computer, and I am not a computer programmer.”
An integrated approach to patrol staffing
Peregrine empowered the Loudoun County Sheriff’s Office to conduct complex workload analyses in-house. As a result, the agency was able to make data-informed changes to its minimum staffing requirements, optimize its patrol shift model, and secure resources for additional deputies from the Loudoun County Board of Supervisors.
“This past budget cycle, we went in front of our Board of Supervisors and talked all this through,” Sawyer said. “I think it resonated with them, and they gave us 14 additional positions.”
He said it was valuable to back up the LCSO's request for additional resources with objective, reliable data from Peregrine.
“These aren’t my numbers; these are industry best practices and standards established by the IACP,” Sawyer said. “That worked very well for us.”
Contact our team to learn how Peregrine’s data integration technology can provide your agency with fast, affordable workload analysis services — accessible whenever you need them. And to explore the full potential of data integration in law enforcement, download our e-book, 21st Century Policing.
The Loudoun County Sheriff’s Office (LCSO) leveraged Peregrine to assess its patrol staffing based on recommendations from the International Association of Chiefs of Police (IACP).
Peregrine analyzed computer-aided dispatch (CAD) data to determine how deputies were spending their shift time and identify inefficiencies.
The LCSO used Peregrine’s analysis to recalculate its minimum staffing requirements and secure county funding for 14 additional deputies.
LCSO leaders have proposed new, more efficient patrol shift schedules based on the results of their staffing analysis.
In April 2022, the IACP conducted a feasibility study of Virginia’s largest full-service sheriff’s office, the LCSO, to evaluate the agency’s lines of business for the county government. The association concluded its study with a list of recommendations, including “that the LCSO conduct as part of their annual workload analysis a temporal analysis to identify the most efficient and effective hours for their patrol deputy shifts.”
That recommendation sparked questions within the LCSO:
How are we calculating our minimum patrol staffing requirements, and how should we be calculating them?
How can we rethink our current shift model to make patrol officers more visible, more effective, and more aligned to the daily workload?
How do we balance efficiency and community demands on the department with officer wellness and actual resources?
To answer those questions, the LCSO turned to Peregrine.
Key outcomes
The Loudoun County Sheriff’s Office used Peregrine to run a complex analysis of the agency’s patrol staffing and shifts. That analysis empowered LCSO leaders to:
Use workload data, rather than historical precedent or instinct alone, to inform minimum staffing requirements
Leverage objective, demonstrable data to request additional staffing resources from the county, resulting in the approval of 14 new deputy positions
Propose more efficient shift structures based on staffing best practices and historical trends in call volumes and response times
Conduct staffing analyses in minutes, as often as needed, and at a lower price point compared to consulting services
Workload analysis made efficient
Law enforcement agencies often use consultants to conduct workload and staffing analyses. However, a one-time analysis from a consultant can cost hundreds of thousands of dollars and take weeks, if not months, to complete. Also, in most cases, a consultant’s analysis only addresses one static snapshot in time. So when the IACP delivered its recommendations to the LCSO, the agency chose a different path: finding an on-demand solution for fast, self-serve workload analyses, at a lower price point.
Why Peregrine?
The LCSO had previously onboarded Peregrine to integrate agency data generated by nearly 40 departments across dozens of information systems — including a CAD system. CAD data gives insight into patrol workloads and staffing needs by revealing trends in calls for service (CFS) and unit response times. Peregrine already contained the LCSO’s CAD data, making it the natural choice for a workload analysis.
“Their system basically ingests all of our CAD data, and it’s able to spit out highly complex calculations really fast,” said LCSO Lt. Col. Christopher Sawyer. “We do a ton of analytics that would have been, frankly, impossible for us to compute without Peregrine.”
The value of effective integration
Historically, the LCSO's staffing choices were based primarily on precedent, according to Lt. Col. Sawyer. But Peregrine paved the way for more data-backed decision-making.
Through data integration, Peregrine enabled the LCSO to:
Analyze and identify trends in 911 call volumes and officer response times
Overlay those trends with industry best practices to calculate minimum patrol staffing requirements
Make more informed, effective choices to improve officer wellness and public safety
Such complex analysis wouldn’t be feasible on your own without a data integration platform, Sawyer said.
“You need a data integration system to do this, because if you were trying to do this off of Excel spreadsheets and do all of this yourself, it would take way too much time,” he explained. “But with Peregrine, you can do these computations extremely fast.”
Patrol staffing best practices
For a benchmark for how patrol shifts should break down, Peregrine and the LCSO referred to best practices recommended by the IACP and the Office of Community Oriented Policing Services (COPS). According to the IACP and COPS, a patrol officer should spend:
30% of their time proactively policing via self-initiated police activity (SIFA)
30% of their time responding to calls for service (non-SIFA)
30% of their time on administrative work
10% of their time on personal activities
The Peregrine team worked closely with LCSO command staff to sift through the agency’s CAD data and systematically tag each CFS and corresponding unit response as either SIFA or non-SIFA depending on the call type, call source, unit code, and other key criteria. They then ran an analysis to see how much time Loudoun’s patrol officers actually spent on SIFA versus non-SIFA during their shifts, relative to the benchmark. They subsequently modeled and analyzed the average number of deputies on patrol over the course of each day.
Building a unit incident model
To get the actual breakdown of patrol officers’ time across each day, Peregrine implemented a unit incident model, which looks at the following metrics for each CFS:
Whether the call qualifies as SIFA or non-SIFA
How many units respond to the call
Each unit’s response time
The total time each unit spends on the incident

Peregrine applied the unit incident model to calculate the average number of total man hours Loudoun's patrol deputies collectively spent on SIFA calls during each hour of the day. The resulting analysis revealed dips in SIFA during times where there were higher volumes of non-SIFA calls.

LCSO Maj. David Hill noted that the dips made sense — officers who are busy responding to non-SIFA calls have less time for proactive policing. But the dips also happened during the late afternoons and early evenings, which are high-traffic hours for many communities.
“The optics aren’t good if the hours when most people are out and about are the same hours when cops are the most preoccupied. People complain that they would like to see more deputies in their neighborhood,” Hill explained. “If we can manage the workload side, and we can have the right number of people on duty to handle the workload, we can also have the right number of people out there being proactive, hard-working cops.”
Calculating minimum staffing requirements
After determining the average time spent on SIFA calls per hour across all four sheriff’s office stations, Peregrine:
Calculated the minimum number of deputies required per hour to both handle the workload and ensure compliance with the 30-30-30-10 staffing benchmark
Compared the minimum deputy requirements with actual staffing numbers to identify staffing surpluses and deficits at various points throughout the day
Used a shift relief factor to account for outliers, such as time spent on training and leave
Determined the total number of patrol officers the LCSO had to hire for its current shift schedule to meet demand and follow best practices


Maj. Hill said that while unit incident model shouldn’t be the sole deciding factor when it comes to patrol staffing, it does provide insight into staffing needs throughout the week.
“Response times aren’t a direct measure of your staffing,” Hill said. “We can’t specifically go, X number of deputies is going to increase or decrease your response times. But there’s a correlation.”
Re-evaluating shift schedules
LCSO leadership used Peregrine’s analysis to inform a proposed overhaul of the agency’s patrol shift model. By aligning shifts and staffing to the workload-based model, LCSO leadership aims to better match the times that consistently see more calls for service and longer unit response times so the sheriff’s office can:
Better align patrol staffing with CFS demand trends
Improve incident response times
Improve second-unit arrival times, enhancing officer safety
Increase officer visibility in prime hours
Provide more SIFA in prime hours

Though the proposed shift model would increase coverage during peak hours, it would also reduce overall minimum staffing requirements, from 84 assigned deputies to 76.
Still, “efficiency is not the only name of the game” when it comes to patrol staffing, according to Maj. Hill. When determining shift schedules, he said, it’s critical to weigh priorities and strike a balance between efficiency and wellness, such as trying to get the midnight shift staff home before the sun comes up.
“When you start making your model, you need to figure out what’s important to your organization and how it is that you’re going to slice things out,” Hill said. “I think this is the greatest thing about our new system and our relationship with Peregrine. We’ve had all this data for years, but we could never get it [right] ... Now, we can do it. I can do most of these reports on my computer, and I am not a computer programmer.”
An integrated approach to patrol staffing
Peregrine empowered the Loudoun County Sheriff’s Office to conduct complex workload analyses in-house. As a result, the agency was able to make data-informed changes to its minimum staffing requirements, optimize its patrol shift model, and secure resources for additional deputies from the Loudoun County Board of Supervisors.
“This past budget cycle, we went in front of our Board of Supervisors and talked all this through,” Sawyer said. “I think it resonated with them, and they gave us 14 additional positions.”
He said it was valuable to back up the LCSO's request for additional resources with objective, reliable data from Peregrine.
“These aren’t my numbers; these are industry best practices and standards established by the IACP,” Sawyer said. “That worked very well for us.”
Contact our team to learn how Peregrine’s data integration technology can provide your agency with fast, affordable workload analysis services — accessible whenever you need them. And to explore the full potential of data integration in law enforcement, download our e-book, 21st Century Policing.
The Loudoun County Sheriff’s Office (LCSO) leveraged Peregrine to assess its patrol staffing based on recommendations from the International Association of Chiefs of Police (IACP).
Peregrine analyzed computer-aided dispatch (CAD) data to determine how deputies were spending their shift time and identify inefficiencies.
The LCSO used Peregrine’s analysis to recalculate its minimum staffing requirements and secure county funding for 14 additional deputies.
LCSO leaders have proposed new, more efficient patrol shift schedules based on the results of their staffing analysis.
In April 2022, the IACP conducted a feasibility study of Virginia’s largest full-service sheriff’s office, the LCSO, to evaluate the agency’s lines of business for the county government. The association concluded its study with a list of recommendations, including “that the LCSO conduct as part of their annual workload analysis a temporal analysis to identify the most efficient and effective hours for their patrol deputy shifts.”
That recommendation sparked questions within the LCSO:
How are we calculating our minimum patrol staffing requirements, and how should we be calculating them?
How can we rethink our current shift model to make patrol officers more visible, more effective, and more aligned to the daily workload?
How do we balance efficiency and community demands on the department with officer wellness and actual resources?
To answer those questions, the LCSO turned to Peregrine.
Key outcomes
The Loudoun County Sheriff’s Office used Peregrine to run a complex analysis of the agency’s patrol staffing and shifts. That analysis empowered LCSO leaders to:
Use workload data, rather than historical precedent or instinct alone, to inform minimum staffing requirements
Leverage objective, demonstrable data to request additional staffing resources from the county, resulting in the approval of 14 new deputy positions
Propose more efficient shift structures based on staffing best practices and historical trends in call volumes and response times
Conduct staffing analyses in minutes, as often as needed, and at a lower price point compared to consulting services
Workload analysis made efficient
Law enforcement agencies often use consultants to conduct workload and staffing analyses. However, a one-time analysis from a consultant can cost hundreds of thousands of dollars and take weeks, if not months, to complete. Also, in most cases, a consultant’s analysis only addresses one static snapshot in time. So when the IACP delivered its recommendations to the LCSO, the agency chose a different path: finding an on-demand solution for fast, self-serve workload analyses, at a lower price point.
Why Peregrine?
The LCSO had previously onboarded Peregrine to integrate agency data generated by nearly 40 departments across dozens of information systems — including a CAD system. CAD data gives insight into patrol workloads and staffing needs by revealing trends in calls for service (CFS) and unit response times. Peregrine already contained the LCSO’s CAD data, making it the natural choice for a workload analysis.
“Their system basically ingests all of our CAD data, and it’s able to spit out highly complex calculations really fast,” said LCSO Lt. Col. Christopher Sawyer. “We do a ton of analytics that would have been, frankly, impossible for us to compute without Peregrine.”
The value of effective integration
Historically, the LCSO's staffing choices were based primarily on precedent, according to Lt. Col. Sawyer. But Peregrine paved the way for more data-backed decision-making.
Through data integration, Peregrine enabled the LCSO to:
Analyze and identify trends in 911 call volumes and officer response times
Overlay those trends with industry best practices to calculate minimum patrol staffing requirements
Make more informed, effective choices to improve officer wellness and public safety
Such complex analysis wouldn’t be feasible on your own without a data integration platform, Sawyer said.
“You need a data integration system to do this, because if you were trying to do this off of Excel spreadsheets and do all of this yourself, it would take way too much time,” he explained. “But with Peregrine, you can do these computations extremely fast.”
Patrol staffing best practices
For a benchmark for how patrol shifts should break down, Peregrine and the LCSO referred to best practices recommended by the IACP and the Office of Community Oriented Policing Services (COPS). According to the IACP and COPS, a patrol officer should spend:
30% of their time proactively policing via self-initiated police activity (SIFA)
30% of their time responding to calls for service (non-SIFA)
30% of their time on administrative work
10% of their time on personal activities
The Peregrine team worked closely with LCSO command staff to sift through the agency’s CAD data and systematically tag each CFS and corresponding unit response as either SIFA or non-SIFA depending on the call type, call source, unit code, and other key criteria. They then ran an analysis to see how much time Loudoun’s patrol officers actually spent on SIFA versus non-SIFA during their shifts, relative to the benchmark. They subsequently modeled and analyzed the average number of deputies on patrol over the course of each day.
Building a unit incident model
To get the actual breakdown of patrol officers’ time across each day, Peregrine implemented a unit incident model, which looks at the following metrics for each CFS:
Whether the call qualifies as SIFA or non-SIFA
How many units respond to the call
Each unit’s response time
The total time each unit spends on the incident

Peregrine applied the unit incident model to calculate the average number of total man hours Loudoun's patrol deputies collectively spent on SIFA calls during each hour of the day. The resulting analysis revealed dips in SIFA during times where there were higher volumes of non-SIFA calls.

LCSO Maj. David Hill noted that the dips made sense — officers who are busy responding to non-SIFA calls have less time for proactive policing. But the dips also happened during the late afternoons and early evenings, which are high-traffic hours for many communities.
“The optics aren’t good if the hours when most people are out and about are the same hours when cops are the most preoccupied. People complain that they would like to see more deputies in their neighborhood,” Hill explained. “If we can manage the workload side, and we can have the right number of people on duty to handle the workload, we can also have the right number of people out there being proactive, hard-working cops.”
Calculating minimum staffing requirements
After determining the average time spent on SIFA calls per hour across all four sheriff’s office stations, Peregrine:
Calculated the minimum number of deputies required per hour to both handle the workload and ensure compliance with the 30-30-30-10 staffing benchmark
Compared the minimum deputy requirements with actual staffing numbers to identify staffing surpluses and deficits at various points throughout the day
Used a shift relief factor to account for outliers, such as time spent on training and leave
Determined the total number of patrol officers the LCSO had to hire for its current shift schedule to meet demand and follow best practices


Maj. Hill said that while unit incident model shouldn’t be the sole deciding factor when it comes to patrol staffing, it does provide insight into staffing needs throughout the week.
“Response times aren’t a direct measure of your staffing,” Hill said. “We can’t specifically go, X number of deputies is going to increase or decrease your response times. But there’s a correlation.”
Re-evaluating shift schedules
LCSO leadership used Peregrine’s analysis to inform a proposed overhaul of the agency’s patrol shift model. By aligning shifts and staffing to the workload-based model, LCSO leadership aims to better match the times that consistently see more calls for service and longer unit response times so the sheriff’s office can:
Better align patrol staffing with CFS demand trends
Improve incident response times
Improve second-unit arrival times, enhancing officer safety
Increase officer visibility in prime hours
Provide more SIFA in prime hours

Though the proposed shift model would increase coverage during peak hours, it would also reduce overall minimum staffing requirements, from 84 assigned deputies to 76.
Still, “efficiency is not the only name of the game” when it comes to patrol staffing, according to Maj. Hill. When determining shift schedules, he said, it’s critical to weigh priorities and strike a balance between efficiency and wellness, such as trying to get the midnight shift staff home before the sun comes up.
“When you start making your model, you need to figure out what’s important to your organization and how it is that you’re going to slice things out,” Hill said. “I think this is the greatest thing about our new system and our relationship with Peregrine. We’ve had all this data for years, but we could never get it [right] ... Now, we can do it. I can do most of these reports on my computer, and I am not a computer programmer.”
An integrated approach to patrol staffing
Peregrine empowered the Loudoun County Sheriff’s Office to conduct complex workload analyses in-house. As a result, the agency was able to make data-informed changes to its minimum staffing requirements, optimize its patrol shift model, and secure resources for additional deputies from the Loudoun County Board of Supervisors.
“This past budget cycle, we went in front of our Board of Supervisors and talked all this through,” Sawyer said. “I think it resonated with them, and they gave us 14 additional positions.”
He said it was valuable to back up the LCSO's request for additional resources with objective, reliable data from Peregrine.
“These aren’t my numbers; these are industry best practices and standards established by the IACP,” Sawyer said. “That worked very well for us.”
Contact our team to learn how Peregrine’s data integration technology can provide your agency with fast, affordable workload analysis services — accessible whenever you need them. And to explore the full potential of data integration in law enforcement, download our e-book, 21st Century Policing.

Better, faster
decisions
in 90 days
Better, faster
decisions
in 90 days