Key Performance Indicators (KPIs) are the quantifiable metrics organisations use to evaluate their progress toward strategic and operational objectives. Selecting the right KPIs for your industry is one of the most consequential decisions a leadership team makes. The wrong metrics create false confidence, drive misaligned behaviour, and obscure the performance issues that actually matter.
This guide provides 75+ KPI examples across five core functions: Finance, Human Resources (HR), Marketing, Operations, and Technology. For each industry, you will find a complete KPI table with names, categories, measurement formulas, and benchmark targets, giving you a practical reference you can apply immediately.
Whether you are building a new performance framework, conducting a KPI audit, or connecting your KPIs to an OKR programme, this resource gives you the industry-specific foundation you need.
What Are KPIs? A Concise Definition
UN Key Performance Indicator (KPI) is a specific, measurable value that demonstrates how effectively an individual, team, department, or organisation is achieving a key business objective. KPIs are tied to strategic goals, reviewed at regular intervals, and used to inform decisions at every level of an organisation.
Effective KPIs share five characteristics: they are specific, measurable, actionable, relevant to strategic priorities, and time-bound (SMART). Each KPI should have a clear data source, a defined owner, a baseline measurement, and a target value.
Why Industry-Specific KPIs Matter
Generic KPIs fail because different industries operate with fundamentally different drivers of success. A Net Profit Margin target that is healthy for a software company may signal underperformance in a logistics business. An HR team in a high-growth tech startup faces entirely different talent acquisition challenges than an HR team in a regulated financial services firm.
Industry-specific KPIs align measurement frameworks to the unique value-creation logic of each function. They ensure that teams are measuring what actually drives performance in their context, not simply tracking metrics because they are easy to calculate.
The five industries covered in this guide represent the most common functional KPI requirements across enterprise and mid-market organisations globally.
Finance KPI Examples
Finance KPIs measure the financial health, profitability, liquidity, and efficiency of an organisation. CFOs, finance directors, and financial controllers use these metrics to assess the sustainability of business operations, identify cost inefficiencies, manage risk, and guide investment decisions.
The five primary categories of Finance KPIs are: profitability, liquidity, leverage, efficiency, and growth. World-class Finance teams do not track all 15 metrics below simultaneously. Instead, they select 5 to 8 that align with their current strategic priorities and review them in a structured cadence.
| KPI Name | Category | What It Measures | Formula / Description | Target / Benchmark |
| Net Profit Margin | Profitability | Percentage of revenue retained after all expenses | (Net Income / Revenue) x 100 | 10-20% typical; varies by sector |
| Gross Profit Margin | Profitability | Revenue remaining after cost of goods sold | (Gross Profit / Revenue) x 100 | >40% for strong-performing businesses |
| EBITDA Margin | Profitability | Operational efficiency before non-cash deductions | (EBITDA / Revenue) x 100 | 15-25% is strong for most sectors |
| Revenue Growth Rate | Growth | Rate at which revenue increases over a period | ((Current Period – Prior Period) / Prior Period) x 100 | >10% year-on-year for growth companies |
| Current Ratio | Liquidity | Ability to cover short-term liabilities | Current Assets / Current Liabilities | 1.5 to 2.0 is healthy |
| Quick Ratio | Liquidity | Ability to meet short-term obligations without selling inventory | (Cash + Receivables) / Current Liabilities | >1.0 is the standard threshold |
| Debt-to-Equity Ratio | Leverage | Financial leverage and overall risk level | Total Liabilities / Shareholders Equity | <2.0 indicates manageable leverage |
| Return on Equity (ROE) | Profitability | Profit generated per unit of shareholder equity | (Net Income / Shareholders Equity) x 100 | 15-20% is considered strong |
| Operating Cash Flow | Cash Management | Cash generated from core business operations | Net Income + Non-Cash Expenses – Working Capital Changes | Positive and growing year-on-year |
| Accounts Receivable Turnover | Efficiency | Speed at which outstanding receivables are collected | Net Credit Sales / Average Accounts Receivable | >8 times per year signals efficiency |
| Customer Acquisition Cost (CAC) | Growth Efficiency | Average spend to acquire one new customer | Total Sales and Marketing Spend / New Customers Acquired | Should be less than one third of LTV |
| Budget Variance | Financial Control | Deviation between actual and planned expenditure | ((Actual – Budget) / Budget) x 100 | Within plus or minus 5% is well controlled |
| Return on Assets (ROA) | Efficiency | Profitability relative to total asset base | (Net Income / Total Assets) x 100 | 5% or above is generally strong |
| Working Capital Ratio | Liquidity | Short-term operational financial health | Current Assets – Current Liabilities | Positive and increasing over time |
| Earnings Per Share (EPS) | Investor Value | Profit allocated to each outstanding share | Net Income / Average Outstanding Shares | Growing year-on-year; sector-specific |
Finance KPIs: Key Insights
Net Profit Margin is the single most scrutinised Finance KPI across industries. It is the definitive measure of whether a business is converting revenue into real value after accounting for all costs.
Operating Cash Flow is a more reliable indicator of short-term financial health than net income alone, because it reflects actual cash generation rather than accounting profits that can be influenced by non-cash items.
EBITDA Margin is the preferred profitability measure for comparisons across companies and industries, and it is frequently used in business valuations and M&A transactions.
Finance teams connecting KPIs to OKRs typically use KPIs such as Revenue Growth Rate and Budget Variance as baseline health metrics and set quarterly OKRs to stretch performance in specific areas.
HR KPI Examples
Human Resources KPIs measure the effectiveness of talent acquisition, employee development, workforce engagement, and people operations. CHROs, HR directors, and people analytics teams use these metrics to build and sustain the human capital that drives organisational performance.
Research from AIHR indicates that organisations with high employee retention rates consistently outperform peers on revenue growth and customer satisfaction. Tracking the right HR KPIs is therefore not an administrative function; it is a strategic priority.
| KPI Name | Category | What It Measures | Formula / Description | Target / Benchmark |
| Employee Turnover Rate | Retention | Percentage of employees who leave over a defined period | (Number of Leavers / Average Headcount) x 100 | Below 10% annually is low; varies by industry |
| Employee Retention Rate | Retention | Percentage of employees who remain over a period | ((Start Headcount – Leavers) / Start Headcount) x 100 | Above 90% is strong |
| Time to Hire | Recruitment | Days from job opening to accepted offer | Date Offer Accepted – Date Job Posted | 14 to 28 days is the average range |
| Cost per Hire | Recruitment | Total investment required to fill one position | Total Recruitment Costs / Number of Hires | US average is approximately $4,700; varies widely |
| Quality of Hire | Recruitment | Performance contribution of new employees in first year | Composite of performance score, retention rate, ramp speed | Above 80% first-year performance rating |
| Absenteeism Rate | Engagement | Scheduled work hours lost to unplanned absences | (Days Absent / Total Scheduled Workdays) x 100 | Below 3% monthly is healthy |
| Employee Net Promoter Score (eNPS) | Engagement | Likelihood of employees recommending the company as an employer | % Promoters minus % Detractors | Above 20 is good; above 50 is excellent |
| Training Completion Rate | Apprentissage et développement | Percentage of employees finishing assigned training programs | (Completions / Assigned Learners) x 100 | Above 85% is the accepted target |
| Internal Promotion Rate | Development | Percentage of open roles filled by internal candidates | (Internal Promotions / Total Open Positions) x 100 | Above 30% signals a healthy talent pipeline |
| Revenue per Employee | Productivité | Revenue generated per full-time equivalent | Total Revenue / Total Employee Headcount | Track as an increasing trend over time |
| Offer Acceptance Rate | Recruitment | Percentage of job offers accepted by candidates | (Accepted Offers / Total Offers Extended) x 100 | Above 85% indicates strong employer brand |
| Time to Productivity | Onboarding | Days until a new hire reaches full performance output | Days from Start Date to Full Performance Milestone | 30 to 90 days depending on role complexity |
| HR-to-Employee Ratio | HR Operations | Staffing efficiency of the HR function itself | HR Staff Count / Total Employee Count | 1 to 100 is typical for mid-size organisations |
| Learning Return on Investment | Development | Financial return generated by training investment | ((Training Benefits – Training Cost) / Training Cost) x 100 | Positive; 20-30% is a solid benchmark |
| Headcount Growth Rate | Workforce Planning | Rate of workforce expansion over a period | ((End Period HC – Start Period HC) / Start Period HC) x 100 | Aligned to revenue growth projections |
HR KPIs: Key Insights
Employee Turnover Rate is the most widely tracked HR KPI and the one with the most direct cost implications. The Society for Human Resource Management (SHRM) estimates the average cost of replacing an employee at between 50% and 200% of annual salary, depending on role complexity.
Employee Net Promoter Score (eNPS) is the fastest and most actionable measure of organisational health. A score above 50 indicates a highly engaged workforce; a score below 0 signals urgent cultural or leadership issues.
Quality of Hire is the most strategically valuable recruitment KPI, yet it is undertracked by most organisations because it requires a composite of data from performance management, retention, and onboarding systems. Organisations with mature OKR programmes typically embed Quality of Hire into quarterly talent review OKRs.
Marketing KPI Examples
Marketing KPIs measure the effectiveness of demand generation, brand building, content strategy, and digital performance. CMOs, marketing directors, and growth teams use these metrics to justify investment, optimise campaign performance, and demonstrate the revenue contribution of marketing activities.
The most important shift in modern marketing measurement is the move from activity-based metrics (impressions, clicks, posts) to outcome-based metrics (pipeline contribution, revenue influence, CLV). Leading marketing organisations connect every major ICP to a downstream revenue outcome.
| KPI Name | Category | What It Measures | Formula / Description | Target / Benchmark |
| Customer Acquisition Cost (CAC) | Demand Generation | Total cost to acquire one new paying customer | Total Marketing and Sales Spend / New Customers Acquired | Should be less than one third of Customer Lifetime Value |
| Customer Lifetime Value (CLV) | Revenue | Total revenue expected across the full customer relationship | Avg Purchase Value x Purchase Frequency x Customer Lifespan | 3 to 5 times CAC is the target ratio |
| Marketing Return on Investment (ROI) | Performance | Revenue generated per unit of marketing spend | ((Revenue from Marketing – Cost) / Cost) x 100 | A 5:1 ratio is considered strong |
| Lead-to-Customer Conversion Rate | Funnel | Percentage of leads that become paying customers | (New Customers / Leads Generated) x 100 | 2 to 5% is typical for B2B organisations |
| Cost per Lead (CPL) | Demand Generation | Average cost to generate one qualified lead | Total Marketing Spend / Total Leads Generated | Varies by channel and industry segment |
| Click-Through Rate (CTR) | Digital Performance | Percentage of viewers who click on an ad or email link | (Clicks / Impressions) x 100 | Email: 2-5%; Display: 0.05-0.3% |
| Organic Traffic Growth | SEO | Month-on-month increase in non-paid website visitors | ((Current Month Visits – Prior Month) / Prior Month) x 100 | Above 5% month-on-month for growth-stage companies |
| Email Open Rate | Email Marketing | Percentage of delivered emails opened by recipients | (Unique Opens / Emails Delivered) x 100 | 20-25% average across industries |
| Marketing Qualified Leads (MQLs) | Lead Generation | Leads meeting criteria agreed with sales for handoff | Count of leads meeting MQL criteria per reporting period | Set against quarterly pipeline targets |
| Website Bounce Rate | Digital | Percentage of visitors leaving without further interaction | (Single-Page Sessions / Total Sessions) x 100 | Below 40% is healthy |
| Score Net Promoter (NPS) | Customer Loyalty | Likelihood customers will recommend the brand | % Promoters minus % Detractors | Above 50 is excellent; above 70 is world class |
| Social Media Engagement Rate | Social Media | Total interactions relative to audience size | (Likes + Comments + Shares) / Followers x 100 | 1 to 5% is considered healthy engagement |
| Pipeline Contribution | Revenue Marketing | Percentage of the sales pipeline originated by marketing | Marketing-Sourced Pipeline / Total Pipeline x 100 | Above 40% for demand-generation-led organisations |
| Content Conversion Rate | Content Marketing | Percentage of content consumers taking a desired action | (Conversions from Content / Content Views) x 100 | Track as an improving internal trend |
| Brand Search Volume Growth | Brand | Increase in branded keyword searches over time | Period-on-period change in branded search query volume | Positive and growing quarter-on-quarter |
Marketing KPIs: Key Insights
The Customer Acquisition Cost to Customer Lifetime Value ratio (CAC:CLV) is the most strategically important ratio in marketing measurement. A CLV of 3 times CAC or higher indicates a sustainable customer acquisition model; below 2 times signals structural revenue risk.
Pipeline Contribution is the most powerful KPI for demonstrating marketing’s impact to the CEO and CFO. Marketing teams that consistently contribute 40% or more of the total sales pipeline earn a seat at the revenue strategy table.
Net Promoter Score (NPS) bridges marketing and customer success. An NPS above 70 creates a natural referral engine that reduces CAC over time, while an NPS below 30 signals that brand promises made in marketing are not being delivered in the customer experience.
Operations KPI Examples
Operations KPIs measure the efficiency, quality, and reliability of production, logistics, and supply chain processes. COOs, operations directors, and plant managers use these metrics to identify bottlenecks, reduce waste, improve output quality, and control costs.
Operations KPIs are particularly important in manufacturing, logistics, retail, and service delivery industries, where small improvements in efficiency or quality can translate into significant cost savings and competitive advantage at scale.
| KPI Name | Category | What It Measures | Formula / Description | Target / Benchmark |
| Overall Equipment Effectiveness (OEE) | Fabrication | Combined measure of availability, performance, and quality | Availability Rate x Performance Rate x Quality Rate | World class: 85%; many facilities operate at 60-70% |
| On-Time Delivery (OTD) | Logistique | Percentage of orders delivered by the committed date | (On-Time Deliveries / Total Deliveries) x 100 | Above 95% is the standard industry benchmark |
| Temps d'un cycle | Efficiency | Average time required to complete one unit of output | Total Production Time / Units Produced | Minimise relative to customer takt time |
| First Pass Yield (FPY) | Quality | Percentage of outputs passing inspection without rework | (Units Passing First Inspection / Total Units Produced) x 100 | Above 95% in high-quality operations |
| Defect Rate | Quality | Proportion of defective outputs per total units produced | (Defective Units / Total Units Produced) x 100 | Below 1% for most manufacturing environments |
| Inventory Turnover | Supply Chain | Rate at which inventory is sold and replaced per period | Cost of Goods Sold / Average Inventory Value | 4 to 6 times per year is typical |
| Order Accuracy Rate | Logistique | Percentage of orders fulfilled correctly without errors | (Accurate Orders / Total Orders Processed) x 100 | Above 99% is top-tier performance |
| Capacity Utilisation Rate | Efficiency | Percentage of total available capacity in active use | (Actual Output / Maximum Possible Output) x 100 | 80 to 90% is optimal for most operations |
| Supply Chain Cost as Percentage of Revenue | Supply Chain | Total supply chain spend relative to total revenue | (Supply Chain Costs / Total Revenue) x 100 | 5 to 10% for efficiently run supply chains |
| Lead Time | Supply Chain | Total elapsed time from order placement to delivery | Delivery Date minus Order Placement Date | Minimise; benchmark varies by product and industry |
| Downtime Rate | Reliability | Percentage of time equipment or processes are unavailable | (Downtime Hours / Total Available Hours) x 100 | Below 5% for most production environments |
| Return Rate | Quality | Percentage of products returned by customers | (Total Returns / Total Units Sold) x 100 | Below 2% signals consistently high product quality |
| Employee Productivity | Workforce | Output generated per employee over a defined period | Total Output / Number of Employees | Track as an increasing trend over time |
| Cost per Unit | Cost Efficiency | Average total cost to produce one unit of output | Total Production Costs / Units Produced | Minimise while maintaining quality standards |
| Operational Cost Ratio | Financial | Operating expenses as a proportion of total revenue | (Operating Expenses / Total Revenue) x 100 | Varies by sector; minimise over time |
Operations KPIs: Key Insights
Overall Equipment Effectiveness (OEE) is the gold standard of manufacturing performance measurement. World-class OEE is defined as 85% or above, but research by McKinsey and Deloitte indicates most manufacturing facilities operate at 60 to 70%, representing significant untapped capacity.
On-Time Delivery (OTD) directly impacts customer satisfaction, contract retention, and revenue. In B2B environments, OTD below 90% is frequently a trigger for contract penalties or customer churn.
First Pass Yield (FPY) is often the most commercially important quality KPI because rework and returns carry hidden costs that extend well beyond the direct cost of materials. Organisations with FPY above 98% typically have 30 to 40% lower quality-related costs than peers.
Technology KPI Examples
Technology KPIs measure the delivery performance, reliability, security, and operational efficiency of IT and software development functions. CTOs, engineering directors, IT managers, and DevOps leads use these metrics to optimise delivery velocity, reduce system failures, and demonstrate the value of technology investment.
The four DORA (DevOps Research and Assessment) metrics are now considered the industry standard for measuring software delivery performance. Research by Google’s DORA team, published in the annual State of DevOps Report, shows that elite-performing technology teams deploy code 973 times more frequently than low-performing teams and recover from incidents 6,570 times faster.
| KPI Name | Category | What It Measures | Formula / Description | Target / Benchmark |
| Deployment Frequency | Livraison | How often code is successfully deployed to production | Number of deployments per day, week, or month | Elite teams: multiple deployments per day |
| Lead Time for Changes | Livraison | Time from code commit to live production deployment | Average hours or days from commit to release | Elite: under 1 hour; High: 1 day to 1 week |
| Change Failure Rate | Quality | Percentage of deployments causing production incidents | (Failed Deployments / Total Deployments) x 100 | Elite: 0-15%; High performing: 16-30% |
| Mean Time to Recovery (MTTR) | Reliability | Average time to restore service following a production incident | Total Downtime / Number of Incidents | Elite: under 1 hour; High: under 1 day |
| System Availability / Uptime | Reliability | Percentage of time systems are operational and accessible | ((Total Time – Downtime) / Total Time) x 100 | 99.9% is standard; 99.99% for mission-critical systems |
| Bug Escape Rate | Quality | Defects that reached production without being caught in testing | (Production Bugs / Total Bugs Identified) x 100 | Below 5% indicates a strong QA process |
| Technical Debt Ratio | Code Quality | Proportion of codebase requiring remediation or refactoring | (Estimated Remediation Cost / Development Cost) x 100 | Below 5% is manageable; above 10% is a risk signal |
| Sprint Velocity | Agile Delivery | Volume of work completed in each sprint cycle | Sum of story points completed per sprint | Consistency matters more than absolute value; track trend |
| SLA Compliance Rate | Service Desk | Percentage of support tickets resolved within agreed SLA timeframes | (Tickets Resolved On Time / Total Tickets) x 100 | Above 95% is the industry standard |
| IT Cost as Percentage of Revenue | Financial | Total IT spend relative to company revenue | (Total IT Expenditure / Total Revenue) x 100 | 3 to 7% for most industries; higher for tech-native companies |
| Security Incident Rate | Sécurité | Number of confirmed security incidents per period | Count of confirmed security incidents per quarter | Zero tolerance for material incidents; track trend |
| Test Coverage | Quality | Percentage of the codebase covered by automated tests | (Lines or Branches Tested / Total Lines or Branches) x 100 | Above 80% is industry best practice |
| Customer Satisfaction Score for IT (CSAT) | Service Desk | End-user satisfaction with IT support and internal services | Average rating from post-ticket surveys (0-5 or 0-100) | Above 4.0 out of 5 is strong |
| Developer Satisfaction Score | People | Morale and engagement within the engineering team | Survey-based eNPS or custom quarterly pulse score | Above 30 eNPS; measure quarterly |
| Infrastructure Cost per Transaction | Cloud Efficiency | Cloud or infrastructure cost per unit of workload processed | Total Infrastructure Cost / Number of Transactions | Decreasing trend indicates improving efficiency |
Technology KPIs: Key Insights
The four DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, and MTTR) are strongly correlated with both organisational performance and employee satisfaction within engineering teams. Improving these four metrics consistently is the fastest path to engineering excellence.
System Uptime above 99.9% (three nines) is the minimum acceptable standard for most customer-facing systems. Mission-critical financial and healthcare platforms typically require four nines (99.99%), equivalent to less than 53 minutes of downtime per year.
Developer Satisfaction Score is one of the most underused Technology KPIs. Research from Stack Overflow and multiple academic studies consistently shows that developer satisfaction is a leading predictor of code quality, deployment frequency, and talent retention within engineering functions.
How to Connect KPIs to OKRs
KPIs and OKRs are complementary, not competing, frameworks. Understanding how they work together is essential for organisations building integrated performance management systems.
KPIs measure ongoing operational health. They are typically stable, tracked continuously, and used to identify when performance deviates from acceptable ranges. OKRs are time-bound goal-setting frameworks used to drive specific, ambitious improvements over a defined period, usually a quarter or a year.
The practical connection works as follows: a KPI that is underperforming or requires a step-change improvement becomes the trigger for an OKR. For example:
Finance example:
KPI: Operating Cash Flow is 12% below target. OKR: Objective: ‘Strengthen operational cash flow in Q3.’ Key Result 1: Reduce average payment collection cycle from 45 to 30 days. Key Result 2: Achieve budget variance below 3% across all cost centres. Key Result 3: Increase CFO-approved forecast accuracy to 92%.
HR example:
KPI: Employee Turnover Rate is 18%, above the 10% target. OKR: Objective: ‘Build a culture where top talent chooses to stay.’ Key Result 1: Increase eNPS from 12 to 35. Key Result 2: Achieve Internal Promotion Rate of 35% for open positions. Key Result 3: Reduce Time to Hire from 42 to 21 days.
This integration creates a performance management system that is both stable (KPIs maintain operational visibility) and dynamic (OKRs drive transformation and improvement).
KPI Best Practices for Performance-Driven Organisations
The following best practices are drawn from the OKR Institute’s experience implementing performance management frameworks across 800+ organisations in 50+ countries.
1. Limit KPIs to what matters most
Track between 5 and 10 KPIs per department. More KPIs create reporting overhead and dilute strategic focus. Every KPI you add should replace one that is less strategically relevant, not simply be added to the list.
2. Connect every KPI to a strategic objective
If you cannot articulate which strategic goal a KPI serves, it is a metric, not a key performance indicator. Effective KPI selection starts with strategy, not with data availability.
3. Establish baselines before setting targets
A KPI without a baseline is a number without context. Before setting improvement targets, invest time in accurate baseline measurement and identify the trend direction over the past 2 to 4 quarters.
4. Assign clear ownership
Every KPI must have a single named owner who is accountable for performance and responsible for the data quality of the measurement. Shared ownership typically means no ownership.
5. Review KPIs in structured cadences
KPIs should be reviewed weekly or monthly at the operational level, monthly or quarterly at the leadership level, and annually for a full strategic reset. Connecting KPI reviews to OKR check-in cadences creates the most efficient integrated review rhythm.
6. Balance leading and lagging indicators
Lagging indicators (Net Profit Margin, Employee Turnover Rate) tell you what has already happened. Leading indicators (Pipeline Contribution, Time to Hire) tell you what is likely to happen. High-performing organisations track both.
How the OKR Institute Supports KPI Excellence
The OKR Institute is a globally recognised provider of OKR certification, KPI training, and performance management programmes, affiliated with Copenhagen Business School. Our programmes are used by over 1,000 organisations across 50+ countries, including IBM, KPMG, Bosch, and Allianz.
Our KPI and performance management training helps organisations:
- Design KPI frameworks aligned to corporate strategy and departmental objectives
- Distinguish between vanity metrics and performance-critical indicators
- Connect KPIs to OKR cycles using our proprietary Team-to-Impact Cycle framework
- Build executive dashboards that give leadership real-time visibility into performance
- Train managers and team leaders to use KPIs as coaching tools, not compliance reports
Available programmes include:
- Certified OKR Professional (C-OKRP): Foundation-level certification covering OKR design, KPI integration, and performance cadences
- Certified OKR Leader (C-OKRL): Leadership-level certification for executives driving organisation-wide performance transformation
- Certified OKR Implementation Expert (C-OKRO): Expert-level certification for practitioners building enterprise performance systems
- Certified OKR Professional Advanced (C-OKRPro): The highest-level OKRI certification for senior practitioners and consultants
All programmes are available online, with cohort-based and self-paced options. Enterprise training and in-house delivery are available for organisations deploying KPI and OKR frameworks at scale.
Frequently Asked Questions: KPI Examples by Industry
What are KPIs and why do they matter?
Key Performance Indicators (KPIs) are quantifiable metrics that measure how effectively an organisation achieves its key business objectives. KPIs matter because they convert strategy into measurable outcomes, enabling leaders to track progress, identify issues early, and make data-driven decisions.
What is the difference between KPIs and OKRs?
KPIs measure ongoing operational health and are typically stable over time. OKRs (Objectives and Key Results) are time-bound goal-setting frameworks used to drive strategic change and stretch performance. KPIs answer ‘how are we performing?’ while OKRs answer ‘what do we want to achieve this quarter?’ The most effective organisations use both: KPIs to monitor the baseline, OKRs to drive transformation.
How many KPIs should a department track?
Research and best practice suggest tracking between 5 and 10 KPIs per department. Tracking too many KPIs dilutes focus and creates reporting overhead without improving decisions. Each KPI should be directly linked to a strategic objective or operational priority.
What makes a good KPI?
A good KPI is specific, measurable, actionable, relevant to strategic goals, and time-bound (SMART). It should have a clear owner, a defined data source, and a baseline and target. Effective KPIs are reviewed regularly and drive decisions, not just reports.
What are the most important Finance KPIs?
The most important Finance KPIs include Net Profit Margin, Gross Profit Margin, Revenue Growth Rate, Operating Cash Flow, and the Current Ratio. Together these cover profitability, growth, liquidity, and efficiency, which are the four pillars of financial health.
What are the most important HR KPIs?
The most critical HR KPIs are Employee Turnover Rate, Time to Hire, Employee Net Promoter Score (eNPS), Quality of Hire, and Internal Promotion Rate. These cover the full talent lifecycle: acquisition, retention, engagement, and development.
What are the most important Marketing KPIs?
Leading marketing teams prioritise Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), Lead-to-Customer Conversion Rate, Marketing ROI, and Pipeline Contribution. These connect marketing activity directly to revenue outcomes.
What are the DORA metrics in Technology?
DORA (DevOps Research and Assessment) metrics are four KPIs that measure software delivery performance: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). High-performing engineering teams aim for elite ratings across all four metrics.
How do OKRs connect to KPIs?
KPIs serve as the baseline health metrics for each function. OKRs are used to improve or stretch those KPIs over a defined period. For example, if the Finance KPI for Operating Cash Flow is currently below target, a team might set an OKR with the objective ‘Strengthen cash flow position’ and Key Results tied to specific improvement milestones.
How can organisations get KPI certification or training?
The OKR Institute offers dedicated KPI training and certification programmes that teach professionals how to design, implement, and manage KPI frameworks aligned to organisational strategy. Courses are available online and are used by organisations including IBM, KPMG, Bosch, and Allianz across 50+ countries.
Estimated reading time: 20 minutes
Table of contents
- What Are KPIs? A Concise Definition
- Why Industry-Specific KPIs Matter
- Finance KPI Examples
- HR KPI Examples
- Marketing KPI Examples
- Operations KPI Examples
- Technology KPI Examples
- How to Connect KPIs to OKRs
- KPI Best Practices for Performance-Driven Organisations
- How the OKR Institute Supports KPI Excellence
- Frequently Asked Questions: KPI Examples by Industry
- What are KPIs and why do they matter?
- What is the difference between KPIs and OKRs?
- How many KPIs should a department track?
- What makes a good KPI?
- What are the most important Finance KPIs?
- What are the most important HR KPIs?
- What are the most important Marketing KPIs?
- What are the DORA metrics in Technology?
- How do OKRs connect to KPIs?
- How can organisations get KPI certification or training?