Lead and Lag Measures (Leading and Lagging Indicators)

The best lead and lag measures examples come in pairs: a lag measure is the result you want, such as monthly revenue or customer churn, and a lead measure is the weekly behaviour that predicts it, such as qualified sales conversations or onboarding calls completed. You cannot change last month’s result. You can change this week’s behaviour. Pick one lag measure, add one or two lead measures your team controls, and track both on a visible weekly scoreboard.

This guide gives you ready-made pairs for sales, customer service, operations and other teams, a test for telling a good lead measure from a bad one, and a 4-week scoreboard layout you can copy today.

What are lead and lag measures?

Most managers already track lag measures. Revenue, profit, churn, defect rate and on-time delivery are all lag measures: they tell you how the past went. They matter, because they are what owners, investors and customers care about. The problem is timing. By the time a lag measure arrives, the work that produced it is finished.

The terms were made popular by The 4 Disciplines of Execution (2012) by Chris McChesney, Sean Covey and Jim Huling of FranklinCovey. Acting on lead measures is the second of their four disciplines. The underlying idea is older. In their 1992 Harvard Business Review article on the balanced scorecard, Robert Kaplan and David Norton argued that financial measures alone describe the results of past actions, and that companies should add operational measures that drive future financial performance.

A simple way to remember it: the lag measure is the scoreboard at the end of the game. The lead measure is the number of good shots you take during the game.

Leading vs lagging indicators: what is the difference?

You will see “leading and lagging indicators” in finance, economics and KPI guides, and “lead and lag measures” in execution and coaching books. They describe the same split, with one important difference in strictness.

KPI.org, the site of the Balanced Scorecard Institute, describes a leading indicator as one that predicts future performance and a lagging indicator as one that reflects past performance. Its example is personal: daily calorie intake leads, body weight lags. The 4DX authors add a second condition. A lead measure must also be influenceable, meaning the team can move it directly without waiting for someone else.

Lag measures vs lead measures at a glance

	Lag measure	Lead measure
What it tells you	Whether you got the result	Whether you are doing what produces the result
When you see it	After the period ends	Daily or weekly, while you can still act
Can the team change it today?	No, only indirectly	Yes, by changing behaviour
Typical examples	Revenue, churn, profit, defects	Calls, follow-ups, checks, reviews completed
Main risk	Arrives too late to fix	Tracking activity that does not predict the result
Who usually owns it	Leaders and the business	The people doing the work

Many economic indicators “lead” without being influenceable by any one person, such as interest rates. That is fine for forecasting. For managing a team, stick to the stricter 4DX definition: predictive and within the team’s control.

Lead and lag measures examples by function

Use the table below as a starting menu. Each row pairs one lag measure with lead measures that often predict it. Treat them as hypotheses to test in your own business, not as proven formulas.

Team	Lag measure (the result)	Lead measures (weekly behaviours)
Sales (B2B)	New revenue per month	Discovery calls held per rep; proposals sent within 48 hours of a meeting
Sales (B2B)	Win rate on proposals	Share of proposals with a confirmed decision-maker meeting before sending
Sales (retail or inside sales)	Average order value	Share of conversations where the rep suggests one add-on
Customer service	Customer satisfaction score	Share of tickets answered within the first-response target; callbacks completed on the promised day
Customer service	Repeat contacts within 7 days	Share of tickets closed with a confirmation question (“Did this solve it?”)
Customer success	Customer churn per quarter	Onboarding calls completed in the first 14 days; health checks held with top accounts
Operations	On-time delivery rate	Orders checked against the pick list before dispatch; daily 10-minute planning huddle held
Operations	Defect or rework rate	First-piece inspections completed per shift; machine checks done on schedule
Marketing	Qualified leads per month	Pieces of useful content published per week; webinar invitations sent to the target list
Recruiting and HR	Time to fill a role	Candidates screened within 2 working days; hiring manager feedback returned within 24 hours
Finance	Days sales outstanding	Invoices sent on the day of delivery; overdue accounts called each Friday

Notice the pattern. The lag measures are monthly or quarterly totals. The lead measures are things a named person does, counted weekly. For more role-level ideas, see our list of KPI examples for employees, which groups measures by job and shows how to keep them fair.

What makes a good lead measure?

The most common mistake is choosing a lead measure that is easy to count but does not move the result. “Number of emails sent” is easy. It rarely predicts revenue on its own. Before you commit, run every candidate through this check.

Five tests for a lead measure

• Predictive: if this number goes up, will the lag measure very likely improve?
• Influenceable: can the team move it this week without help from another department?
• Behaviour, not outcome: is it something people do, not something that happens to them?
• Countable without fuss: can someone update it in under five minutes a week?
• Safe from gaming: if people chase the number, does quality stay intact?

There are two broad kinds of lead measure. Some count a leveraged behaviour, such as “two customer visits per rep per week”. Others track a small outcome the team can still control, such as “95% of orders packed by 3 p.m.”. Both work. Behaviour measures give people more direct control. Small-outcome measures give people freedom to choose how to hit them.

Goal research supports the weekly rhythm. In their 2002 review of 35 years of studies, Edwin Locke and Gary Latham reported that goals work best when people get summary feedback on their progress, and that goals plus feedback beat goals alone. A weekly lead measure is that feedback, delivered while there is still time to adjust.

How do you choose lead measures? Five steps

From one result to two weekly behaviours

1. 1Name the lag measureOne result, from a starting number to a target by a date.
2. 2List possible driversBrainstorm 10 behaviours that could move it.
3. 3Test and rankKeep the ones that are predictive and in the team's control.
4. 4Define preciselyWho does what, how often, counted how.
5. 5Track and reviewRun four weeks, then check whether the result moved.

Step 1: Name the lag measure precisely

Write it as “from X to Y by when”. For example: “Raise monthly repeat orders from 120 to 160 by 31 March.” A vague goal like “improve retention” cannot be scored. Pick only one lag measure per team at a time. If everything is a priority, read our guide on how to prioritize when everything is important first, or sort the candidates with these Eisenhower matrix examples.

Step 2: Brainstorm what could drive it

Ask the team, not only managers: “If we could do only two new things every week, what would most likely move this number?” People closest to the work usually know which behaviours matter. Aim for ten ideas before you judge any of them.

Step 3: Test each idea and keep one or two

Use the five tests above. Look for the idea with the most leverage, not the one that feels most comfortable. A useful question is: “Which behaviour, if we did it consistently, would make the result almost inevitable?”

Step 4: Define the measure so nobody argues about it

“Follow up with prospects” is not measurable. “Every proposal gets a follow-up call within three working days, logged in the CRM” is. Agree how it will be counted, who updates it and on which day.

Step 5: Track for four weeks, then review

Run the measure for at least four weeks before judging it. Then ask two questions: did we actually do the behaviour, and did the result move? If the behaviour happened and the result did not, the measure is not predictive. Replace it.

Lead measures in sales: a worked example

Here is a hypothetical example to show how the steps fit together. Imagine a 12-person B2B services company with three salespeople. Revenue from new clients has been flat for two quarters.

1. Lag measure. “New-client revenue from $40,000 to $55,000 per month by the end of the quarter.”
2. Brainstorm. The team lists more cold emails, more LinkedIn posts, faster proposals, better discovery questions, more referrals, a price review and a new website.
3. Test. Looking at the last 20 won deals, they notice most started with a proper discovery meeting and got a proposal within two days. Cold emails rarely led anywhere. The website is not in the sales team’s control.
4. Lead measures chosen. “Each rep holds four discovery meetings per week” and “every proposal is sent within 48 hours of the discovery meeting”.
5. Review. After four weeks they check: did meetings and proposal speed improve, and did the pipeline grow?

The numbers here are invented for illustration. The method is the point: start from evidence in your own deals, choose behaviours the reps control and give them a weekly target. Our guide to the B2B sales process shows where these lead measures fit into each stage of a deal.

A simple 4-week scoreboard layout

A scoreboard only works if the team can glance at it and know in five seconds whether they are winning. Keep it on one page, update it weekly and show the target next to the actual.

Measure	Target	Week 1	Week 2	Week 3	Week 4	Trend
Lag: new-client revenue (month to date)	$55,000 by month end
Lead 1: discovery meetings held (team total)	12 per week
Lead 2: proposals sent within 48 hours	100%
Notes: what helped, what blocked us

How to use it:

• Colour the cells. Green when the week hit target, red when it missed. People react to colour faster than to numbers.
• Update it at the same time every week, ideally just before a short team meeting. FranklinCovey suggests that its weekly accountability session should ideally last no more than 20 minutes, with each person committing to one or two actions that will move the scoreboard.
• Keep the lag measure visible even when it moves slowly. It reminds everyone why the lead measures matter.
• After week 4, decide: keep the lead measures, adjust the targets, or replace a measure that did not predict the result.

Our weekly team meeting agenda shows how to run that short review so it stays on the scoreboard and does not turn into a status update.

How do lead and lag measures fit with OKRs, KPIs and 4DX?

These tools work together, and it helps to know where each one sits.

• KPIs are the ongoing health measures of the business. Most KPIs are lag measures. Our comparison of OKR vs KPI explains when to use each.
• OKRs set an ambitious objective and three to five key results for a quarter. Good key results are often lag measures. Pair each one with a lead measure so the team knows what to do on Monday. See our OKR examples for managers.
• 4DX is the full execution system that introduced lead and lag measures to many managers: focus on one wildly important goal, act on lead measures, keep a compelling scoreboard and hold a weekly cadence of accountability. Our 4 Disciplines of Execution summary covers each discipline.

Lead measures also make accountability fairer. People are judged on what they control, not only on outcomes that depend on the market. That idea runs through our guide to accountability at work, and it gives you specific evidence to use when you write a performance review.

What are the most common mistakes?

The last mistake deserves attention. The economist Charles Goodhart observed in 1975 that a statistic tends to lose its reliability once people are pushed to hit it. If “calls per day” becomes the goal, you will get more calls, not necessarily better ones. Protect against this by pairing a quantity measure with a quality check, and by talking about the result, not only the count.

Clarity is also worth the effort. Gallup reported in 2015 that only about half of employees strongly agree they know what is expected of them at work. A well-chosen lead measure answers that question in one line.

Summary

Lag measures tell you whether you won. Lead measures tell you whether you are doing what wins. Choose one lag measure written as “from X to Y by when”, add one or two lead measures that are predictive and within the team’s control, and track them on a simple weekly scoreboard for four weeks. Then check whether the behaviour moved the result, and adjust.

The quickest way to start is with a ready-made layout.