6 Metrics to Review in Your Quarterly Business Review (QBR)
By Pete Furseth
The end of the quarter is approaching, so it is time to prepare for your quarterly business review. Expectations and reality do not always align, and it is impossible to meet 100% of quotas 100% of the time. Understanding six key metrics will help you and your team identify strengths, address weaknesses, and optimize sales strategies for the future.
The goal of a QBR is not to assign blame. It is to understand what happened, why it happened, and what to change. These six metrics give you the data to do that.
1. Employee Efficiency
To determine employee efficiency, track each salesperson's actual orders and compare them to two benchmarks:
- Personal expectation based on tenure and quota - Official quota adjusted for seasonality
In technology sales, new hires typically achieve 10% to 20% of their quotas in the first few months. On average, it takes 15 to 18 months for a new rep to reach 95% efficiency. Ramp rates vary by position and company, so calibrate these percentages to your business.
The key insight from this metric is the gap between actual performance and expected performance based on ramp. A new hire who exceeds ramp expectations is a strong signal. A veteran who falls below established expectations is a concern worth investigating.
Compare individual efficiency against the position average to see how each rep stacks up against peers. This removes the unfairness of comparing new hires to veterans and gives you a tenure-adjusted view of performance.
For more on how ramp rates affect planning and budgets, see our post on what annual planning costs your business.
2. Win Rate
It may seem obvious, but win rates are a critical indicator of sales performance, and most organizations do not measure them correctly.
The key is to evaluate win rates in two dimensions:
- By count: What percentage of deals convert from open to closed-won? - By dollar value: What percentage of pipeline value converts?
These two numbers often tell very different stories. A rep who wins many small deals but consistently loses large opportunities is not creating the best results for the company. You need both dimensions to get the full picture.
Measure win rates over time, not just for the current quarter. Quarterly comparisons reveal seasonal patterns and long-term trends. If win rates are declining quarter over quarter, that is a systemic issue that demands attention, not a one-time blip.
Analyze win rate changes to understand why fluctuation occurs and how your team can adjust strategies for specific periods.
3. Sales Cycle Length
Every opportunity in your pipeline is on a clock. The number of days from creation to won or lost indicates how deals move through your pipeline.
Two metrics matter here:
- Average days to won: How long does it take to close deals? - Average days to lost: How long does it take to mark deals as lost?
If average days to won is increasing, opportunities are moving more slowly through the pipeline. This could signal competitive pressure, deal complexity changes, or process friction that needs to be addressed.
Watch for drastic decreases in cycle length too. A rep who drops from 60 days to 5 days in a single month might be delivering genuine improvement, but sometimes extreme changes indicate data manipulation, such as deals being logged retroactively or stage dates being edited after the fact.
Track sales cycle length by rep, by segment, and by deal size to get a nuanced view.
4. Order Amount
Compare each rep's average deal amount to the average for their position. This reveals whether individual reps are consistently closing above or below the team norm.
A rep who closes many deals but at significantly lower amounts may need coaching on deal sizing, pricing strategy, or customer selection. A rep who closes fewer deals but at higher amounts may be better suited for enterprise rather than mid-market.
This metric also surfaces pricing discipline issues. If average order amounts are declining across the team, it could indicate market-wide price pressure or a pattern of excessive discounting.
5. Opportunity Count
Complementary to order amount, track the number of opportunities each rep wins compared to the position average.
A rep with high opportunity count but low order amount is producing volume. A rep with low count but high amount is producing value. Neither is inherently better. The right balance depends on your business model and market.
Comparing both metrics together, count and amount, gives you a complete picture of how each rep contributes to revenue. Some reps are hunters who close many smaller deals. Others are farmers who grow fewer, larger accounts. Your QBR should recognize and optimize for both.
6. Track Everything Through Time
All five metrics above are useless if you measure them only once per quarter. To see trends, you need historical comparison.
One-time inputs do not produce valid predictions. You need at least four quarters of data to establish reliable baselines and identify meaningful trends. Without trends, every QBR starts from zero and you cannot tell whether performance is improving, stalling, or declining.
Build a tracking system that records all five metrics weekly (or at minimum monthly) and makes historical comparisons easy. When you sit down for the QBR, the data should already be there, visualized and ready for discussion.
Bonus: Looking Ahead
The QBR should not only look backward. Use the metrics above to project forward:
- Employee efficiency trends tell you which reps are on track and which need intervention - Win rate trends tell you whether your pipeline will convert at the rate your forecast assumes - Cycle length trends tell you whether deals expected to close this quarter will actually land
Reflecting on past results gives you the opportunity to identify symptoms in your pipeline and sales team that can be improved before they become next quarter's problems.
For a comprehensive list of metrics across all dimensions of the sales operation, see our guide to 22 sales operations metrics. For a deeper look at how these metrics connect to your sales pipeline health, see our pipeline health check.
Use your QBR to pinpoint specific, measurable issues. Poking around in the dark is not a strategy. Data-driven performance review is.
Frequently Asked Questions
What metrics should you review in a sales QBR?
Six key metrics: employee efficiency (actual vs. expected output by tenure), win rate (by count and dollar value), sales cycle length (days to won and lost), order amount, opportunity count, and all of the above tracked through time.
How do you measure employee efficiency in a sales QBR?
Compare each rep's actual orders to their expected output based on tenure, position, and quota adjusted for seasonality. Expected output accounts for ramp rates, so a new hire is measured against a lower bar than a veteran.
Why should you track win rates by both count and dollar value?
A rep might win 40% of deals by count but only 25% by value if they consistently lose large opportunities. Evaluating both gives you the full picture of conversion performance.
How do you spot data manipulation in sales cycle metrics?
Watch for drastic drops in days-to-won, like going from 60 days to 5 days in one month. While improvement is good, extreme changes may indicate deals being logged retroactively or stage dates being edited.
Why is tracking through time the most important QBR practice?
One-time inputs do not produce valid predictions. You need a baseline of historical data to identify trends, measure improvement, and set realistic expectations. Without trends, every QBR starts from zero.
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