PURSUIT Score Calculator
The formula
What the pursuit score tells you
Attainment of pursuit score against a target, with the absolute gap and the weighted contribution for scorecard roll-ups.
Calculation: attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Enter your inputs and every substitution is shown below the result.
Reading the result
Green scores with soft targets flatter; audit the target, not just the result.
Limitations and best practice
One weighted line hides in a dashboard — a 90 % composite can be a 120 % and a 40 % wearing makeup.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Is 100 % always good?
How do I weight lines?
Source & methodology
Balanced-scorecard attainment arithmetic.
How PURSUIT Score works — and what your result really means
You want to know what the number requires, not just what it is; this page shows both. There are plenty of pages about PURSUIT Score; almost none of them show the working. This one does: the formula, every input, a fully computed example, and a sensitivity analysis calculated live from this engine’s own defaults.
In Health & Medical the same quantity is often quoted under two or three different conventions. The formula printed above fixes one convention and applies it consistently, which is what makes results from this page comparable with each other.
Most confusion about PURSUIT Score comes from mixing up the input you control with the input you merely observe. The formula treats them identically, but your decisions should not: one deserves measurement, the other deserves a defensible estimate.
Nothing below is stock text pasted around a number: the worked example computes attainment score = 86.6% from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Target / benchmark first, at ≈11.1 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
Inside the PURSUIT Score calculation: formula and every input
Here is the complete model this tool runs — attainment = actual ÷ target × 100; weighted contribution = attainment × weight — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Actual / achieved (example value 84) is a measured number in the unit named by the label; the formula does not convert for you. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.
Target / benchmark (example value 97) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Weight of this line in the whole (example value 1) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Weigh rather than estimate where you can — this field usually enters the formula multiplicatively.
The default PURSUIT Score calculation, written out in full
The tool prints its own working; this is the same arithmetic on the example values, reproduced so you can follow it by hand. Starting figures: Actual / achieved, Target / benchmark, Weight of this line in the whole. The endpoint of that chain is 86.6% of attainment score, sitting in the “Behind but recoverable; diagnose the gap driver” band.
- Attainment = 84.0 ÷ 97.0 = 86.6 %
- Gap = 13.0 units
Gap to target — 13.0. Read next to the headline, this is the figure that shows the shape of the trade-off.
Gap as % — 13.4%. Compare it against the main result of 86.6% before drawing conclusions.
Weighted contribution — 86.6. Read next to the headline, this is the figure that shows the shape of the trade-off.
Re-running with your own figures is instant; re-running by hand once is the best way to know the tool is telling you the truth.
The PURSUIT Score corridor: your result across a realistic band
Single-point answers invite false confidence, so the same engine was run across a band around the input that matters most here. Each row is a full recalculation of PURSUIT Score, not an interpolation.
| Target / benchmark setting | Attainment score |
|---|---|
| 80 % of the example value | 108.2% |
| 90 % of the example value | 96.2% |
| example inputs | 86.6% |
| 110 % of the example value | 78.7% |
| 120 % of the example value | 72.2% |
That spread — 72.2% at the low end, 108.2% at the high — is what a careful read of PURSUIT Score looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing Target / benchmark alone; the substitution steps will follow your figures exactly.
Where PURSUIT Score is fragile — and where it is not
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the attainment score was recalculated from scratch. For PURSUIT Score the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Nudge Target / benchmark by ±10 % and PURSUIT Score lands between 78.7% and 96.2% (sensitivity ≈11.1 %)
- Actual / achieved +10 % → PURSUIT Score = 95.3% · −10 % → 77.9% (the attainment score shifts ≈10.0 %)
Target / benchmark is the dominant lever here: ten percent either way moves the result by about 11.1 %, from 78.7% to 96.2%. That is where a careless figure does the most damage, so check it against a source, and treat Actual / achieved as the second priority (≈10.0 % per ten percent). The rest of the inputs earn only a rounding-error of attention, and that asymmetry is the practical payoff of measuring rather than asserting.
Reading the result: bands, zones and thresholds
Nobody acts on a bare figure — they act on a figure with a comparison attached. The verdict attached to the default calculation — “Behind but recoverable; diagnose the gap driver” — is one band on a ladder your own figure may sit somewhere else on. Before treating the band as fact, note its width: ten percent either way on Target / benchmark already spans 78.7% to 96.2%. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
Related measures answer related questions, and the distinctions matter: PURSUIT Score is the quantity, Attainment score is this tool’s reading of it, and the decision that follows belongs to neither of them separately.
The errors that quietly break a PURSUIT Score figure
One weighted line hides in a dashboard — a 90 % composite can be a 120 % and a 40 % wearing makeup. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Using stale inputs. PURSUIT Score is only as current as the numbers behind it — an estimate carried over from a previous season, rate table or report quietly biases every output. Re-measure the inputs first; that single habit fixes more bad PURSUIT Score figures than any formula change.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Target / benchmark first, everything else second.
Another is comparing across contexts: a PURSUIT Score computed with one set of conventions should never be lined up against a figure computed with another. Check the inputs behind both before ranking them.
Before you trust your PURSUIT Score: a short checklist
- Re-run the calculation with a ±10 % stress on the two most sensitive inputs.
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Re-verify Target / benchmark against a source document — ten percent of error there moves the headline by ≈11.1 %.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
Five steps from raw inputs to a figure you can defend
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for PURSUIT Score takes a minute to learn and applies to every input above.
Step 1 — gather before you type. PURSUIT Score depends on actual / achieved, target / benchmark, weight of this line in the whole. Collect them from a source document — a statement, a report, an invoice, a log — rather than from memory, because recalled inputs are the single largest cause of wrong results. Repeating a calculation with the same numbers proves only that the arithmetic is reliable — which is worth knowing.
Step 2 — enter the conservative case first. Resist the flattering scenario. Type the inputs you would defend in front of a sceptical reader, read the Attainment score (86.6% for the example values), and note the verdict band. The input you reach for first is usually the one you measured longest ago.
Step 3 — measure what deserves measuring. The ranked levers above tell you where a careful figure pays off. Everything else can stay approximate, which is a licence to stop hunting for data you do not need. A figure nobody can reproduce is a figure nobody will act on twice.
Step 4 — compute a corridor, not a point. Three runs — worst, likely, best — turn PURSUIT Score from a snapshot into a range. Plan against the pessimistic end and treat the optimistic end as the upside story. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Step 5 — schedule the next run. In Health & Medical the inputs drift quietly. Put a reminder a quarter out, re-enter the same fields, and read the change rather than the level. Precision is a promise you make about your data; make sure your inputs can keep it.
The real-world conversations PURSUIT Score settles
Health & Medical arguments end at arithmetic or they do not end. PURSUIT Score is the arithmetic: 86.6% on the example inputs, reproducible by anyone who types the same numbers. One decimal place more than your data supports is one decimal place of fiction.
The companion outputs — Gap to target and Gap as % — exist for the second stage of that screen: the headline sizes the prize, while the companions describe the trade-off you are accepting to get it. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Re-running this page costs nothing and catches the slow drifts that never announce themselves. In Health & Medical the expensive mistakes are rarely sudden; they are small changes in Actual / achieved that nobody recalculated for a year. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.
Quick answers: what searchers ask about PURSUIT Score
What affects PURSUIT Score the most?
Measured on this engine, Target / benchmark is the dominant lever: moving it ±10 % shifts the attainment score across 78.7% to 96.2% — about 11.1 % of the headline, with Actual / achieved next at ≈10.0 %. The ranked list in the sensitivity section is computed live, not asserted from a template.
Which matters more: actual / achieved or target / benchmark?
For PURSUIT Score, Target / benchmark wins the head-to-head (≈11.1 % against ≈10.0 % per ten-percent change). Knowing which input dominates is the difference between careful work and merely slow work.
What is a typical PURSUIT Score?
There is no honest universal average for PURSUIT Score, but there is a reference point: the defaults on this page produce 86.6% (Behind but recoverable; diagnose the gap driver). Replace the inputs with your own and compare — that comparison is the useful meaning of “typical”.
How do I calculate PURSUIT Score by hand?
Use the stated model — attainment = actual ÷ target × 100; weighted contribution = attainment × weight — and substitute in the order the tool prints (it starts from Attainment = 84.0 ÷ 97.0 = 86.6 %). On the example inputs the hand route lands on 86.6%, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.
What happens to PURSUIT Score if target / benchmark changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is 78.7% to 96.2% across the ten-percent probe, i.e. ≈11.1 % sensitivity on the attainment score.
Is the PURSUIT Score result of 86.6% good or bad?
Good and bad are comparisons, so the honest test is three questions: where does your own PURSUIT Score sit against the 86.6% reference above, how far would a plausible input error move it (≈11.1 % per ten percent on Target / benchmark), and what does the alternative option compute to?
When should I take PURSUIT Score to a professional?
Whenever the verdict band is far from your everyday range, or the inputs include medication-influenced values. PURSUIT Score is a screening lens — a clinician holds the diagnostic instruments.
How often should I check PURSUIT Score?
Whenever an input changes by more than a few percent, and otherwise on the rhythm of your decisions — before a purchase, a review, a renewal. PURSUIT Score is a snapshot, not a subscription; stale snapshots are the most common silent error in Health & Medical planning.
Is 100 % always good?
Only if the target was set honestly; consistently hitting exactly 100 % suggests sandbagged targets.
How do I weight lines?
By consequence — revenue and safety earn higher weights than administrative metrics.
Does this PURSUIT Score tool store my numbers?
No. The entire calculation runs in your browser session; nothing entered above is transmitted or saved, which is the correct behaviour for sensitive Health & Medical figures and the reason you can re-run this page as often as you like.
Key terms on this page
- Gap to target
- 13.0 on the example inputs — a companion figure printed beside the headline of PURSUIT Score so that no result is read in isolation.
- Gap as %
- 13.4% on the example inputs — a companion figure printed beside the headline of PURSUIT Score so that no result is read in isolation.
- Weighted contribution
- 86.6 for the PURSUIT Score worked case; it sits next to the main result because it carries context the headline leaves out.
- Attainment score
- The primary output of this tool: 86.6% for the default inputs, computed exactly from attainment = actual ÷ target × 100; weighted contribution = attainment × weight.
- Worked example
- The calculation written out in full so that nothing on this page has to be taken on trust.
- Verdict band
- The interpretation attached to a result (“Behind but recoverable; diagnose the gap driver” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the PURSUIT Score moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Methodology, sources and limits
The model is published arithmetic implemented exactly as written: attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Source of record: Balanced-scorecard attainment arithmetic. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. The promise to the reader is narrow and testable: same inputs, same output, no silent rounding, and no figure presented without the formula that produced it.
Turning this PURSUIT Score into a decision
Refresh the calculation every term or test cycle — weightings and raw scores both move.
Whoever you are (students and candidates planning toward a target score), the next step is the same: replace the example inputs with your own, note the date, and re-run whenever a figure moves. In Health & Medical, a dated figure is a trend, and an undated one is a rumour.