Your win rate does not tell the whole story
Suppose your company won six out of twenty tenders last year.
Your win rate was 30%.
Is that good?
It depends.
What if you bid for ten opportunities you never should have pursued?
What if six of the fourteen genuinely competitive bids were won?
What if your average quality score was rising even though the overall win rate was flat?
Win rate is useful.
It is not enough.
Start with qualification rate
The first metric to track is:
How many opportunities do we actually choose to bid?
If you receive 100 opportunities and bid on 80, your team may have a qualification problem.
A disciplined bid/no-bid process should eliminate opportunities where you lack eligibility, competitiveness, capacity or strategic fit. BidReview's bid/no-bid framework provides a structured approach to making that decision.
A lower bid volume can therefore be a sign of improvement.
Track average quality score
For each bid, record the quality score you achieved.
Then track the average over time.
This helps distinguish two different problems.
If quality scores are consistently low, the problem is probably your bid content.
If quality scores are strong but you still lose, price, commercial positioning or competitor strength may be more important.
Without the quality data, those two situations look identical.
Track marks lost by criterion
This is one of the most useful measures.
For each bid, record:
- criterion
- weighting
- expected score
- actual score
- marks lost
- reason
Over time, patterns emerge.
Perhaps your company consistently performs well on methodology but poorly on social value.
Perhaps your technical answers are strong but your case studies are weak.
Perhaps risk management repeatedly scores below the top band.
Those patterns tell you where to invest.
Measure pre-submission score against actual score
This is where scoring becomes particularly valuable.
Before submitting, predict your score.
After evaluation, compare your prediction with the buyer's score.
You now have a calibration measure.
If you consistently predict 85% and buyers award 68%, your internal scoring is too optimistic.
If your prediction is consistently close to the buyer's score, your review process is becoming useful.
Over time, this creates a feedback loop.
Predict → Submit → Receive score → Compare → Improve
Track evidence gaps
You can also measure something more granular.
Count the number of significant unsupported claims identified during review.
For example:
Bid 1: 37 evidence gaps
Bid 2: 29
Bid 3: 21
Bid 4: 14
That tells you whether your bid-writing process is becoming more evidence-led.
BidReview's evidence-gap analysis is based on exactly this principle: identify claims that are not sufficiently supported and prioritise them according to the criterion's importance.
Measure the cost of bidding
Do not ignore resources.
Track:
- hours spent
- external costs
- opportunity cost
- number of contributors
- bid value
- expected margin
A bid that wins but consumes disproportionate resources may not be a good bid.
The goal is not simply more wins.
It is more valuable wins at an acceptable cost of acquisition.
The dashboard that matters
A useful bid-performance dashboard might include:
| Metric | What it tells you |
|---|---|
| Qualification rate | How selective you are |
| Bid-to-win rate | Overall performance |
| Average quality score | Content competitiveness |
| Average marks lost | Distance from maximum |
| Evidence gaps | Quality of proof |
| Pre-submission predicted score | Internal confidence |
| Prediction accuracy | Review calibration |
| Bid cost | Efficiency |
| Win value | Commercial return |
The important thing is consistency.
Track the same metrics for every meaningful bid.
Improve the process, not just the result
A lost bid gives you information.
But waiting for the buyer's feedback before improving your process is slow.
A pre-submission score gives you an earlier signal.
You can identify weak answers while there is still time to change them.
That is the real value of measurement.
You stop asking only:
"Did we win?"
And start asking:
"What caused the result — and what can we change before the next tender?"
