An IVF laboratory can look busy and organised and still be underperforming. Key performance indicators (KPIs) turn daily laboratory work into measurable data, so problems are spotted early and improvements can be proven rather than assumed.

Why KPIs matter

Clinical pregnancy and live birth rates depend on many factors outside the laboratory, such as patient age and stimulation protocol. KPIs focus on the steps the laboratory controls, so that a change in culture media, equipment, staff or technique can be evaluated on its own merits.

The Vienna consensus framework

In 2017, ESHRE’s Special Interest Group of Embryology and Alpha Scientists in Reproductive Medicine published the Vienna consensus on laboratory performance indicators. It groups indicators into reference indicators, key performance indicators and outcome indicators, and suggests a competency value (the minimum expected) and a benchmark value (best practice) for each. Laboratories are encouraged to use these values as a starting point and to set their own targets based on their patient population.

Commonly tracked indicators

• Proportion of mature (MII) oocytes at ICSI – reflects stimulation and trigger as well as laboratory handling.
• ICSI damage rate – the proportion of injected oocytes that degenerate; a direct measure of technique.
• Normal fertilisation rate for IVF and ICSI – two-pronuclear zygotes as a proportion of inseminated or injected oocytes.
• Failed fertilisation rate – cycles with no fertilised oocytes.
• Cleavage and blastocyst development rates – the proportion of embryos reaching each stage on schedule.
• Embryo survival after warming – an indicator of cryopreservation and warming technique.
• Implantation rate – an outcome indicator influenced by both laboratory and clinical factors.

Turning numbers into improvement

1. Define each indicator precisely, including what is counted in the numerator and denominator.
2. Collect data routinely, ideally captured during normal work rather than reconstructed later.
3. Review monthly, by embryologist and by procedure where numbers allow, using control charts to separate real change from random variation.
4. Investigate drops with a structured root-cause review: culture conditions, consumables, equipment, staffing and patient mix.
5. Record actions and re-measure, so the effect of each change is visible.

Common pitfalls

Small numbers make monthly percentages swing widely, so look at rolling averages before drawing conclusions. Indicators should never be used to blame individuals; they work best in an open culture where embryologists review results together and share techniques.

Key takeaways

• KPIs measure what the laboratory controls, separately from patient factors.
• The Vienna consensus provides definitions plus competency and benchmark values as a starting point.
• Clear definitions, routine data capture and monthly review make KPIs useful.
• Use KPIs for learning and improvement, not for blame.

Educational content only. This article does not replace institutional protocols, manufacturer instructions, clinical judgement or local regulatory requirements.

References and further reading

• ESHRE Special Interest Group of Embryology and Alpha Scientists in Reproductive Medicine. The Vienna consensus: report of an expert meeting on the development of ART laboratory performance indicators. Reproductive BioMedicine Online. 2017;35(5):494–510; Human Reproduction Open. 2017.
• ESHRE Guideline Group on Good Practice in IVF Labs. Revised guidelines for good practice in IVF laboratories (2015). Human Reproduction. 2016;31(4):685–686.