Advanced Performance Management · Performance improvement models and techniques

Performance Improvement in Different Sectors and Contexts

Updated 11 October 2026 · Fact-checked

Performance improvement in different sectors means choosing and adapting techniques such as benchmarking, lean, process re-engineering and value for money to fit the organisation's context. You identify the sector's features, pick suitable techniques, explain the benefits, then evaluate limits, costs and behavioural risks using scenario facts.

Understand Performance Improvement in Different Sectors and Contexts

A technique does not work the same way everywhere. Lean, benchmarking and business process re-engineering (BPR) came mostly from manufacturing. APM asks you to move them into other settings and judge whether they fit.

Start with what makes the context different. Service organisations have intangible output, output that is used up at the moment it is produced, customers who take part in the process, and high variability. Quality is hard to measure, so measures such as waiting time, complaints and staff competence matter. Public sector and not-for-profit (NFP) organisations have no single profit objective. They have many stakeholders, funding limits, political pressure and outputs that are hard to value. Here, value for money (economy, efficiency, effectiveness) and outcome measures replace profit. Multinationals face different currencies, tax rules, cultures, regulation and transfer prices. Subsidiaries are not always comparable with each other.

Then match the technique to the problem. Benchmarking suits a public body that can compare itself with similar bodies, but only if the units are truly comparable. Lean and process improvement suit repeated, high-volume service processes such as claims handling or hospital admissions. BPR suits a process that is badly broken, but it is risky and disruptive. Balanced scorecards suit NFPs when they are adapted so that the mission or beneficiary perspective sits at the top.

Finally, evaluate. Good answers say what the technique offers, then what could go wrong in this context: measures that are hard to quantify, gaming of targets, staff resistance, loss of quality when cost is cut, and cost of implementation. In an NFP, cutting cost too far may damage the mission. In a multinational, a single global standard may ignore local conditions.

The examiner rewards application. Generic textbook lists score low. Use the numbers, people and constraints in the scenario.

Key rules to remember

Value for money (3Es): Economy = inputs bought at lowest cost for the right quality; Efficiency = outputs ÷ inputs; Effectiveness = outcomes achieved against objectives; Add a fourth E, equity, where fair access to the service matters. Always link each E to a measure from the scenario.
Efficiency measure: Efficiency = output achieved ÷ resources used; Example: cases handled per staff member, or cost per patient. Compare with a target or a peer.
Cost per unit of service: Cost per service unit = total cost of service ÷ number of service units delivered; Define the unit carefully (patient day, case, student). Different case mixes make comparisons unfair.
Suitability check: Context features → technique that fits → benefits → limits and risks → recommendation; This is a method, not a calculation. Use it to structure every evaluation answer.

How to solve Performance Improvement in Different Sectors and Contexts questions

Use this method for any question that asks you to apply or evaluate improvement techniques in a given sector or setting.

1Read the requirement and note the verb: advise, apply, evaluate, or recommend. Note the role you are playing and who the reader is.
2Identify the context features in the scenario: type of output, stakeholders, funding, objectives, geography, and the performance problem.
3Choose two or three techniques that match the problem. Do not list every technique you know.
4Apply each technique using scenario facts: what would be measured, compared or redesigned, and by whom.
5Evaluate each one: benefits, costs, data needs, behavioural risks, and fit with the sector's objectives.
6Compare the options briefly and make a clear recommendation, with any conditions or a phased approach.
7Add professional skills: a sceptical comment on data quality or targets, commercial awareness, and a clear format for the reader.

Quickest way: Context-Technique-Risk in three lines

When to use it: Use it when time is short, for example in a 10-mark part of a case study, or when you are planning an answer.

Write the context in one line: who the stakeholders are, what the objective is, and what is unusual about the output.
For each technique, write one line of application using a scenario fact and one line of limit.
End with a recommendation that states which technique first, and what must be in place, such as agreed measures, staff buy-in or reliable data.

Common mistakes in Performance Improvement in Different Sectors and Contexts

Describing a technique in general terms without applying it to the scenario.
Students memorise definitions and rush to write what they know.
Fix: Use at least one named fact from the scenario in every paragraph, such as a department, a delay or a funding rule.
Using profit-based measures for a public or NFP body.
Profit and ROI are the default way of thinking about performance.
Fix: Use value for money, outcomes, service quality and stakeholder satisfaction. Say why profit does not capture the mission.
Recommending a technique without discussing its limits.
Students treat the question as 'explain the benefits'.
Fix: Always include a counter-point: cost, data availability, gaming, resistance, or poor comparability. Then say how to reduce the risk.
Assuming benchmarking is valid between any two units.
The idea of comparing looks obviously useful.
Fix: Check that the units serve similar users, have similar resources and use the same definitions. Mention case-mix and local conditions.
Ignoring behavioural effects such as target gaming or loss of quality.
Students focus on the mechanics of the technique.
Fix: Ask what staff will do to hit the target. Suggest balanced measures and audit of reported data.
Giving a long list of techniques with no recommendation.
Fear of missing a mark point.
Fix: Pick the best two or three, rank them and conclude. The examiner wants judgement.

Worked examples

Example 1

A public hospital trust has long waiting times in its outpatient clinics and rising costs. The board proposes to benchmark against other trusts and to apply lean thinking to clinic processes. Evaluate the suitability of these two techniques. (10 marks)

Show the solution

Context: public sector, many stakeholders (patients, government funders, clinicians), no profit goal, outputs are outcomes such as health and waiting time. Value for money and equity matter.
Benchmarking, application: compare waiting time, cost per appointment and missed-appointment rate with similar trusts. This shows where the trust is weak and may reveal best practice to copy.
Benchmarking, limits: trusts differ in patient mix, case severity, size and local population, so raw comparisons may be unfair. Data definitions may differ. Comparison tells you the gap but not how to close it.
Lean, application: map the patient journey, find non-value-adding steps such as repeated registration, idle waiting between tests and poor appointment scheduling, and remove them. This directly targets waiting times and cost.
Lean, limits: clinical work is variable and cannot always be standardised. Clinicians may resist if they see it as a cost-cutting tool. Care quality and safety must not be sacrificed, so quality measures must be kept alongside speed.
Compare: benchmarking is a diagnostic and lean is an improvement tool, so they work best in sequence.
Recommend: use benchmarking with adjusted comparators to set targets, then run lean pilots in one clinic, track waiting time and patient outcomes together, and extend if results hold.

Answer: Both techniques suit the trust, but neither is enough alone. Benchmark first with fair, case-mix-adjusted comparators to locate the gaps. Then apply lean to the clinic processes in a pilot with clinician involvement and quality measures. Watch for gaming of waiting-time targets and for harm to care quality.

Example 2

A global charity runs education programmes in 12 countries. Head office wants all country teams judged on one measure, cost per child reached, and wants to link bonuses for country directors to it. Evaluate this proposal and recommend improvements. (10 marks)

Show the solution

Context: NFP, multinational. Mission is learning outcomes for children. Stakeholders are donors, beneficiaries, local governments and staff. Costs and conditions differ by country.
Strength of the proposal: cost per child is simple, easy to compare and speaks to donors who want efficiency. It supports economy and efficiency.
Weakness 1, effectiveness: it counts reach, not outcomes. A country could cut spend per child by reducing teacher quality, so more children are reached but learn less.
Weakness 2, comparability: wage levels, travel distances, rural versus urban delivery and exchange rate movements differ. Countries with harder-to-reach children look worse unfairly.
Weakness 3, behaviour: a bonus tied to this single measure encourages directors to choose easy locations and to ignore quality and equity, and may encourage manipulation of reach figures.
Improvement: use a balanced set of measures covering reach, learning outcomes, cost per child adjusted for local cost levels, beneficiary and donor satisfaction, and staff development. Set local targets as well as global ones.
Add controls: verify reported figures, set bonuses on a mix of measures, and review the results with country directors to make sure they accept the targets.

Answer: A single cost-per-child measure is easy to understand but is likely to harm the mission. It ignores outcomes, is unfair across countries, and invites gaming. Replace it with a balanced scorecard-type set of measures that covers outcomes and quality, adjust costs for local conditions, verify data, and link only part of the bonus to cost.

Exam tips

Spend the first minutes of planning on the context: write down the three or four features of the sector that matter, then choose techniques that answer them.
Use the verb. 'Evaluate' needs benefits, limits and a judgement. 'Advise' needs a recommendation and the conditions for success.
In NFP and public sector questions, use the 3Es and mention equity, outcomes and multiple stakeholders by name.
For multinationals, raise the issues of local conditions, currency, culture and comparability before recommending a global standard.
Earn professional skills marks by questioning data reliability, noting what the board might not have considered, and presenting a clear, ordered recommendation.

Practice questions from Performance improvement models and techniques

Performance Improvement in Different Sectors and Contexts: frequently asked questions

How do I improve performance in a not-for-profit organisation in APM?

Start with the mission and stakeholders, then use measures such as value for money, outcomes and beneficiary satisfaction instead of profit. Techniques like benchmarking, lean and an adapted balanced scorecard can work. Always discuss limits such as hard-to-measure outcomes and funding restrictions.

Which performance improvement techniques suit the public sector?

Benchmarking, lean process improvement, value for money reviews and balanced scorecards are common choices. Pick the one that matches the problem in the scenario. Warn about target gaming, political pressure and unfair comparisons between units.

How do I evaluate a performance improvement technique in APM?

Say what the technique does, apply it to the scenario, then weigh benefits against cost, data needs, behavioural effects and fit with the organisation's objectives. End with a clear recommendation. A balanced view with scenario facts scores best.

Can I use manufacturing techniques like lean in service organisations?

Yes, where processes are repeated and have visible waste, such as waiting and rework. But service output varies and the customer takes part in the process, so standardising too much can harm quality. Pilot first and track quality measures.