Definition

In an APC context, preparing reports and recommendations to optimise resources means gathering and analysing data on how a practice’s human, financial, physical and information resources are currently being used, identifying inefficiencies or opportunities, and presenting findings and actionable recommendations to decision-makers in a structured format. The process draws on management accounting principles, operational performance analysis and professional communication skills.

Why this matters for Business Planning

  • Level 1 knowledge: you must describe what an effective resource optimisation report contains and explain how recommendations should be structured and justified.
  • A report that describes current resource use without analysis or recommendation has no management value; the skill is in moving from data to actionable insight.
  • Senior leaders make resource allocation decisions based on internal reports; the quality of those reports directly affects the quality of those decisions.
  • At APC, candidates who describe a report they prepared or contributed to, and explain its recommendation and outcome, demonstrate applied competence rather than theoretical knowledge.

Key principles

Gathering the right data

Effective resource reports are grounded in reliable data. For human resources, this typically means timesheet records, utilisation rates and absence data. For financial resources, it means budget versus actual expenditure and fee income by service line. For physical resources, it means asset utilisation and procurement costs. Best practice is to select only data directly relevant to the question being analysed.

Structuring the report

A well-structured management report follows a clear sequence: executive summary stating key findings and recommendations; scope and methodology; analysis of current resource use; identification of inefficiencies; and specific, prioritised recommendations with an expected benefit. Appendices carry detailed data tables.

Formulating and communicating recommendations

Recommendations must be specific, feasible and costed where possible. A well-formed recommendation states what should be done, who should do it, by when, and what outcome is expected. A professional report also acknowledges the limitations of the analysis: if data coverage is incomplete or assumptions have been made, these should be stated explicitly. Noting sensitivity, for example “this recommendation assumes fee income growth of 10%; if growth is lower, the saving is proportionately reduced”, is a mark of professional rigour.

Relevant RICS guidance and legislation

  • RICS Rules of Conduct (effective 2 February 2022) — Rule 2 (competent service) requires members to provide well-founded advice; resource reports are a form of professional advice to internal decision-makers.
  • Data Protection Act 2018 / UK GDPR — reports that include personal data (such as individual staff performance) must be handled in accordance with data protection law.
  • Companies Act 2006 — directors have statutory duties to promote the success of the company; sound management reporting underpins their ability to fulfil those duties.

Ethics and Rules of Conduct angle

Rule 1 of the RICS Rules of Conduct requires members to act with honesty and integrity. A resource report that selectively presents data to support a predetermined conclusion, overstates the expected benefit of a recommendation, or conceals adverse findings fails this standard. Reports for internal or external audiences must be accurate, balanced and clearly distinguishable from advocacy. Rule 2 (competence) also applies: preparing a management report requires analytical skill and judgement, and a member who lacks those skills should seek guidance rather than produce a report that misleads decision-makers.

APC-style Q&As

Q (Level 1)What should an effective resource optimisation report contain?

An effective report should contain an executive summary stating the key findings and recommendations, an analysis of current resource use supported by relevant data, identification of inefficiencies or underutilisation, specific and prioritised recommendations with an expected outcome for each, and an honest acknowledgement of any data limitations or implementation risks.

Q (Level 1)What data would you use to analyse whether a surveying team is appropriately resourced?

Timesheet records should be used to compare hours charged against project budgets, alongside utilisation rates to assess what proportion of available time is billable, fee income by team member relative to salary cost, and project delivery data to check whether deadlines are being met. Together these data points give a picture of whether the team is over-stretched, under-utilised or appropriately resourced for its current workload.

Q (Level 2)How would you ensure your resource recommendations are taken seriously by senior management?

Each recommendation should be grounded in specific data rather than opinion, with expected benefits quantified wherever possible and recommendations presented in priority order. Any risks or limitations in the analysis should be acknowledged rather than presenting findings as definitive, and the candidate should offer to walk decision-makers through the data at a management meeting. Recommendations that are clearly explained, evidence-based and realistic are far more likely to be acted upon than those presented as assertions.

Q (Level 2)What ethical obligations arise when preparing a resource report?

Under Rule 1 of the RICS Rules of Conduct, the report must be accurate and honest: data must be presented objectively, not selected to support a particular conclusion. Assumptions and limitations must be transparent, and findings must be clearly distinguished from recommendations. Where personal data is included, Data Protection Act 2018 and UK GDPR obligations must also be met.

Q (Level 3)You are asked to prepare a report recommending how a 12-person surveying team can achieve a 15% cost reduction without reducing service quality. How do you approach it?

(example) I would begin by mapping all current costs by category: staff salaries, agency and freelance spend, technology subscriptions, office overheads and travel. I would then analyse utilisation data to identify whether any capacity is consistently underused, and whether process inefficiencies inflate time-per-task. My recommendations would prioritise changes that reduce cost without affecting client-facing capacity, such as renegotiating software contracts or reducing agency reliance through better advance planning. I would model the expected saving for each recommendation, note implementation risks, and present a phased plan so that senior management can assess feasibility. Where further data would be needed before a recommendation could be finalised, I would say so explicitly rather than making assumptions I cannot support.