8605-414 Assignment Example

Information-based decision making is about replacing gut instinct with evidence — collecting relevant data, analysing it using appropriate tools, and making management decisions that can be justified to stakeholders because they are grounded in facts rather than assumptions. Unit 8605-414 asks you to demonstrate this process with a real workplace decision, showing how information improved the quality of the outcome.

This assignment example follows a facilities manager in a 500-person office complex deciding whether to switch the cleaning contract from the current supplier to a competing provider — a £180,000 annual decision with service quality, staff satisfaction, and contractual implications.

Learning Outcome 1 — Be Able to Identify and Collect Data to Inform Decision Making

AC 1.1 — Identify the Data Needed to Inform a Specific Management Decision

The decision: should the organisation renew the cleaning contract with the current supplier (Company A, £180,000/year) or switch to the lowest-cost competitor (Company B, £152,000/year — a 16% saving)? On the surface, the financial case for switching appears obvious. However, an information-based approach requires data beyond price. Data collected included: Company A’s performance data over three years (cleaning audit scores, complaint logs, response times for ad hoc requests), Company B’s references from three comparable clients, staff satisfaction data on office environment quality (extracted from the annual workplace survey), the contractual terms of both proposals (including service-level agreements, penalty clauses, and exit provisions), and the hidden costs of switching (mobilisation period, staff disruption during transition, risk of service quality dip during the first three months).

AC 1.2 — Explain How to Assess the Validity and Reliability of Data

Not all data is equally trustworthy. Company A’s performance data is reliable because it comes from the organisation’s own audit system — consistent methodology, monthly frequency, three-year history. Company B’s references are less reliable — they were selected by Company B (who would not provide references from dissatisfied clients) and could not be independently verified. Staff survey data is valid for measuring perception but may not reflect objective cleanliness standards — staff complaints about cleaning increased 12% in the past year, but cleaning audit scores remained stable at 88%, suggesting a perception gap rather than a quality decline. Assessing validity means asking: does this data actually measure what I need to know? Assessing reliability means asking: would I get the same result if I collected this data again? Both questions must be applied before data influences a decision.