Research and data interpretation

A repeated Paper 1 fault is writing a point the brief already gave. If the brief says the product must hold three coins, writing "it must hold coins" again scores zero. A spec point must be additional and specific. Turn a finding into something measurable — from "most users are children" write "no sharp edges, light enough for a child to lift".

A bigger pile of research does not score higher. Pages of generic material with little to do with the actual problem earn little. Examiners reward research relevant to the brief: gather user data (interviews, surveys) plus ergonomic and environmental detail, order and assess it, and end with a written specification. Judge research by relevance, not page count.

Presenting data with the wrong tool loses all the marks. Asked for a pie chart, many drew a bar chart and scored nothing. Keep them apart: a pie chart shows proportions of a whole (each sector = its fraction times 360 degrees); a bar chart compares separate categories. If 15 of 60 chose an option, that sector is 15/60 x 360 = 90 degrees, and sectors sum to 360.

Primary research is not searching the internet or reading books — that is secondary research, information someone else already published. Primary research is data you collect first-hand: surveying users, measuring people or spaces, testing products. The test: did YOU collect it for this project (primary), or find it already published (secondary)?

Quantitative vs qualitative data are easily muddled. Quantitative data is numbers — how many, how big — and charts easily. Qualitative data is opinions — what users like or dislike and why. Charting data needs quantitative; explaining why users prefer something needs qualitative. Collecting the wrong type loses marks.

Drawing the chart is only half the task. Interpreting data means stating what it tells you — the most common answer, a trend, or a test result compared with the specification for pass/fail. A chart with no conclusion scores little because it does not inform the design. Finish with the conclusion, plus the improvement if a test failed.

Words that fit almost any product gain no marks. "Nice", "cheap" or "easy to use" are not testable — they could describe a chair, a phone or a bird feeder alike — so examiners credit none. Make each point measurable instead: for "easy to use" write "operated with one hand"; for "cheap" write "materials under 5 dollars". Make it specific enough to test.