Quick Answer
A strong IB Design Technology IA is built around a genuine design problem for a real client, with clear requirements, justified decisions, and testing that shows how well the final product performs. The best projects show iterative thinking, not just a polished final outcome.
What You'll Learn
- Client needs and design requirements must be clear from the start
- Good design process evidence is just as important as the final product
- Testing should show how well the prototype meets real requirements
- Evaluation should judge the design against criteria rather than just praising it
What Makes a Strong Design Technology IA?
IB Design Technology IAs are strongest when they show a clear design process from identifying a problem to testing a final solution. Examiners want to see evidence of client-centred thinking, iterative development, and evaluation grounded in actual performance rather than vague claims.
Pro Tip
A strong DT IA shows how and why your design changed over time, not just what the final idea looks like.
Start With a Real Client and Real Design Requirements
Your design problem should come from a real user or stakeholder. A convincing IA explains the problem clearly, identifies relevant constraints, and turns client needs into requirements that can later be tested.
- Clarify who the client is and what problem needs solving
- Translate the need into specific design requirements
- Consider materials, ergonomics, sustainability, cost, and manufacturing constraints where relevant
- Keep the design problem narrow enough to solve effectively
Justify Design Decisions Throughout the Process
Weaker DT IAs often show design ideas but do not explain why one choice is better than another. Stronger projects compare options, justify materials and construction choices, and explain how the design evolved in response to testing, client needs, or practical constraints.
- 1Generate ideas with clear comparison between options
- 2Explain why your final concept was selected
- 3Justify material and manufacturing choices
- 4Show evidence of iteration based on feedback or testing
- 5Keep linking design decisions back to the original requirements
Testing and Evaluation Need Real Evidence
The best Design Technology IAs do not wait until the end to think about testing. Testing should be planned from the moment you define success criteria, and the evaluation should judge the final product honestly against those criteria.
- Test function, usability, durability, and user suitability where relevant
- Use real client or user feedback if possible
- Explain what the tests show, not just that they happened
- Evaluate strengths, weaknesses, and realistic improvements
Watch Out
A weak evaluation says the product was successful without evidence. A strong one explains exactly where it met or failed to meet the criteria.
Common Design Technology IA Mistakes
These problems regularly limit scores in DT projects.
- A vague or weakly defined client problem
- Little justification for design choices
- Minimal iteration or evidence of development
- Testing that is superficial or disconnected from the criteria
- An evaluation that describes the product but does not judge it critically