This is a sample report
Illustrative feedback on a made-up Chemistry investigation — this is what Wenzify gives you for your own IA.
The effect of temperature on the rate of reaction between sodium thiosulfate and hydrochloric acid
A clearly structured investigation with a sound method and a reasonable conclusion. What holds the marks back is the treatment of uncertainties — they're barely carried through the processing — and a conclusion that isn't yet compared quantitatively with a literature value. (Science estimates are the least reliable, so treat this as a wide guide, not a mark.)
~2850 words · Up to 3,000 words. Charts, tables, equations, citations and the bibliography don't count.Estimated
11–15
out of 24
DecentDraft history
How this commentary developed, draft by draft — a record you can show your teacher.
Focus on these first
The highest-impact changes, in order.
Carry uncertainties through to the rate
State the uncertainty on each measurement and propagate it into the calculated rate, then show it as error bars and a max/min gradient. This is what caps Data analysis.
Data analysis (Criterion B)
Compare your conclusion with a literature value
A quantitative comparison with an accepted value — and a statement of what your uncertainties allow — moves the conclusion up a band.
Conclusion (Criterion C)
Rank your sources of error by impact
Explain how much each weakness affects the gradient, strongest first, and match each improvement to the error it fixes.
Evaluation (Criterion D)
Comments on your text
Click a highlighted passage to see its comment.
Criterion breakdown
Criterion A
Research design
4 / 6
How to improve
- Justify why the 20–60 °C range was chosen and link it to your hypothesis
- Say how the temperature was kept constant during the reaction, not just set at the start
To reach 5/6
Explain why the 20–60 °C range was chosen and how the temperature was controlled during each run, not just set at the start.
Criterion B
Data analysis
3 / 6
How to improve
- State the uncertainty on each measured quantity and carry it into the rate
- Add error bars and a maximum/minimum line of best fit, and quote the gradient's uncertainty
To reach 4/6
Give the uncertainty on each measured quantity, propagate it into the rate, and show it as error bars with a max/min line of best fit.
Tables, graphs and figures
Image 1 · Scatter graph with a line of best fit
Figure 1 — Rate (1/time) against temperature
Processed data section
- Add vertical error bars from the spread of your three repeats
- Draw maximum and minimum gradient lines and quote the gradient's uncertainty
- Link the shape of the curve to collision theory in the surrounding paragraph
Criterion C
Conclusion
3 / 6
How to improve
- Compare your result quantitatively with a literature or accepted value
- State what your uncertainties allow you to claim
To reach 4/6
Justify the conclusion by comparing your result quantitatively with an accepted value or published data, and say what your uncertainties let you conclude.
Criterion D
Evaluation
3 / 6
How to improve
- Rank the weaknesses by their likely impact on the gradient
- Tie each improvement to the specific error it addresses
To reach 4/6
Explain the relative impact of each weakness on your result and match each improvement to the error it addresses.
What's already working
- A focused research question with controlled variables
- A reproducible method
- Repeats taken and averaged
- Specific, realistic evaluation of weaknesses