This is a sample report
Illustrative feedback on a made-up Geography fieldwork report — this is what Wenzify gives you for your own IA.
How does the urban heat island effect vary across the central business district of my town?
A well-located fieldwork study with a clear question and sound methods. The analysis describes the pattern more than it explains it, the maps lack a scale and key, and the evaluation of data reliability is thin.
~2380 words · Up to 2,500 words. Maps, data tables, graphs, figures and the bibliography are not counted.Estimated
16–20
out of 25
GoodDraft history
How this commentary developed, draft by draft — a record you can show your teacher.
1 Sept 2026
~2380 words
0/3 checklist done
Focus on these first
The highest-impact changes, in order.
Explain the pattern, don't just describe it
Account for the anomalies site by site, linking temperatures to specific urban surfaces.
Written analysis (Criterion D)
Finish your maps and graphs
Add a scale, north arrow and key, and match each graph type to its data.
Data presentation (Criterion C)
Ground the conclusion and evaluation
Base the conclusion on your evidence and explain how each limitation affects reliability.
Conclusion & evaluation (Criteria E, F)
Comments on your text
Click a highlighted passage to see its comment.
Criterion breakdown
Criterion A
Fieldwork question and geographic context
2 / 3
How to improve
- Link the question to urban heat island theory more explicitly
To reach 3/3
Tie your question to the geographic theory of the urban heat island so the context is fully justified.
Criterion B
Methods of investigation
2 / 3
How to improve
- Justify the sampling interval and number of sites
- Note how instrument accuracy was checked
To reach 3/3
Justify your sampling strategy and instrument reliability so the methods are clearly reasoned.
Criterion C
Quality and treatment of information collected
4 / 6
How to improve
- Add a scale, north arrow and key to the map
- Match each graph type to the data it shows
To reach 5/6
Present data with complete, accurate techniques — a scale, key and the right graph for each variable.
Maps, data and presentation
Image 1 · Choropleth map
Figure 1 — Choropleth map of temperature across the CBD
Data presentation section
- Add a scale bar, north arrow and key with class boundaries
- Refer to specific sites when describing the pattern
Criterion D
Written analysis
5 / 8
How to improve
- Explain the anomalies, not just the overall trend
- Link the pattern to specific urban surfaces and their properties
To reach 6/8
Move from describing the pattern to explaining it — account for anomalies using the geography of each site.
Criterion E
Conclusion
1 / 2
How to improve
- Support the conclusion with specific evidence and note its limits
To reach 2/2
Base the conclusion on your analysed evidence and state what your data does and doesn't allow you to claim.
Criterion F
Evaluation
2 / 3
How to improve
- Explain how each limitation affects the reliability of the result
To reach 3/3
Explain the impact of each limitation on your conclusion and suggest a targeted improvement.
What's already working
- A focused fieldwork question with a clear transect design
- Appropriate primary data collection
- A varied set of presentation techniques
- A clear description of the spatial pattern