If you ask instructors what students struggle with most in lab reports, they rarely say “the title page.” The real chaos usually happens in the Results and Discussion sections. Students either repeat the same ideas twice or they pack both sections into one long paragraph that mixes numbers, interpretation, excuses, and conclusions.
The good news: once you understand the different jobs of Results and Discussion, writing both sections becomes much easier. This guide will show you how to keep them clearly separated, how to decide what goes where, and how to move from raw data to a convincing explanation without sounding confused or repetitive.
Why Results and Discussion Get Mixed Up
On paper, the difference seems simple:
-
Results = what you found
-
Discussion = what it means
In real life, your brain does not naturally separate those steps. The moment you see a graph or table, you automatically start thinking about why it looks the way it does. When you sit down to write, this inner commentary sneaks into the Results. A few paragraphs later, you have nothing fresh to say in the Discussion.
There are three main reasons this happens:
-
Lack of a clear question.
If you are not completely sure what question your experiment is answering, you end up writing around the data instead of directly toward a specific aim. The sections blur into each other. -
Fear of sounding “too simple.”
Students sometimes feel that just stating numbers or describing a trend is not “smart enough,” so they immediately jump into explanations in the Results. This steals material from the Discussion. -
Trying to fix bad data by storytelling.
When results do not match theory, it is tempting to hide behind a narrative that mixes data and interpretation in one place. This makes it hard for the reader to see what actually happened in the experiment.
The fix is to treat Results and Discussion as two separate layers of the same story: first you show the evidence, then you interpret it. If you keep that order sacred, your report becomes much clearer and easier to grade.
What Belongs in the Results Section (and What Doesn’t)
Think of the Results section as the evidence room of your lab report. Everything here should be factual, observable, and directly connected to the measurements you took.
Core tasks of the Results section
A strong Results section does three things:
-
Presents the data in an organized way.
Tables, graphs, and key numerical values appear here with clear labels and units. Raw data may be placed in an appendix, while processed data and summary statistics stay in the main Results. -
Highlights patterns and trends.
You describe what the data show without explaining why they look that way. Sentences like “Current increased as voltage increased” or “Enzyme activity peaked at 37°C” belong here. -
Links figures and tables to the text.
You guide the reader through the visuals by referencing them: “As shown in Figure 2…” or “Table 1 summarizes the average reaction times.”
To keep things clean, it helps to imagine that your Results could be read by a scientist who already knows the theory very well. They do not need long explanations; they just want to see exactly what the experiment produced.
What to include and what to avoid
Here is an easy rule: if a sentence could be true even in a different experiment using the same theory, it probably belongs in the Discussion, not in Results. Results must be tied to your data.
You can safely include:
-
numerical values, ranges, and averages
-
graphs with axes and units
-
brief statements of what increased, decreased, stayed constant, or changed shape
-
notes on visible changes (color, precipitate, phase change) linked to the experiment
Try to avoid:
-
long explanations of why the trend occurred
-
detailed error analysis or criticism of the method
-
references to textbooks or theoretical models beyond a quick comparison (“close to expected value”)
You can hint at what is coming next with a neutral phrase such as “This trend will be examined in the Discussion,” but resist the urge to give the full explanation here.
What Belongs in the Discussion Section
If Results are the evidence room, the Discussion is the courtroom argument. Here you use theory and reasoning to explain what the evidence means, how strongly it supports your hypothesis, and what its limitations are.
Main goals of the Discussion
A focused Discussion section:
-
Answers the experimental question.
You say clearly whether the hypothesis was supported, partially supported, or not supported by the data. The answer may be subtle, but it should be direct. -
Connects results to theory.
You explain how specific numerical or visual trends match (or fail to match) the model or law you discussed in the introduction. Equations or theoretical values may appear here to support your argument. -
Explains anomalies, uncertainties, and limitations.
Instead of hiding imperfections, you analyze them. Which sources of error likely had the biggest effect? Were there design constraints that made certain conclusions weaker? -
Shows what the experiment teaches.
You may briefly suggest what the findings imply for real-world applications or future investigations, as long as it relates directly to your data.
Keeping Discussion from turning into Results 2.0
Because you’re now allowed to interpret, it is easy to slip back into repeating all your data. To avoid that, think of your Results as the “what” and your Discussion as the “so what.”
Typical Discussion sentences include phrases like:
-
“These findings suggest that…”
-
“This result is consistent with the prediction that…”
-
“One likely explanation for the deviation from the theoretical value is…”
-
“An important limitation of this experiment is…”
What you want to avoid is re-stating every number: “The mean was 3.4, the median 3.2, the standard deviation 0.5,” unless those specifics are directly used in your argument. Focus on patterns, comparisons, and implications, not on pure repetition.
Examples and Phrases That Keep Results and Discussion Separate
Sometimes it is easiest to see the difference through concrete examples. Imagine you performed an enzyme activity lab measuring reaction rate at different temperatures.
Example for Results
“The reaction rate increased between 10°C and 37°C, reaching a maximum average rate of 2.8 μmol/min at 37°C. At 50°C, the rate decreased to 1.1 μmol/min, and at 60°C it dropped close to zero (Figure 1).”
Notice what this does:
-
Mentions specific trends and values
-
Refers to a figure
-
No mention of denaturation, optimal temperature theory, or explanations of why the rate falls
Example for Discussion
“The increase in reaction rate from 10°C to 37°C reflects the typical temperature dependence of enzyme-catalyzed reactions, where higher kinetic energy leads to more frequent collisions between enzyme and substrate. The sharp decline at 50°C and near-zero activity at 60°C support the prediction that the enzyme denatures at high temperatures, losing its functional shape.”
Here you see:
-
Theory (kinetic energy, denaturation)
-
Interpretation of the pattern
-
Direct language about supporting a prediction
If you accidentally put the second paragraph in the Results section, your Discussion would have little left to add.
Using a simple decision filter
When you’re unsure where a sentence belongs, use this quick mental test:
-
Does this sentence describe what was observed or measured? → Results.
-
Does it explain, compare to theory, or evaluate the data? → Discussion.
Over time, this filter becomes automatic, and your drafts start much cleaner.
Putting It All Together: Workflow for Writing Clear Reports
Knowing the theory is good, but you also need a practical workflow you can follow every time you write a lab report. A consistent process prevents Results and Discussion from bleeding into each other.
Step 1: Clean up your data before writing
After the lab session, rewrite any messy measurements into clear tables. Perform necessary calculations, create graphs, and verify units. Once the numbers are stable, you can focus on writing instead of constantly editing data.
Step 2: Draft the Results section first
Using your cleaned-up tables and graphs:
-
decide which visuals belong in the main body and which can move to an appendix;
-
write short paragraphs that describe each key pattern in order: for example, “Table 1 shows…”, “Figure 2 illustrates…”.
Do not worry yet about why the patterns appear; you only need to present them faithfully. If you catch yourself typing “because,” pause and ask whether that explanation might be a better fit for the Discussion.
Step 3: Outline the Discussion using questions
Before you draft full paragraphs, outline the Discussion by answering a set of guiding questions in bullet or note form:
-
Did the results support the hypothesis?
-
How do they compare with expected theoretical values or model predictions?
-
Which results were surprising or inconsistent?
-
What specific factors (measurement limits, equipment calibration, sample size, assumptions in the method) could explain discrepancies?
-
What does this experiment teach about the underlying concept, beyond the numbers?
This outline keeps your Discussion purposeful and helps you avoid wandering off into unrelated theory.
Step 4: Write the Discussion as an argument, not a diary
When you turn the outline into polished text, imagine explaining your findings to a classmate who missed the lab but understands the theory. They don’t need a minute-by-minute story; they need a coherent argument.
A good sequence is:
-
Start with a direct statement about whether the hypothesis was supported.
-
Back it up by referencing key trends or values from the Results.
-
Connect those trends to theoretical expectations.
-
Explore deviations and limitations, giving specific, realistic sources of uncertainty.
-
End with a short paragraph on what could be improved or explored next.
This structure keeps the Discussion tight and reduces the urge to repeat every small detail.
Step 5: Check for redundancy and move sentences if needed
Once both sections are drafted, read them back-to-back and look for repetition. It is normal to find sentences that sound more like interpretation in Results or more like data description in Discussion. Do not hesitate to move them.
Ask yourself:
-
If I delete this sentence from Results, does any essential data disappear?
-
If I delete this sentence from the Discussion, does any important interpretation disappear?
Your goal is that each section feels necessary and non-duplicated. By the end, a reader should be able to skim Results for a quick overview of the data and then read Discussion for the full explanation without feeling like they are reading the same thing twice.
Step 6: Align both sections with the introduction and conclusion
Finally, step back and see the report as a whole. The introduction raised a question and proposed a hypothesis; the Results provided evidence; the Discussion interpreted that evidence; the conclusion will deliver the final takeaway.
If the key message in your Discussion doesn’t match the aim stated in your introduction, adjust one of them. Consistency makes your writing feel confident and intentional, even when the data were messy.
Learning to separate Results and Discussion is less about memorizing rules and more about training yourself to think like a scientist in two stages: first, observe, then interpret thoughtfully. Once that habit clicks, your lab reports stop feeling like random essays and start looking like real pieces of scientific communication — the kind that instructors love to read and that future you will be proud to look back on.