Writing a Spanish Analytical Essay That Weighs Competing Explanations

In this lesson, you will write an analytical essay that compares competing explanations for the same phenomenon using shared criteria and evidence. You will state what each explanation accounts for, what it leaves unexplained, and what assumptions it depends on. Your conclusion should preserve uncertainty and multiple causation when the evidence does not justify one exclusive cause.

Essay question

— Why did complaints about the nighttime transport service increase during the summer?

Evidence set

— Data point 1: passenger numbers increased by 18% between June and August.

— Data point 2: the number of available drivers decreased for three weeks in July.

— Data point 3: in June, a new app was introduced that made it easier to submit complaints by phone.

— Data point 4: average waiting time increased mainly in July, but the number of complaints remained high in August.

Explanation 1: greater demand

— Explanation 1: the increase in passengers created more pressure on available capacity.

What it explains well:

— It can explain why waiting times increased when the system had to serve more users.

What it does not explain fully:

— By itself, it does not explain why complaints remained high when some waiting times decreased in August.

Explanation 2: temporary staff shortage

— Explanation 2: the temporary reduction in drivers worsened waiting times during July.

What it explains well:

— It coincides with the period when waiting times reached their highest level.

Limit:

— Because the staff reduction lasted only three weeks, it explains the persistence of complaints during August less well.

Explanation 3: easier complaint reporting

— Explanation 3: the new app reduced the effort required to submit a complaint.

What it explains:

— It can explain why the number of complaints increased even when service quality did not deteriorate in the same proportion.

Limit:

— It does not show that complaints were only an effect of the new channel, because there is also evidence of longer waits.

Use shared criteria

Criterion 1:

— temporal fit.

Criterion 2:

— ability to explain the increase in waiting times.

Criterion 3:

— ability to explain why complaints remained high in August.

Criterion 4:

— compatibility with the other evidence.

Essay introduction

— The increase in complaints during the summer can be explained by at least three factors: greater demand, a temporary staff reduction, and a new digital channel for submitting complaints. None of these factors alone explains the entire observed pattern. To compare them, it is useful to examine their temporal fit and their ability to explain both waiting times and the evolution of complaints.

Analytical paragraph on demand

— The increase in passengers offers a plausible explanation for pressure on the service, since demand grew by 18% between June and August. This factor is compatible with longer waits, but it is not sufficient to explain why complaints remained high in August when times improved partially. Its main strength is explaining structural pressure, not the entire monthly variation.

Analytical paragraph on staffing

— The temporary driver shortage appears especially relevant to July, when waiting times reached their maximum. However, its limited duration reduces its ability to explain the complaint level in August. It is therefore likely to have acted as an aggravating factor during part of the period rather than as a complete explanation for the whole summer.

Analytical paragraph on reporting channel

— The new app introduces a different explanation: it may have increased the visibility of problems that previously generated fewer formal complaints. This hypothesis fits the persistence of complaints in August, but it does not allow us to conclude that service deterioration was merely apparent, because July data show a real increase in waiting times.

Identify assumptions

Demand explanation assumes that capacity did not rise proportionally.

Spanish formulation:

— This argument assumes that available capacity did not increase at the same rate as demand.

Reporting-channel explanation assumes the app materially changed reporting behavior.

Spanish formulation:

— This explanation depends on the new app having significantly changed the ease of or willingness to complain.

Balanced conclusion

— The strongest explanation is multifactorial. Demand growth created general pressure on the service; the temporary reduction in drivers worsened waiting times in July; and the new app probably increased the proportion of problems that became formal complaints. The available data do not allow the weight of each factor to be calculated precisely or other factors to be excluded. A reasonable conclusion is therefore that the increase in complaints reflects both changes in the service and changes in the way dissatisfaction was recorded.

Analytical-essay checklist

Define the phenomenon to be explained.
Present competing explanations fairly.
Use the same criteria to compare them.
State what each explanation accounts for.
State what each explanation leaves unexplained.
Identify assumptions that the evidence does not directly establish.
Allow several factors to operate together when the data support that reading.
End with a conclusion whose certainty matches the evidence.

From Analytical Writing to Regional Interview Comprehension

You can now weigh competing explanations without forcing a single cause. The next lesson teaches Understanding Caribbean and Chilean Spanish in Extended Interviews.