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Task Response Maximizer: Cover All Parts Toolkit

Stop losing marks to incomplete answers. This toolkit shows how to decode prompts, map every bullet or clause to a paragraph job, and write claims that match the task type. Includes two annotated examples, a mini case from Dhaka, measurable drills, edge cases, and a how-to closing.

6 Minute Read
Last Updated 3 months ago

What Task Response means, in plain English
Task response is how completely and directly you answer what the question asks. Prompt decoding is the 60 to 90 second analysis that turns the question into jobs for paragraphs. Scope is how wide your claim is. An instruction verb tells you the task shape, for example discuss, evaluate, explain. A stance is your position. Coverage means each part of the prompt appears in your plan and in your final text.

The Cover-All-Parts framework (CAP)

  1. Decode the prompt: underline instruction verbs, circle the topic, box constraints like in your country or in future.
  2. Extract parts: list sub-questions or bullets. For two-part questions there are usually two clauses. For discuss both views there are three parts: view A, view B, your view.
  3. Assign jobs: map each part to one paragraph job. Do not let one paragraph hold two jobs.
  4. Choose lenses: decide the angle for each body, for example cost or access or safety.
  5. Write claim-first topic sentences: each body opens with a clear claim that targets its job.
  6. Add evidence and a scope line: name a place, group, or small number and one limit using unless, only if, or to some extent.
  7. Close with synthesis: restate your stance and mention the main outcome. No new jobs in the conclusion.

Task-type decoder with paragraph jobs

  • Opinion (agree or disagree): Body 1 = your strongest reason, Body 2 = your second reason plus a brief counterpoint.
  • Discuss both views and give your opinion: Body 1 = best argument for View A + its limit, Body 2 = best argument for View B + its limit, conclusion = your stance with a reason.
  • Advantages or disadvantages: Body 1 = key advantage + example + limit, Body 2 = key disadvantage + example + limit, intro and conclusion balance them.
  • Problem and solution: Body 1 = most important problem + mechanism + scale, Body 2 = most feasible solution + conditions for success.
  • Two-part question: Body 1 = answer Q1 directly, Body 2 = answer Q2 directly; each with its own example.

Coverage Matrix (fast checklist)
Write a 3 line grid under your plan:

  • Row 1: all parts of the prompt in short phrases.
  • Row 2: paragraph where each part will appear.
  • Row 3: evidence tag for each part, for example Dhaka bus lanes, 15 percent, campus clinic.
    If any part lacks a paragraph or evidence tag, your task response is at risk.

Example 1 — Two-part question, fully covered

Prompt: Why do many people buy second-hand goods. What are the effects on businesses and the environment.

Plan with CAP

  • Body 1 job = reasons. Topic sentence: People buy used items to cut costs and access higher-quality brands. Evidence: Dhaka electronics markets, phones at half price. Scope: works if sellers test devices.
  • Body 2 job = effects. Topic sentence: The resale market pushes firms to improve durability while reducing waste. Evidence: repair cafés and parts supply. Scope: small shops may suffer without service niches.
    Conclusion: resale improves affordability and lowers landfill if quality checks exist.

Why this maximizes task response
Each clause is answered in its own body. Effects cover both businesses and the environment, not just one.

Example 2 — Discuss both views and give your opinion

Prompt: Some think public money should fund art museums, while others argue it should go to community sports. Discuss both views and give your opinion.

Plan with CAP

  • Body 1 job = View A. Claim: Museums safeguard heritage and educate students at scale. Evidence: school visits, rotating exhibits. Limit: access can be uneven outside capitals.
  • Body 2 job = View B. Claim: Community sports deliver weekly health gains and social ties. Evidence: ward-level parks and courts. Limit: facilities need maintenance funding.
    Your opinion: prioritise sports in dense districts while giving museums stable but smaller grants tied to outreach.

Why this maximizes task response
Both views receive their strongest point and a limit. The opinion synthesises, not repeats.

Mini case — Atik from Chattogram

Problem: Atik wrote strong paragraphs but missed one part in many two-part questions.
Intervention: He used the Coverage Matrix and set a rule: no drafting until every prompt part had a paragraph job and one evidence tag. He timed 4 minutes for mapping, 30 for writing, 4 for checking.
Result: Over 10 essays, missing-part errors fell from 4 to 0, average words dropped from 330 to 280, and his mock band rose from 6.0 to 7.0.

Measurable drills

  • 60-second extraction: underline verbs and list the parts. Target 100 percent correct extraction in 60 seconds.
  • Two-topic-sentence test: write claim-first topic sentences for Body 1 and Body 2 in 90 seconds.
  • Evidence quota: require one named place or number per body. Track a 100 percent hit rate for a week.
  • Limit line habit: add one scope line with unless, only if, or to some extent in each body.

Common mistakes

  • One body for two jobs: mixing reasons with effects. Split them.
  • Theme not claim: “Sports are important” is not a job-focused topic sentence.
  • New idea in conclusion: breaks coverage and coherence.
  • Ignoring constraints: prompts narrowed to your country need local examples.
  • Overclaiming: writing always or only when the prompt is partial.

Edge cases and safe fixes

  • Double-barrelled reasons: if the first part is why and the second is how to solve, use Problem and solution mapping, not Opinion mapping.
  • Implied viewpoints: some discuss questions hide the third job your view in the instruction line. Reserve conclusion space for it.
  • Data-led stems: when a chart or study is quoted, answer the task, not the study’s politics. Keep to coverage jobs.

Tips and tricks

  • Draft the conclusion first in one sentence. It clarifies jobs for the bodies.
  • Use verbs of effect in topic sentences: increases, reduces, enables, undermines.
  • Build a mini bank of lenses: cost, access, safety, fairness, long term. Assign one per body to avoid overlap.
  • Write the word because on your plan; it forces explanations, not slogans.

To avoid

  • Vague fillers like many people think without a claim and evidence.
  • Paragraphs with two examples and no reasoning.
  • Overuse of statistics you cannot justify.
  • Switching task type mid-essay, for example turning discuss into problem and solution.

Glossary
Task response — how fully the essay answers the prompt.
Prompt decoding — turning the question into paragraph jobs.
Scope — how wide your claim is.
Instruction verb — discuss, evaluate, explain, compare.
Lens — the angle you use, for example cost or access.
Coverage — ticked off parts of the prompt in plan and draft.

Next steps
Take three recent prompts. For each, run the CAP framework, fill a Coverage Matrix, and write two claim-first topic sentences with an evidence tag and a scope line. Draft one full essay and check that each part appears exactly once in the bodies and is synthesised in the conclusion.

  1. Actionable closing — How-to steps
  2. Decode the prompt: mark verbs, topic, and constraints in 60 seconds.
  3. Extract parts: list each clause or bullet in your own words.
  4. Assign jobs: map one part per body.
  5. Choose lenses: pick a unique lens per body to avoid overlap.
  6. Write claim-first topic sentences with verbs of effect.
  7. Add one evidence tag and one scope line per body.
  8. Draft a one-line conclusion that synthesises your stance.
  9. Run the Coverage Matrix. If any part is unticked, fix before writing.
    CTA: Pick one two-part prompt today. Build the Coverage Matrix, write two claim-first topic sentences with evidence and scope lines, then draft 270 words. Time 4–30–4 and record whether all parts were covered once and only once.