Adjust survey design for practicality

Adjust survey design for practicality — real work, not an imagined feature: named inside 10 evidenced career tasks. Below are four ready AI prompts for it, one per height of help: do it, make it easier to accept, decide when you are stuck, and change the pattern for good.

10career tasks name it
4prompt heights

The four heights

The same task, four distances: today's deadline, the next reviewer, the stuck moment, the pattern.

Execute — do the immediate task

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We have to adjust the household survey for field teams to make data collection feasible. Send the…
We have to adjust the household survey for field teams to make data collection feasible. Send the revised instrument and the enumerator notes to Luis, the field supervisor, and to Mei, the PI, asking them to confirm which questions can be dropped and which must remain by Thursday so training can proceed.

Improve — make it easier to accept

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Before I finalize this practical version of the survey, make it easy for field reviewers: put…
Before I finalize this practical version of the survey, make it easy for field reviewers: put estimated interview time and respondent burden at the top, move sensitive and complex modules into optional sections, mark questions that require translation or show cards, and flag anything that would make an enumerator hesitate to ask in the field.

Decide — diagnose the stuck moment

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Enumerators just reported that the full questionnaire takes 35 minutes in practice, blowing our…

field teams reported interviews take 35 minutes, not 20

Enumerators just reported that the full questionnaire takes 35 minutes in practice, blowing our target of 20 and risking respondent fatigue. I cannot tell which modules are essential versus negotiable for analysis. What is the likeliest pruning that preserves primary outcomes and the best immediate cut to meet the 20-minute target?

Become — change the pattern

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Across studies our field surveys keep exceeding target interview lengths, forcing late design cuts…

surveys repeatedly overrun planned interview time

Across studies our field surveys keep exceeding target interview lengths, forcing late design cuts and compromising measures. Is the root cause question creep, poor pretesting, or overambitious measurement? Recommend one sustainable change to keep instruments within fieldable time limits without losing core data quality.

Where the evidence lives

Who was seen doing this, and what people really ask.

Software tasks in the LLOS Work Atlas come from evidence, never a feature list: careers attested to do the work, real job descriptions, and the questions people actually ask (with their view counts). Facets — feature, workflow, troubleshoot, administer, deploy, scale — are open metadata: the work decides, not a taxonomy.
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The rest of the map

Same library, five ways in.