The four heights
The same task, four distances: today's deadline, the next reviewer, the stuck moment, the pattern.
Execute — do the immediate task
+I collected visitor counts and survey comments from the spring exhibit and need a short report for…
Execute — do the immediate task
+I collected visitor counts and survey comments from the spring exhibit and need a short report for the director. Compile the data into a one-page summary showing attendance trends, top three requested programming topics, and recommended next-step experiments to test demand. Email the summary to Carol in programming and to Tom in finance, asking them to discuss it in the Friday strategy meeting.
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Improve — make it easier to accept
+Before I send this market-research memo to programming, make the findings easy to act on: put the…
Improve — make it easier to accept
+Before I send this market-research memo to programming, make the findings easy to act on: put the headline demand signal at the top, show attendance change as a single percent and a one-line interpretation, list the three program ideas with estimated cost and required space, and highlight anything that would make the finance team hesitate.
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Decide — diagnose the stuck moment
+Survey results show 'more workshops' as the top demand but don't say what kind — hands-on pottery,…
Decide — diagnose the stuck moment
+I ran visitor surveys but the top request category is vague: 'more workshops'.
Survey results show 'more workshops' as the top demand but don't say what kind — hands-on pottery, lectures, or family crafts. I can run a quick follow-up poll, pilot two small formats, or assume pottery and design a program. I don't have time for a long A/B test before the summer calendar deadline. What's the most pragmatic next move to diagnose actual demand and present a defensible recommendation to the director?
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Become — change the pattern
+Over three exhibits we keep launching full programs based on ambiguous survey language, wasting…
Become — change the pattern
+We keep reacting to survey noise instead of testing a few formats.
Over three exhibits we keep launching full programs based on ambiguous survey language, wasting staff time and budget. What habit should I change to convert open-ended feedback into testable hypotheses and rapid pilots so we only scale what shows clear demand? Recommend a one-paragraph protocol and a timing cadence.
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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.
Copyright © LLOS.ai · 2026 — original pedagogy, voice, and design — all rights reserved.
The rest of the map
Same library, five ways in.