Produce statistical reports and visualizations

Produce statistical reports and visualizations — real work, not an imagined feature: named inside 9 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.

9career 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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I need the weekly KPIs for the executive meeting. Build the report and charts, then email the PDF…
I need the weekly KPIs for the executive meeting. Build the report and charts, then email the PDF to Priya, the branch manager, and Sam, the planning director, with a note that the visuals are for the 10 a.m. review on Thursday; confirm the underlying data covers Monday through Sunday and that the trend chart uses consistent scales.

Improve — make it easier to accept

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Before I hand this dashboard to Sam and Priya, make the visuals faster to scan: surface the three…
Before I hand this dashboard to Sam and Priya, make the visuals faster to scan: surface the three headline metrics at the top, convert the stacked bar into a small-multiples view so each region stands alone, annotate any week with a variance over ten percent, and move the data table to the end so reviewers can validate numbers if they want.

Decide — diagnose the stuck moment

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I updated the KPI dashboard and the trend line for conversions has a sharp spike in week 14. Priya…

The trend chart spikes on week 14 and no one knows why.

I updated the KPI dashboard and the trend line for conversions has a sharp spike in week 14. Priya will ask about it in the Thursday review and I need an answer. I don’t know if this is a data load error, a real campaign effect, or a filter mismatch. What are the quickest diagnostic steps to prove whether week 14 is valid and what to prepare to explain it to Priya?

Become — change the pattern

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Over six months we keep reformatting dashboards for the execs but they only focus on two numbers…

We waste hours polishing charts the execs ignore.

Over six months we keep reformatting dashboards for the execs but they only focus on two numbers and ignore the rest; prep time is draining planning. What change in how we build and circulate weekly visual reports would save five hours a week and actually get the branch manager to engage with the right metrics?

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.