AI Enablement

AI Productivity Toolkit

Short lessons and practice for putting AI into everyday work

Format: Scrolling microlearning with practice activities
Audience: Knowledge workers and team leads
Length: 25 minutes
Sections: 4

Portfolio demonstration. This course was designed and built by Kirsten Alburg to show instructional design capability. It was not created for a client and is not built in Articulate.

Lesson 1

Pick the right tasks

A small team reviewing an AI-assisted workflow together on a laptop — The highest-value use of these tools is almost never the flashiest one — it's the weekly task nobody enjoys.

The fastest way to lose trust in an AI tool is to use it for the wrong task. The second fastest is to use it for the right task without checking the output.

This toolkit gives you a task filter, a prompt structure, and three workflows you can use tomorrow.

Learning objectives

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Why it matters: The productivity gain from AI is not in using it more — it is in knowing which tasks it should touch and how to specify them well enough to trust the output.
Where you will use it: Daily drafting, research synthesis, and any recurring task you have quietly accepted as tedious.

The task filter

Good fit

Drafting, restructuring, summarizing, brainstorming alternatives, converting between formats, and rewriting for a different audience.

Use with verification

Anything factual, numerical, legal, medical, or attributed to a source. Treat every claim as unconfirmed until checked.

Poor fit

Decisions requiring accountability, confidential data you cannot share, and judgments about people.

Lesson 2

Write a prompt that works

Four parts of a reliable prompt

Tell the tool whose expertise to apply: "You are an instructional designer reviewing a compliance module." This shapes vocabulary and priorities.

Before and after

0/3 flipped

Tap a card to flip it over.

Lesson 3

Three workflows to steal

Draft yourself in bullet form, then ask the tool to expand into prose in your voice. Starting from your own thinking keeps the output yours and cuts revision time in half.

Knowledge check

Which task should get the heaviest human verification?

Lesson 4

Practice and resources

Practice activity

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Choose one task you repeat weekly. Write a four-part prompt for it — role, context, task, and format.

Responses stay in your browser — this is a portfolio demonstration, nothing is submitted.

Resources

Four-part prompt cardOne page: role, context, task, format, with three worked examples.
Task filter checklistDecide in thirty seconds whether a task is a good AI candidate.
Verification guideHow deep to review, matched to the risk level of the output.

Job aid

Prompt Quality Checklist

A reusable structure for prompts you will run more than once.

Performance support like this is what keeps the behavior alive after the course ends.

Course complete

Toolkit complete. You have a task filter, a prompt structure, three workflows, and job aids to keep them in reach.

Your scorecard

Curious

XP earned

Interactions

Best streak

Badges

First MoveMomentumDeep ExplorerDesign Thinker

Points, streaks, and badges are part of the demonstration — they model how light gamification can keep adult learners moving without turning training into a game show.

Behind the build

Design Decisions

The instructional thinking behind this learning experience. Every interaction has a purpose; every design decision supports a learning objective.

Learning challenge

People who had been through an AI introduction still lost time, because they had prompting technique and no view of which of their tasks were worth automating.

Audience

Primary learners: Knowledge workers who already use AI tools occasionally.
Prior knowledge: Basic prompting; no framework for task selection or quality control.
Learning need: A repeatable weekly workflow rather than a bag of tricks.
Context of use: Applied to their own recurring work between meetings.

Learning objectives

Audit a week of work and identify the tasks worth delegating.
Apply a reusable prompt pattern to a recurring task.
Review AI output against a quality bar before use.
Build a personal workflow that survives a busy week.

Design case study

Read the full breakdown

Challenge

Organizations buy AI licenses and see low sustained use. People try a tool once, get a mediocre result, and return to their old workflow without ever learning what the tool is genuinely good at.

Instructional strategy

Microlearning with performance support. The course is short by design because the real learning happens in the workflow — so the durable artifacts are the job aids, and the module exists to make them make sense.

Reflection

Writing this forced honesty about where AI actually saves time in my own design practice. The list is shorter than the hype suggests and more useful than skeptics expect.