Master this essential documentation concept
Any resource — such as a job aid, checklist, or quick-reference guide — designed to help workers complete tasks correctly at the moment of need, without requiring prior memorization.
Performance Support Tools (PSTs) are task-focused resources that meet workers exactly where they are — in the middle of a task, facing a decision, or navigating an unfamiliar process. Rather than relying on employees to recall training from weeks or months ago, PSTs embed the right information into the workflow at the precise moment it's needed. For documentation teams, this philosophy shapes not only the tools they build for end users but also the internal resources they use to maintain consistency and quality in their own work.
Many teams capture process knowledge by recording walkthroughs — a trainer shares their screen, narrates each step, and uploads the video to a shared drive or internal wiki. The intention is solid: give workers something to reference when they need help completing a task. The problem is that video rarely functions well as a performance support tool in practice.
When someone is mid-task and needs a quick answer, scrubbing through a 12-minute recording to find the one step they're unsure about creates friction — not support. A new hire trying to submit an expense report correctly, or a support agent navigating an unfamiliar system workflow, needs to find the right information in seconds, not minutes. Video alone doesn't offer that.
Converting your screen recordings into structured, step-by-step how-to guides changes the dynamic entirely. Each screenshot anchors a specific action, each instruction stands on its own, and the whole guide becomes scannable and searchable. Your team can jump directly to step 7 without rewinding anything. That's what makes a resource genuinely useful as a performance support tool — it meets people where they are, with exactly the detail they need, right when they need it.
If your team has a library of process recordings that aren't getting used the way you intended, see how converting them into guides can close that gap.
New documentation writers frequently submit drafts that miss style guide requirements, lack proper metadata, or skip mandatory review steps — creating rework cycles and delaying publication.
Create a pre-submission checklist PST that new writers consult before handing off any document. The checklist covers tone, formatting, metadata fields, accessibility requirements, and review routing — eliminating guesswork at the moment of submission.
1. Audit the top 10 most common errors in new writer submissions over the past six months. 2. Map each error to a specific checklist item written as an action verb (e.g., 'Confirm alt text is added to all images'). 3. Format the checklist as a one-page PDF and embed it in the team's project management tool as a task template. 4. Require checklist completion as a gate before peer review begins. 5. Review and update the checklist quarterly based on new errors observed.
Reduction in revision cycles by 40-60%, faster time-to-publish for new hires, and consistent document quality across all contributors regardless of experience level.
Developers using API documentation frequently abandon the docs and file support tickets when they cannot quickly locate authentication methods, error codes, or endpoint parameters — even when that information exists in the documentation.
Build a scannable quick-reference card PST that consolidates the most-accessed API information — authentication patterns, common error codes, rate limits, and base URLs — into a single one-page resource linked prominently from the main API docs.
1. Analyze support tickets and search queries to identify the top 10 most-searched API topics. 2. Extract only the essential reference data for each topic — no explanatory prose. 3. Format using a two-column table layout with code snippets inline. 4. Host the quick-reference card as a pinned, versioned page in the documentation portal. 5. Add a persistent 'Quick Reference' link in the API docs navigation sidebar. 6. Update the card with every API version release.
Measurable decrease in support tickets for documented topics, improved developer satisfaction scores, and faster integration times for new API users.
Documentation teams working in regulated industries (healthcare, finance, legal) struggle to determine which approval workflows apply to different document types, leading to either over-engineering simple updates or under-reviewing high-risk content.
Develop a decision tree PST that guides writers through a series of yes/no questions to identify the correct review and approval path for any document before work begins.
1. Collaborate with legal, compliance, and senior editors to map all document types to their required review paths. 2. Identify the three to five key decision points that determine review level (e.g., 'Does this document contain patient data?', 'Is this a regulatory submission?'). 3. Build the decision tree in a visual tool (Lucidchart, Miro) and export as an embeddable image. 4. Embed the decision tree at the start of every new document request form. 5. Validate the tree with compliance officers before launch and schedule semi-annual reviews.
Zero compliance violations due to missed review steps, reduced time spent by senior staff answering routing questions, and a clear audit trail for document approval decisions.
Users of complex enterprise software read the documentation but still struggle to apply instructions correctly because they lose context switching between the docs and the application interface.
Implement embedded tooltip PSTs directly within the software UI that surface micro-content — one to three sentences plus a link — when users hover over or click on complex fields, buttons, or settings.
1. Identify the top 20 UI elements generating the most support requests or help searches. 2. Write micro-content for each element: one action sentence, one consequence sentence, and one 'Learn more' link to full documentation. 3. Work with the product team to implement tooltips using the application's help framework or a third-party tool like WalkMe or Pendo. 4. A/B test tooltip placement and trigger behavior (hover vs. click). 5. Track tooltip engagement and support ticket correlation monthly to measure impact.
Users complete complex tasks without leaving the application, support ticket volume drops for tooltip-covered features, and documentation engagement increases through contextual 'Learn more' link clicks.
The most effective PSTs are built around a specific action a user needs to complete, not around a subject area. Documentation professionals often default to organizing content by topic (e.g., 'Everything about metadata'), but PSTs should be organized by task (e.g., 'How to add metadata before publishing'). This task-first design ensures the resource is immediately actionable rather than informational.
PSTs are consulted under time pressure, often mid-task, when users cannot afford to read full paragraphs. Every design decision should optimize for scanning speed: numbered steps, bold key terms, consistent icons, white space, and short sentences. Documentation teams should apply the same plain language and visual hierarchy principles they use for end-user docs to their internal PSTs.
A PST that lives in a shared drive folder three clicks away from the workflow will not be used. The value of a performance support tool is directly proportional to how close it is to the moment of need. Documentation teams should embed PSTs inside the tools, systems, and workflows where tasks actually happen — not in a separate knowledge base that requires deliberate navigation.
A PST that reflects outdated processes is worse than no PST — it creates confident errors. Documentation teams must treat PSTs as living documents with the same versioning discipline applied to product documentation. Every process change, tool update, or policy revision should trigger a review of related PSTs. Assign ownership to specific team members to prevent 'everyone's responsibility' becoming no one's responsibility.
Documentation professionals often design PSTs based on their own expert knowledge of a process, inadvertently skipping steps that feel obvious to them but are critical for novice users. User testing — even informal observation of one or two people attempting a task with the PST — reveals gaps, ambiguous language, and missing context before the tool is distributed widely. This validation step dramatically improves first-use success rates.
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