An application label should describe how a tool is used in a role. It should not become a shortcut for deciding whether a person did good work. The same browser window may support marketing research, a customer conversation or an unrelated activity; the application name alone cannot establish the purpose.
StafflyTracker supports department-specific classification of applications and website window titles. This worksheet helps managers decide what their classifications mean and how to maintain them. It is a review method, not a recommendation to apply the same rules to every department or to use an activity score as a performance verdict.
Start with the department’s responsibilities
Ask a team lead to list the work the department is expected to produce and the tools it uses. Include research, calls, training, internal communication and administrative work. A list containing only the main production application will omit legitimate parts of the day.
Choose a person responsible for maintaining the rule set. Give employees a way to identify a missing or misleading classification. A tool newly introduced by a client should not remain unexplained simply because the administrator has not seen it before. Keep the classification question separate from whether the employee was authorised to use that tool.
Build a decision register
Use the following fields in an approved internal worksheet. The example labels below express an operational decision; map them to the actual categories demonstrated in your StafflyTracker configuration rather than assuming the software uses these exact names.
| Field | Purpose |
|---|---|
| Department | Identifies the role context |
| App or title pattern | States the observed rule target |
| Intended use | Explains the work it supports |
| Classification decision | Records the chosen software category |
| Evidence | Describes the business reason, not private screen contents |
| Owner and review date | Keeps the rule maintained |
| Known ambiguity | Shows where a label cannot determine purpose |
Keep the rule target as specific as necessary but avoid a long list of guesses about every possible window title. A rule that is too broad can classify unrelated work as useful; a rule that is too narrow may miss legitimate variations. Test the actual examples your team encounters.
Work through ambiguous applications
A social platform may be part of a marketing role but not an ordinary billing task. A spreadsheet may support budgeting, quality review or an unrelated personal activity. A browser may contain all of those. Department context improves interpretation, but it does not turn a broad label into proof of what happened.
For ambiguous tools, ask what additional context is proportionate to the review question. A completed task reference or a short employee explanation may be more informative than a random screenshot. Do not collect a large amount of unrelated screen content merely to force every minute into a confident category.
Use a fictional test set
Prepare five examples before changing rules across a department: a core work tool, an approved communication tool, a research page, an unfamiliar tool and an application with mixed personal and work uses. Ask the supervisor and administrator to classify the examples independently, then discuss their differences.
| Example | Question to resolve |
|---|---|
| Core case-processing app | Does the rule identify the intended app reliably? |
| Team call software | Is the associated call part of the role’s work? |
| Reference website | Is the research relevant to an assigned task? |
| New client portal | Who confirms approval and classification? |
| General browser | Is the rule too broad to be meaningful? |
Use fictional titles where real titles could reveal customer or patient information. Test how the interface displays the result and whether the report clearly reflects the intended department. Record anything the demo cannot establish.
Review changes before comparing periods
If a rule changes halfway through a reporting period, a change in the reported category total may reflect the rule rather than a change in employee behaviour. Record the date, reason and scope of each significant revision. Ask whether changes apply only prospectively or also affect historical reporting in the current product.
Do not assume historical recalculation is available. Confirm the behaviour in a demonstration and note it alongside any comparison. If two periods used different definitions, state that limitation rather than presenting a precise improvement percentage that the evidence cannot support.
Separate classifications from outcomes
Review the actual output appropriate to the role: a resolved support case, a checked billing task or an approved campaign asset. Application time can help ask where effort went, but it does not establish accuracy or usefulness. Reading and calls may involve little input while still contributing to the work.
Keep this distinction visible in manager training. A label describes a rule applied to observed records. A performance discussion needs role expectations, outcomes and an opportunity to explain context. Use the time-tracking pilot plan to test whether supervisors can make that distinction consistently.
Maintain a small review routine
Review unfamiliar tools, employee correction requests and major workflow changes at an agreed interval. Retire obsolete rules rather than leaving a growing list that nobody can explain. Check that the authorised administrator understands who can approve a change and how it will be communicated.
Staffly owns StafflyTracker. Its official productivity feature page describes department rules, while the software overview explains the wider product. The desktop tracker is for supported Windows computers. Bring your fictional test set to a personal demonstration and verify the exact rules and reporting behaviour required by your team.