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Using Rize Effectively

Recommended rollout

The best way to use Rize is simple: track in the background, review quickly, and teach the system

The teams that get the most value from Rize do not treat it like a timer app. They set up structure first, review suggestions daily for a short period, and let the system learn. This guide is optimized for agency team admins first, with notes for freelancers and solo operators where the workflow differs.

Set privacy, permissions, and tracking expectations up front
Create the clients, projects, tasks, and integrations the AI should use
Review time entries daily so Rize learns from corrections
Use dashboards, reports, and profitability once your data is clean
Set up your workspaceJump to profitability

The core workflow​

1

Install Rize and turn on the right tracking inputs

Install the desktop app, browser extension, and any calendar or task integrations you need. Good input data is the foundation for good suggestions.

2

Create your data model

Set up the clients, projects, tasks, and rules your team actually uses. If the structure is messy or incomplete, the AI has fewer good options to tag against.

3

Let Rize track work in the background

Rize captures active-window metadata, groups work into time entries, and proposes titles, descriptions, clients, projects, and tasks.

4

Review and correct time entries daily

Open the inbox, accept what is right, and fix what is not. Those corrections are the fastest way to improve future suggestions.

5

Use clean data for reporting and profitability

Once the tagging workflow is stable, dashboards, reports, billable settings, budgets, and profitability become much more useful and trustworthy.

AI confidence score in Rize
The newer AI workflow is built around transparent suggestions, confidence scores, and automation controls instead of a black-box tagging experience.

For agency and team admins​

1. Set expectations before inviting the team​

  • Explain that Rize tracks metadata only: app name, window title, URL, and timestamps.
  • Make it explicit that Rize does not take screenshots or record keystrokes.
  • Decide who will own workspace setup, billing settings, and integration management.

2. Configure the workspace before rollout​

  • Create the workspace and invite the right members.
  • Choose a billing strategy and set default rates or cost model.
  • Connect ClickUp, Linear, or Asana before asking people to rely on auto-tagging.
  • Add shared clients, projects, and tasks so the AI has real targets.

3. Prioritize tagging accuracy in the first week​

  • Review the inbox every day.
  • Add keywords and tracking rules when recurring patterns show up.
  • Use synced tasks from your task tracker instead of relying on free-text work where possible.
  • Adjust custom instructions and AI confidence settings once you have a feel for the current quality.

4. Move into admin reporting​

  • Review client, project, and member-level data.
  • Set budgets, billable rules, and profitability inputs.
  • Build dashboard views for utilization, pending time, client health, and workload allocation.

For freelancers and solo operators​

  • Create clients and projects early, even if the list is short.
  • Use tracking rules and keywords to help Rize distinguish overlapping work.
  • Review the inbox daily until suggestions become dependable.
  • Use reports and exports to make invoicing easier without rebuilding your week from memory.

What “good setup” looks like​

Accuracy is improving each day

Suggestions increasingly arrive with the right client, project, and task because your rules, task sync, and corrections are reinforcing each other.

Reports are usable without cleanup

Team admins can trust dashboards, profitability views, budgets, and exports because time is landing in the right place consistently.

Review is quick, not painful

People are spending a few minutes reviewing instead of reconstructing hours of work from memory or filling in manual timesheets at the end of the week.

Adoption stays high

Team members understand the privacy model and see Rize as a helpful automation tool rather than a monitoring tool.

The highest leverage habit

If your goal is better auto-tagging, the most important habit is to review and correct suggestions quickly. Rize gets better when the feedback loop is tight.

Best next steps​