Quick Start Guide

Five things to do in your first 30 minutes. Tick them off in order and you'll have meaningful numbers on your Dashboard within the first week.

Your 30-day trial starts the moment you sign up. No credit card required. You can pause, extend, or subscribe at any point from Settings → Subscription.

1 · Add the AI tools you pay for

Go to AI Tools → + Add Tool. For each tool your organisation pays for, capture:

  • Name (e.g. ChatGPT, Claude, GitHub Copilot)
  • Vendor (e.g. OpenAI, Anthropic, GitHub) — type the first few letters and pick from the catalogue; we'll fill in the domain and logo automatically
  • Website(s) — the domains the tool lives at, comma-separated. The Chrome extension uses these to know when to show a pulse.
  • Cost per seat per month — what you pay each user, each month. This is the single most valuable number you'll capture, because it drives every ROI calculation. (Don't worry if you don't know the exact figure — a reasonable estimate is fine. You can update it any time.)

You can also add tools that aren't browser-based (e.g. desktop apps) — just untick "Browser-based tool". Pulses for those tools work differently; for now we'll focus on browser tools.

2 · Set your blended hourly rate

Go to Settings → Organization → Reporting & ROI.

This is the average labour cost per hour for your team — the number we multiply hours-saved by to produce a dollar value. It should reflect fully-loaded labour cost (salary + on-costs + overheads), not just take-home pay.

If you skip this, hours-saved will still be tracked, but dollar-value ROI will show as "—" everywhere. We won't guess this number for you because the right figure varies wildly by industry and seniority.

3 · Add your people

Go to Users → + Invite Users. Add them one at a time or in bulk via CSV.

For each user, choose a role:

  • Owner — full access including billing
  • Admin — full access except billing
  • Group Leader — sees data for their groups only
  • Member — only sees their own data

Most of your team will be Members. See User roles explained for the detail.

4 · Group people by team

Go to Groups → + Add Group. Create one group per team or business unit (e.g. Engineering, Marketing, Customer Success).

Groups do two things for you:

  • They let you compare ROI across teams in Reports
  • They make tool assignment quick — assign a whole group to a tool in one click

5 · Roll out the Chrome extension

This is the bit that makes everything else work. The extension is what shows pulses to your team while they're using AI tools.

The simplest path is to email your team a link to the Chrome Web Store and ask them to install it. For larger orgs we recommend pushing it through Google Workspace or your MDM. See Rolling out the extension to your team for templates and IT considerations.

What happens next — no pulse config needed

As soon as a user installs the extension and visits a tool you've added, the three core pulses start firing automatically:

  • The AI Pulse — 3× per week, in the moment (drives hours saved + ROI)
  • The AI Review — fortnightly, reflective (drives NPS + quality + wishes)
  • The AI Capability Check — monthly, forward-looking (drives confidence + training needs)

You don't configure anything. The defaults are calibrated so no user gets surveyed more than once a couple of days on average. Full detail on the three pulses →

Timeline to meaningful signal

  • Day 1 — Extension installed, tools added, users invited. Dashboard is empty but wired up.
  • Week 1 — First pulses start landing. Dashboard gauges show early signal, still noisy.
  • Week 2-4 — Data volume builds. Health-score bands settle. Insights panel starts surfacing patterns.
  • Month 2+ — Period-over-period comparisons become credible. NPS from the AI Review builds up. Capability Check shows confidence trending.

If after a week you don't see much data, check Why is my response rate low? — usually it's an extension rollout issue.

What you'll see on your Dashboard

The Dashboard shows you four headline gauges (ROI, Hours saved, Active users, Satisfaction), each normalised to a 0-100 health score with plain-English labels (Needs attention / Okay / Strong / Excellent). Below that, per-pulse panels break the same four numbers down by pulse. See Reading your dashboard for the full tour.


Related: Welcome to The GAiGE · The three core pulses explained · Adding an AI tool · Setting tool costs and why it matters · Setting your blended hourly rate · User roles explained

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