Home / Compare / 20xwork vs AI adoption dashboards
Adoption dashboards count who used what and stop at team totals. We look at the work itself, say whether it was done well, and measure the change for each employee.
Side by side
AI adoption and measurement platforms (Larridin, Worklytics, Parable) connect to work tools through APIs, a browser extension or a desktop agent, and report adoption, fluency and hours by team. They read metadata by design and roll up to the team by default.
“Not shown” means we found no public statement either way. Every claim about the other side links to its source at the bottom of this page, with the date we read it.
| Capability | 20xwork | Adoption dashboards |
|---|---|---|
| How it sees the work | ||
| Connects to your tools | ✓ Yes | ✓ YesWorklytics 25+ connections; Parable connections; Larridin an extension and a desktop app |
| Looks at the work itself, not just usageThe next step written, the invoice posted | ✓ YesWe keep summaries, never documents | – Usage onlyLarridin: no content; Worklytics: anonymised; Parable: content is opt-in |
| Any screenshots or keystrokes | ✓ Never | ✓ NeverLarridin: no screenshots, no keystrokes |
| What you get | ||
| Tells you whether the work was done well | ✓ Yes | – CannotUsage data does not show the work |
| Shows each employee their own results | ✓ Yes, first | – Team totals by defaultLarridin: individual views off by default |
| Suggestions written automaticallyNo analyst, no interviews | ✓ Yes | · A ranked list for the leaderFrom usage data |
| A suggestion to the person, in their tool | ✓ Yes | – Reports go to leadersLarridin: this week’s top action, for the leader |
| Automates on the AI you already own | ✓ Yes | · Larridin Router and agent readinessEngineering only |
| Measures the return with a control group | ✓ Yes | · ROI from observed hoursNo control group shown |
| Buying it | ||
| Time to a first number | ✓ Four weeks | ✓ Days to weeks |
| Pricing | · Per seat | · Larridin from $25,000 a yearOthers not published |
Where we go further
Usage data tells you who used what. It cannot tell you whether the work was done well, so it cannot tell one person what to change.
Team totals are a privacy stance we respect. We take the other one: each employee sees their own results first, with the evidence.
A dashboard reports on last month. A suggestion changes what happens on Tuesday.
Sources
One team, one data export, a number in four weeks.
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