Once your coaches are live, Coach Analytics shows how they're being used — how many coach runs are happening, who's using them, and the value they're driving. Use it to track adoption, spot your power users, and see which teams or individuals would benefit from more enablement.
You'll find it under Analytics > Coach Usage.
Two ways to view usage
Coach analytics has two tabs, so you can look at adoption from either angle:
View | Answers |
Account View | How are coaches being used across my accounts? Which accounts have the most coach activity, and how does that relate to pipeline? |
Seller View | How are coaches being used by my people? Who are my power users, and who is using coaches less? |
Headline Metrics
Each view shows summary cards at the top:
Card | Shown in | What it tells you |
Total Coach Runs | Account View | The total number of times a coach was run in the selected period. |
Total Active Users | Seller View | How many people ran at least one coach in the selected period. |
Hours Saved | Both | Estimated time saved by running a coach rather than completing the work manually. |
Total Cost Savings | Both | The estimated financial value of that time saved. |
Top Coach | Account View | The most-run coach in the period. |
Top Seller | Seller View | The person who has run the most coaches. |
Account View
Account View focuses on usage across your accounts.
Coach runs by coach — a chart showing how many times each coach was run over the selected period. Useful for seeing which coaches your team relies on most and how usage trends over time.
Account table — a row per account with:
Propensity to buy — Databook's score indicating how likely the account is to buy. [Confirm the score's scale and rating bands, e.g. the colored indicators.]
Total coach runs — how many times coaches have been run for that account (expand the row for a breakdown).
Hours saved and Cost savings — the estimated value generated for that account.
Open pipeline — the open pipeline value associated with the account. [Confirm the source of this figure.]
Sorting the table by total coach runs next to propensity to buy and open pipeline helps you see whether your highest-value accounts are getting the coaching support they should.
Seller View
Seller View focuses on usage by individual team members.
Coach runs by user — a chart showing how many times each person has run a coach, broken down by coach. This makes power users and low-usage individuals easy to spot at a glance.
User table — a row per person with Total coach runs (expand for a breakdown), Hours saved, and Cost savings.
Filtering the Data
Open Filters to focus on a specific slice of usage. You can filter and sort by:
Filter | What it does |
Sort runs | Changes the order of the results. [Confirm the available sort options.] |
Team | Limits the view to a selected team. |
Users | Searches for and filters to specific people. |
Time segment | Sets the period shown (for example Last 12 months). |
Coaches | Limits the view to selected coaches. |
Once you've chosen your filters, select Apply — or Clear to reset them.
What you can do with it
Track adoption — see how many coach runs are happening and whether usage is growing over time.
Find your power users — identify the people getting the most value, so you can learn from and recognize them.
Target enablement — spot teams or individuals with low usage who may need more support to get started.
See what resonates — understand which coaches your team uses most, to guide what you build or customize next.
Connect usage to value — in Account View, weigh coach usage against propensity to buy and open pipeline to focus effort where it matters most.