Treadstone Associates
Article · Practice metrics

What should a partner dashboard show?

Five or six numbers a partner can act on this month, each with its definition printed on the page. Most dashboards fail because they show what the software exports, not what the partnership manages.

Treadstone Associates · Updated 2026

Key takeaways

  • • Build from the decisions partners make — hire, decline, chase, reprice, invest — and put on the page only what changes one of them.
  • • Four questions: are we winning work, can we deliver it, are we getting paid, are we compliant. Lock-up (WIP plus debtors, in days) is the single most useful number.
  • • The compliance strip is real: the two-year AML effectiveness review, open PIPEDA breach records, retention dates, and the CASL consents you could not prove.
  • • AI writes the queries, joins the systems and drafts the commentary. It must not compute a number nobody can define, and it must not decide.

The short answer

Five or six numbers a partner can act on this month, each with a definition printed on the page and a named owner. Most partner dashboards fail for the same reason: they show what the software exports rather than what the partnership has decided to manage, and a tile nobody would act on is a tile that trains people to stop looking.

The discipline is subtractive. Start from the decisions the partners actually make — hire, decline, chase, reprice, invest — and put on the page only what changes one of those.

Four questions, and the tiles that answer them

Are we winning work? New engagements accepted this month and the value committed; proposals outstanding and their age. Not “leads” — a lead is not a decision.

Can we deliver it? Committed hours against available review capacity for the next eight weeks, and jobs by stage with days-in-stage. The second is the early-warning tile: work that has not moved is the cheapest problem you will ever find.

Are we getting paid? Unbilled work in progress and its age, debtor days, and write-offs taken this month. Lock-up — WIP plus debtors expressed in days — is the single most useful number a professional firm can put on a page, because it converts two arguments into one.

Are we compliant? This is the section most dashboards omit and the one with the clearest external consequences. It should be short, and every tile on it should be an obligation rather than an aspiration.

The compliance tiles that are real obligations

  • • Date of the last AML effectiveness review. If your firm carries out the activities in section 47 of the PCMLTF Regulations, FINTRAC requires a documented plan for a review of the compliance program’s effectiveness, carried out at least every two years, alongside a current risk assessment and training plan.
  • • Open privacy breach records. Section 10.3 of PIPEDA requires a record of every breach, and the regulations set 24-month retention. A count of open records with an owner is a two-minute tile.
  • • Records approaching disposal. Subsection 230(4) of the Income Tax Act sets a six-year floor for the firm’s own books; in Ontario the ESA requires three years for employee hours and pay records.
  • • Marketing consent status. Under section 13 of CASL the onus of proving consent is yours, so the count of addresses on the sending list with no provable basis belongs on a partner’s page, not in a marketing folder.

Six design rules

  • • Definitions on the page. Every ratio carries its denominator in small type. This one rule eliminates most dashboard arguments.
  • • One owner per tile. A number with no owner is a number nobody will explain when it moves.
  • • A staleness stamp. “As at” on each tile, sourced from the system rather than typed. Stale data presented confidently is worse than no data.
  • • Direction, not just level. The change since last period matters more than the value for almost every operational number.
  • • No tile you would not act on. If the honest answer to “what would we do differently” is nothing, delete it.
  • • No benchmark you cannot source. Compare against your own prior periods. An industry average nobody can cite is a decoration that will eventually be quoted as fact.

What AI does, and what it must not

It writes the queries, joins the systems, and reconciles the versions — the plumbing that stops most dashboards being built at all. It drafts the commentary: a short paragraph on why lock-up moved, which a partner corrects before circulation. It flags anomalies against the firm’s own history, which is a far better use of a model than forecasting. And it can answer follow-up questions against the underlying data so a partner is not waiting a week for a variant of the same report.

Karbon’s reporting and analysis describes pre-built dashboards covering outstanding jobs, team capacity, realisation and client profitability, with export to a business intelligence tool; that is representative of what practice platforms now ship. The constraint is never the visualisation layer.

What it must not do is compute a number nobody can define, or make the decision. A dashboard that recommends releasing a client, declining a job or not hiring has crossed from reporting into deciding, and the partnership — not the model — carries that. Where a number touches a professional obligation, a licensed person confirms it before it is relied on.

Worked example (illustrative)

A five-partner Ontario firm replaces a fourteen-tab monthly pack with one page. The page carries eight tiles: engagements accepted; proposals outstanding by age; committed versus available review hours for eight weeks; jobs with no movement in fourteen days; WIP days; debtor days; write-offs this month; and a four-item compliance strip showing the date of the last AML effectiveness review, open breach records, records due for disposal, and unproven marketing consents.

Two things happen in the first quarter. The jobs-with-no-movement tile turns out to be the most valuable on the page, because it surfaces files stalled on a client query that nobody had escalated. And the compliance strip catches an effectiveness review that had slipped past its date — found by a tile that took an afternoon to build.

The fourteen-tab pack is not deleted. It becomes the drill-down nobody opens unless a tile moves, which is the correct fate for a detailed report.

Where this sits in the firm

This is partnership reporting on a firm delivering to a book of clients. The inputs come from utilisation and realisation reporting, client profitability and the busy-season forecast. Automating the firm’s own close so the numbers arrive on time is a different job, covered on the accounting automation page.

Questions we get asked

Should staff see it?
Share the operational tiles widely and the partnership economics narrowly. A capacity tile everyone can see changes behaviour; a profitability tile everyone can see changes conversations you may not want to have that way.

How often should it refresh?
Monthly for the page, weekly for the delivery tiles. Daily refresh on a partner dashboard produces noise and a habit of ignoring it.

What if two systems disagree?
Name one as the source of truth per number, print which one on the tile, and treat the discrepancy as a work item rather than resolving it silently in a query.

Should it show partner-level profitability?
Only if the partnership has agreed what that means and how it is used. Publishing it into an undecided partnership is a reporting decision that becomes a governance argument.

Design a one-page monthly your partners will actually read.

A 30-minute call is enough to tell you whether AI pays for itself here.