Reading Assembly Results

Once an assembly has run, its results tell you what was decided and how. Reading them correctly means knowing which number answers which question. This article walks through what you see.

Per-item outcomes

Results are organised by agenda item. For each item you'll see the breakdown of how the voting power was distributed — for a resolution, the for, against, and abstain totals; for an election or poll, the totals across candidates or options — and whether the item met its threshold. Because company tallies are weighted, these totals are sums of voting rights, not headcounts. See How Votes Are Counted.

Turnout per item

Each item also shows turnout — how much of the voting power actually participated on that item. Turnout is a participation figure, distinct from the meeting's overall quorum, and it can differ from one item to the next (not everyone votes on everything). See Per-Item Turnout vs Quorum.

Quorum at a glance

Alongside the items, the results reflect whether the meeting was quorate — whether enough of the share capital (or members) was represented to make the decisions binding, against the threshold you set. Quorum is measured against the basis fixed at go-live. See Understanding Quorum.

Two numbers, two questions

It's worth repeating the distinction, because it's the thing most people misread:

• Quorum is about capital — was enough of the organisation represented?
• The tally is about voting rights — did the motion pass?

In an A/B-share company these can move independently, so always check which number you're reading.

From results to evidence

The results you see on screen are a view of the same underlying record that produces the evidence package — the self-contained, verifiable document of attendance, quorum, votes, and outcomes. If you need a formal artefact for an auditor, a regulator, or your minutes, that's where to go. See The Evidence Package Explained.

Where to go next

See The Evidence Package Explained for the formal record and How Vote Integrity Is Protected for why the result can be trusted.