A decision log for Microsoft Teams channels — not your meetings

Most "decisions for Teams" tools mean meeting minutes. SignalOps means your channels: it reads the written conversation in Teams and keeps every decision automatically, with a link back to the message — and joins it to the work in your tracker.

Also reads Slack, Discord, Linear, Jira, Asana and ClickUp.

Channels, not meeting minutes

The decisions that shape a week are made in Teams channels between meetings, in writing. Those are the ones that disappear. SignalOps reads them and keeps them — no recording, no bot in the call, no one asked to take minutes.

It works the same way across Slack and Discord, so a team split across tools gets one decision log, not three.

One evidence base, from two kinds of source

This is what makes SignalOps different. The AI you already pay for is stuck in one room: Slack AI only sees Slack, your tracker only sees tickets. SignalOps reads both your conversation and your work tracker, and — crucially — joins them. The decision argued out in a Slack thread and the Linear issue it concerns become one connected story, not two disconnected fragments.

CONVERSATIONSlackMicrosoft TeamsDiscordWORK TRACKERSLinear · JiraAsana · ClickUpSignalOpsdedup · link · correlateDecisionsAction itemsRisksOpen questions

Joined, not just collected

Deduplicated across sources

The same issue raised in a Slack thread and filed in Jira collapses into one signal — you see the problem once, with both sources attached, not twice.

Message linked to ticket

SignalOps knows that this conversation is about that Linear issue, and links them deterministically. The context and the work item travel together.

Correlated into groups

Related signals across channels and projects are correlated and grouped, so a problem that shows up in three places reads as one thing, not three.

Real delivery metrics

Connect a tracker and the delivery lens uses actual cycle-time — how long work really took — instead of a guess.

Eight ways to read the same evidence

Signals are the raw material. The real value is what SignalOps does with a whole period of them. Point any of these eight analytical lenses at your last week, sprint or quarter — each answers a different leadership question, each cites the exact signals it is built on, and each runs on a schedule so you are told, not left to ask.

Signals trend

openedresolved

Cycle-time

p50 · last 8 weeks

6.2days1.4

Backlog by type

open signals

Decisions12
Action items15
Risks8
Open questions6
1

Org Health

A short executive read across everything that happened.

What it answers
What is the one thing that most deserves my attention right now, and what is quietly going wrong underneath?
Why it matters
The founder or lead who cannot hold five channels and three projects in their head gets the single most important thing surfaced first, not buried.
2

Delivery Flow

Where work is getting stuck, and who or what is the bottleneck.

What it answers
What is blocking us, where is work piling up, and how long are things actually taking?
Why it matters
With a tracker connected, this uses real cycle-time — not a feeling about which project is slow, but the evidence of it.
3

Risk Register

The real threats separated from routine standup noise.

What it answers
Which risks actually matter this period, and why — as opposed to everything anyone flagged?
Why it matters
A risk register nobody has to keep by hand. It is built from what was said, ranked by recurrence and severity, and never depends on someone remembering to log it.
4

Decisions & Alignment

What was decided, what is stuck, and whether the team is pulling one way.

What it answers
What did we decide, what is waiting on someone, what keeps getting re-opened, and are we scattering?
Why it matters
Decisions that re-open every few weeks are the most expensive kind. This shows them, with the thread each one came from.
5

Client & Stakeholder Health

Which external dependencies and client launches are blocked.

What it answers
Who outside the team are we waiting on, and which client is most at risk this period?
Why it matters
For studios and agencies, the launch that slips is usually blocked on someone outside the team. This finds those before the client does.
6

Early Warning

Leading indicators — what is heating up before it becomes a fire.

What it answers
What is escalating, recurring, or aging into a problem I have not been told about yet?
Why it matters
The point of leading indicators is time. This buys it, by naming the issue rising on 14 of the last 20 days while it is still small.
7

Quality & Rework

The recurrence radar — what keeps coming back after it was "handled".

What it answers
What are we silently redoing, and which problems did we think we fixed but did not?
Why it matters
Rework is invisible in a status update and obvious over a quarter of signals. This is the report a daily summary structurally cannot produce.
8

Momentum & What-Changed

This period versus last — better or worse, and specifically what moved.

What it answers
Compared to last time, what is new, what resolved, and what is still dragging?
Why it matters
The question a founder actually holds reading serially. It answers it with specifics, not a vibe.
9

Recurrence Radar (chronic issues)

A standalone view of issues that will not go away.

What it answers
What has been raised again and again — how many times, and across how many days?
Why it matters
The same risk raised on 14 of the last 20 days, with occurrence counts and provenance. No summary tool, in Slack or Teams or a tracker, can see this — because none of them holds the whole period the way SignalOps does.

Keep the decisions your Teams channels make

Connect Microsoft Teams and see last week's decisions, kept automatically.