The smallest unit of evidence in Squad. One claim, quoted verbatim, with a link back to where it came from.
A data signal is one claim, pulled verbatim out of something a customer or a system said. A line
from a Slack thread. A sentence in an app store review. A complaint in a sales call. Everything
above it (clusters, insights, briefs) traces back to a set of signals.
The providers you can connect today are Slack, GitHub, Linear, Jira, Notion, PostHog, Gong, and
Fellow, plus four review sources (App Store, Google Play, Google Reviews, and Trustpilot).
Agents
An agent pointed at a URL reads the page on its schedule and writes signals from what changed. A
research run produces them too, at a lower weight.
Documents
Files you upload and knowledge documents in the workspace get read for signals the same way an
integration payload does.
If a tool is not on the Integrations page, nothing from it reaches your workspace.
How much a signal counts depends on what kind of source produced it and how deliberately it was
captured.
Source type sets the base weight
An integration signal is 1.0, the baseline everything else is discounted against.
Source type
Base weight
Integration
1.0
Scraped from a URL
0.8
Read out of a document
0.7
Turned up by an agent during research
0.6
Capture intent multiplies that base
Something a product owner captured on purpose counts double. An agent’s unprompted find counts
least.
Captured by
Multiplier
A product owner, on purpose
2.0
Another workspace member
1.5
An integration you subscribed to
1.0
An agent’s research
0.5
An agent, discovered unprompted
0.3
The two multiply together with the signal’s own strength. That combined weight decides how much the
signal pulls its cluster’s centre of gravity and how much it contributes to an insight’s score.
Strength also decays with age, so a complaint from two years ago pulls less than the same complaint
from last week.One thing a customer told you in a call, captured by you, outweighs a dozen passively scraped
mentions.
Open Insights in the sidebar and pick the Data Signals tab. One row per signal, showing the
SI- reference and summary, the source badge, whether it belongs to a cluster, its sentiment, and
the capture date.Search with Search data signals or SI-… to match on text or reference. The filter toolbar
narrows by Source, Cluster (has one or does not), Sentiment, Date, Type, and
Strength. Strength offers presets at 0.2, 0.4, 0.6, and 0.8, and filters at or above the value
you pick. Sorting and filters are held in the URL, so a filtered view can be bookmarked or pasted
to a colleague.Right-click any row for Open, Copy ID, Copy URL, Copy content as JSON, and
Delete. Click the row to open the signal.
The detail page leads with the summary as its heading and the verbatim quote below it, so you read
the customer’s words before Squad’s version of them. When the source has a link, the quote card
carries it.Cluster. The theme this signal was grouped into, with the cluster’s type and member count.
Click through to see the rest of the group.Related data signals. Other signals close to this one. The first three show as quote cards. If
there are more, View all opens the full table.Info. Source, sentiment, type, strength, and capture date, in the right-hand panel.Insights. The insights this signal helped produce. A signal that landed recently, or one in a
cluster too small to synthesise, shows nothing here yet.Referenced by. Any brief or knowledge document whose body cites this signal.
Check whether a complaint is isolated or a pattern. Open the signal, look at the Cluster
card. A cluster with 2 members and a Pending label means Squad hasn’t seen enough of this yet. A
cluster with 30 members and a confident theme label means it’s a pattern, and the Insights panel
tells you whether it’s already been written up.Audit what a source is actually producing. On the Data Signals tab, filter Source to one
provider and sort by Date. A connected tool producing nothing, or producing noise, shows up
straight away. Fix it from Integrations.Find your strongest recent evidence. Filter Strength to the 0.6 preset and Date to the
last month, then sort by strength descending. That’s the evidence worth quoting in a review.
