Data room analytics

Read the deal through the room.

See engagement across every recipient and every document in one view, so you know which relationships have momentum and which ones have gone quiet before it is too late to act.

Distinct recipient signals form one room-level field of attention
01 — Room-level overview

Twenty recipients. One legible view of momentum.

Every visitor stays distinct while sessions, content attention, engagement score and recent activity roll up into one room-level view.

Data Room · AnalyticsLast 30 days
Series A roomRecipients ranked by engagement and recent activity
20Visitors84 opens
63Sessions4 access requests
4h 38mTotal time3 questions
17Downloads6 NDAs

Room heatmap

Share of attention by section

Active time

01Company overview
02Financial model
03Market & traction
04Legal & diligence

Visitors

Ranked by score, then recent activity

30-day score

VisitorScoreVisitsTime
MCMaya ChenNorthshore Ventures91842m
JLJonas LeeArc Partners84635m
SRSofia RossiLantern Capital78529m
AKAlex KimHarbor Fund46211m
02 — Beyond a file log

A file log reports what happened last week. The room shows who's engaged right now.

A total count flattens different people into one number. RoundOS preserves the recipient, session, material and recency behind the signal.

01

Room-level overview

See activity across the entire room without opening every document report.

02

Cross-recipient comparison

Rank recipients by engagement so the relationships with momentum rise first.

03

Material engagement

See which sections and documents held attention across the room.

04

Forwarding and recency

See when forwarding is suspected and when a previously active relationship cools.

03 — A real deal

Twenty investors. Three worth calling today.

The room-level view surfaces the recipients who returned, spent time in the model and engaged recently, without making the founder compare twenty separate logs.

Room-level cut3 / 20

Three relationships combine recent return visits, depth and time in the model.

Twenty recipient traces narrow into three relationships with current momentum
04 — From signal to action

The room sees attention. The Operator decides what to do next.

A return visit, renewed attention on the model, or a recipient going quiet does not stay inside an analytics screen. The Operator reads Data Room signals alongside the rest of the round, ranks the next move, and prepares the follow-up.

Multiple room signals converge into one ranked Operator action
05 — Compared

RoundOS versus a log and a total count.

Room analytics preserves the relationship behind every event, then gives that context somewhere to go.

QuestionFile log / total countRoundOS
Who has momentum?Hidden inside the totalRecipients ranked separately
What held attention?One event or aggregateSections and materials compared
What happens next?You interpret the log yourselfThe signal becomes a ranked Operator action
06 — FAQ

Questions worth answering.

01How is engagement scoring calculated?

The 30-day score combines content depth, active time, completion, return intent, explicit intent and recency. It is a comparative score from 0 to 100, not a conversion rate.

02Can I compare different document types?

Yes. Material-level engagement shows attention across every document in the room, whether it is a deck, a model, or a diligence file.

03Does room analytics replace document analytics?

No. The room-level view sits above recipient and material detail, so you can move from the deal-wide picture into the underlying activity.

04Can I see when a recipient goes quiet?

Yes. Engagement score and last activity make the change visible, and the Operator can use that signal with the rest of the relationship context when it ranks the next follow-up.

Room-level evidence resolves into one clear next action
The room, made legible

See the whole deal: every recipient, every document, one view.

Every recipient, every session and every material: one room-level view built to lead somewhere.

No credit card. Live in minutes.