VERY VINCI.·Selected work
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SaaS · Product analytics
Facet

Analytics a whole team reads. Not just the data lead.

A product-analytics platform built for the people who need the answer, not the query language. Funnels, retention and segments that a PM can build and a CEO can read.

Scope
Product design · data visualization
Surfaces
Dashboard · funnels · retention · segments
Year
2026
Sector
B2B SaaS · analytics
Activation overview·Loop web
7d30d90d
Active users
48,210
▲ 6.4%
Activation rate
62.8%
▲ 3.1 pts
D30 retention
41.2%
▼ 1.4 pts
Avg. session
7m 12s
flat
Activation trendsignups → activated
ActivatedSignups
W1W2W3W4Now
Top activation pathsby source
Invited by teammate82%
Onboarding checklist64%
Imported data51%
Created first report38%
Self-serve signup24%
Weekly activeby plan
Free
Pro
Team
Ent
The problem
Analytics one person can read

Most analytics tools are built for the analyst. Everyone else waits in a queue for someone who knows the query language to pull a number, and by the time it arrives the decision is already made.

The data isn't the problem. Access to an answer is.

The approach

I designed the three questions product teams actually ask as first-class objects: is this feature working (funnels), are people coming back (retention), and who are they (segments). Each one is something a PM builds by clicking, not by writing SQL.

The hard part was density with restraint. A retention grid or a funnel throws a lot of numbers at you, so the job was to make the shape of the answer obvious before the detail.

The outcome

A tool the whole team opens, not just the data lead. Funnels, retention and segments that read at a glance and share as a link.

On a fictional rollout, report requests to the data team dropped by half in the first month, and non-technical seats tripled.

02
Funnels, built by clickingdrop in steps, read the drop-off, no query language
Onboarding funnel
30d90d
Steps
1Signed up✎
2Created project✎
3Invited teammate✎
4Built first report✎
+ Add step
Filter
plan is Pro or Team✎
Signup → first reportconv. 38.4%
Signed up12,480 · 100%
12,480
Created project9,110 · 73%
9,110
−27%
Invited teammate6,240 · 50%
6,240
−31%
Built first report4,792 · 38%
4,792
−23%
03
Retention you can seeweekly cohorts, colour showing who comes back
Weekly retention·by signup cohort
WeeklyMonthly
CohortUsersW0W1W2W3W4W5W6
Jun 23,120
100
62
48
41
37
34
32
Jun 92,980
100
64
51
44
39
36
—
Jun 163,420
100
66
54
47
42
——
Jun 233,610
100
70
58
50
———
Jun 303,880
100
72
60
————
Jul 74,010
100
74
—————
LowerHigher · % returning
04
Segments in plain languagebuild an audience with conditions, not SQL
New segment

Power users at risk

People who were active but are slipping: a save-the-account list.

Did ▾created reportat least ▾5 timesin ▾last 60 days
AND
Did not ▾open appin ▾last 14 days
AND
Plan ▾is Pro or Team
1,284
users match
€38k
MRR at risk
The answer, surfacedan insight raised over the dashboard it came from
Active users
48,210
▲ 6.4%
Activation
62.8%
▲ 3.1
D30 retention
41.2%
▼ 1.4
Avg. session
7m 12s
flat
Activation trendsignups → activated
Insight

Users who invite a teammate in week one retain 2.3× better at D30. Only 34% get there.

Segmentinvited in W1
D30 retention68%
Everyone else29%
Case study 03 of a series.
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