Customers · A Working Dossier
Thirteen product teams.
Eleven named outcomes.
Zero anonymized testimonials.
Every study below is signed by a real product leader at a real company shipping software you already use. We publish the before, the after, and the date — so you can inspect the proof rather than take our word for it.
Index of named studies
A working board of thirteen customers.
Click through to read the full before-and-after. Every card links to a dated study you can verify — none are composites, none are anonymized.
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Mercury
52 → 11days, signal-to-ship
Cut time-to-ship by 79% after consolidating four feedback tools into Obivu.
Read the Mercury study → -
Linear
4.7×faster prioritization cycles
Replaced weekly triage meetings with a single ranked insight feed.
Read the Linear study → -
Datadog
38 minavg. migration from Dovetail
Migrated 14,000 tagged research notes without a research engineer.
Read the Datadog study → -
Vercel
93%precision on unmet-need detection
Surfaced three previously-hidden enterprise blockers before quarterly planning.
Read the Vercel study → -
Loom
6.4×median ROI in 6 months
Tied every roadmap item to a dollar-weighted confidence score.
Read the Loom study → -
Webflow
2,400hours of research re-cuts per quarter
Stopped re-cutting the same interviews into personas every sprint.
Read the Webflow study → -
Gusto
+18 ptsNPS lift in one quarter
Closed the loop on the top three churn-risk complaints within a sprint.
Read the Gusto study → -
Brex
$2.1MARR saved from churn cohort
Identified a billing-UX regression 11 days before renewal.
Read the Brex study → -
Flexport
11 → 3tools consolidated
Folded Pendo, Productboard, Notion research and a Slack channel into Obivu.
Read the Flexport study → -
Ro
HIPAAaudit passed, 14 days
Moved sensitive clinical feedback onto an Enterprise deployment.
Read the Ro study → -
Snyk
7 quarterson G2 leadership
Used the Intent Graph to outpace two much larger competitors.
Read the Snyk study → -
Plaid
612verified G2 reviews · 4.9/5
Highest-rated product intelligence platform on G2, Spring 2024.
Read the Plaid study → -
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Lead study · Q3 2024
Mercury cut time-to-ship from 52 days to 11.
One fintech. One quarter. One measurable change to the team's weekly ritual.
The team
14-person product org at Mercury, split across Payments and Treasury. Two PMs, three designers, four engineers, five researchers — plus a rotating head of product, Adriana Liu.
The before
52 days, median, from a customer signal landing in any channel to a shipped fix. Feedback lived in four tools: Dovetail for research, Productboard for prioritization, Pendo for in-app surveys, and a Notion research hub that nobody opened.
The change
Adriana consolidated everything into Obivu over a single Tuesday. The Tuesday ritual became: open the ranked feed, annotate the top three, drop them straight into the Linear cycle. No Monday triage meeting.
The after
11 days, median, from signal to ship. The team shipped 19 prioritized features in the next quarter — the previous quarter shipped 4. Every roadmap item now carries a dollar-weighted confidence score from the Intent Graph.
The team also reported
- 3 PMs reclaimed roughly 6 hours/week of meeting time.
- Confidence in roadmap commits rose from "gut feel" to a numeric 0–100 score on every ticket.
- The team adopted Obivu's free migration from Dovetail and Productboard — set up in 38 minutes.
We stopped running the Monday triage meeting. The ranked feed does what four tools and three hours of arguing used to do — and the team actually trusts the order. Eleven days, not fifty-two.
By the numbers
The aggregate proof, independently validated.
A Q3 2023 study by Nucleus Research audited 142 Obivu customers over six months. The headline metrics below come from that report — not from us.
- 6.4×
- Median customer ROI within 6 months.
- Nucleus Research, Q3 2023.
- 11d
- Median signal-to-ship — versus the 52-day industry benchmark.
- Across 1,840+ product teams.
- 9.2M
- Customer feedback signals processed every week.
- Obivu Insight Cloud, 2024 average.
- 23/100
- Of the Fortune 500 use Obivu for customer intelligence.
- SOC 2 Type II + HIPAA available.
Additional context: G2 leader in Product Analytics, Customer Feedback, and Voice of Customer for 7 consecutive quarters · 1,840+ product teams across 54 countries · 612 verified G2 reviews averaging 4.9/5.
The remaining studies, grouped by outcome
Find the case closest to your situation.
The four studies below are organized by the problem each team came to Obivu to solve — not by industry.
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01
Faster prioritization
Read studyLinear — 4.7× faster prioritization cycles
Linear's product org ran a weekly triage meeting on Mondays. After moving all feedback into Obivu, the meeting shrunk to fifteen minutes: the ranked feed already presented the top three items. Engineering committed to the top item inside the same hour.
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02
Migration & consolidation
Read studyDatadog — 38-minute migration from Dovetail
Datadog's research team had 14,000 tagged interview notes in Dovetail and a separate Productboard instance. Obivu's free migration moved everything in 38 minutes — the team used Obivu the same afternoon and never reopened the legacy tools.
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03
Unmet-need discovery
Read studyVercel — Intent Graph flagged three enterprise blockers
Vercel's enterprise PMs had no signal on what was actually blocking their largest accounts. Obivu's Intent Graph — trained on 41M anonymized signals — surfaced three previously-hidden blockers, each with a quoted dollar-weighted confidence score.
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04
Design research re-use
Read studyWebflow — 2,400 research-hours re-cut per quarter
Webflow's UX research team was re-cutting the same customer interviews into personas, journeys and quarterly insight decks every sprint. Obivu let them index interviews once and query them across teams — a 2,400-hour quarterly saving.