Case Studies
Featureverse

$2M+revenueimpact.30%salesgrowth.Decisionsin48h.

Revenue Impact

$2M+

in a single quarter

Better experiment selection — driven by shared competitive context — unlocked revenue the team was already positioned to capture.

Sport Gaming & Media platform · India
Sales Pipeline Growth

+30%

in first quarter

When clients can open, review, and comment on a prototype without a Figma login, demo cycles shrink from weeks to days.

getbreakout.ai
Experiment Output

Experiments per quarter

Up from 20 per year. Every experiment had leadership conviction before it entered the engineering queue.

Decision Speed

48h

Idea to aligned decision

Leadership alignment used to take 3 weeks of back-and-forth. One shared prototype link changed that.

Experiment Quality

Fewer revision cycles

Three teams on one link. Version history visible to everyone. No more approving prototypes that had already changed.

14 Figma files consolidated to one. A 4-month modernization shipped in 6 weeks — not because goals changed, but because everyone finally saw the same artifact.

Digital News Platform · India

Featureverse gives product teams the operating layer to move from competitor insight to aligned experiment — faster, with more conviction, and with measurable impact on the bottom line.

Chapter 01 — The Intake

Before we prescribed anything, we mapped everything.

Riklr Decision Core is a full-system diagnostic. We sat with every stakeholder — PMs, leads, engineering, leadership — and mapped exactly where product context lived, where it broke, and where decisions stalled. The same pattern appeared in every engagement.

Leadership never in context

Reviews scattered in Slack

Prototypes nobody can find

Feedback loops drag for weeks

Competitor intel buried in docs

Riklr

Decision Core

Full-system diagnostic

The solution

Featureverse

One shared operating layer

Chapter 02 — The Featureverse Engagements

Decision Core diagnosed. Featureverse delivered.

In each engagement below, Riklr Decision Core ran the diagnostic and prescribed Featureverse as the operating layer. Here is what happened.

Case 01 — Large Sport Gaming & Media platform · India

Prescribed productFeatureverse

Before Decision Core

6 product pods, 0 shared contextCompetitor intel in Slack screenshotsLeadership sees week-old summariesWrong experiments shipping
Riklr Decision Core mapped 6 disconnected product pods and found the same gap in all of them: no shared surface between competitive signal and prototype decisions. $2M+ revenue impact after Featureverse closed that gap.

$2M+

revenue impact

experiments per quarter

48h

idea to leadership review

When Riklr Decision Core engaged with this platform, the ask was straightforward — help them move faster. The diagnostic found something more precise. Six PM pods, each running independent workstreams, each capturing competitive intelligence in a different tool: screenshots saved to Slack, Notion docs last updated by whoever attended the meeting, spreadsheets owned by individual PMs. None of it connected to the prototype being reviewed by leadership.

The bottleneck was selection, not execution. Leadership was approving experiments based on summaries written before the prototype had changed. By the time a feature entered the engineering queue, the competitive window it was built to capture had already closed. Experiments shipped — but the wrong ones. Revenue was being left on the table not because the team was slow, but because conviction was built on stale inputs.

Featureverse entered as the operating layer between competitive signal and experiment launch. One link per prototype. Comments, version history, and screen states in one place. Leadership stopped receiving summaries — they saw the artifact in real time. Weak bets got killed earlier. Stronger experiments moved faster. Revenue impact reached $2M+ in the following quarter.

We had no shortage of ideas. We had a shortage of conviction. Decision Core showed us exactly where context was dying — in the gap between the prototype and the people who approved it. Featureverse closed that gap. The revenue followed.

VP Product

Sport Gaming & Media platform · India

Case 02 — AI Design Studio · getbreakout.ai

Prescribed productFeatureverse

Before Decision Core

Figma links clients couldn't openDemo feedback via email, 3 wks late4 client pitches per monthDeals stalling post-demo
Client demo cycles collapsed from 3 weeks to 4 days. Featureverse gave clients a browser link instead of a Figma password. Sales pipeline grew 30% in the first quarter without changing the sales motion.

sales pipeline growth

4 days

demo cycle (was 3 weeks)

4→11

client pitches per month

When Riklr Decision Core engaged with the team at getbreakout.ai, the surface problem was clear: deals were stalling. Clients who had been engaged during a live demo couldn't find the prototype afterward. Feedback arrived by email three weeks later, long after the team had moved on. The pipeline was full. The close rate was not.

The diagnostic traced the bottleneck to the prototype handoff. Every prototype lived behind a Figma login clients didn't have, on links that expired, in files only designers could navigate. Getting a client to review anything required scheduling a call, sharing screens, and manually converting verbal reactions into notes. Context died at every handoff. Sales cycles stretched because the artifact couldn't travel without a designer attached to it.

Decision Core's prescription was Featureverse. Web prototypes shareable in a browser — no account, no Figma, no expiry. One link per client per version, with comments on the artifact visible to the whole team in real time. The demo loop changed entirely: a client could review overnight, mark up screens, and return a decision without scheduling another call. The team went from 4 client pitches per month to 11. Sales pipeline grew 30% within the first quarter.

Decision Core diagnosed the problem in a week — clients couldn't access our prototypes. Featureverse fixed it. Anyone could open the link, comment on any screen, compare versions. Our close rate improved before we changed anything else about the sales motion.

Head of Growth

getbreakout.ai

Case 03 — Trusted Digital News System · India

Prescribed productFeatureverse

Before Decision Core

14 Figma files for 1 feature3 teams, 3 separate review flowsLeadership approving stale versions4 months stalled
Decision Core found 14 active Figma files for a single publishing feature — nobody knew which was current. After Featureverse gave all three teams one link, a modernization stalled for 4 months shipped in 6 weeks.

fewer revision cycles

6 wk

to ship (was 4 months)

14→1

Figma files consolidated

Riklr Decision Core spent two weeks embedded with the editorial, product, and engineering teams at this news platform. The brief was to accelerate a long-overdue modernization. The diagnostic found the real obstacle within the first week: three teams running three separate review processes, none referencing the same artifact. Editorial was reviewing a PDF export from six weeks prior. Engineering was building from a Figma file that had been updated twice since the last review.

The audit uncovered 14 active Figma files for a single publishing flow — spread across shared drives, Slack DMs, and personal email threads. Version names like 'final_v2_revised_APPROVED_NEW' appeared in four separate files with four different dates. Leadership was signing off on features based on summaries describing prototypes that had since changed. The modernization wasn't stalling from disagreement. It was stalling because nobody could see the same thing at the same time.

Riklr's prescription was Featureverse. Every stakeholder — editorial, product, engineering, leadership — received one link. One live prototype. One version history showing exactly what changed and when. Comments attached to the artifact itself, not scattered across Slack threads. The 14 files became one. Review cycles dropped 40%. The modernization that had been stalled for four months shipped in six weeks. Three teams aligned without a single additional coordination meeting.

We had 14 Figma files for one feature and nobody knew which was current. Leadership was approving things that had already changed. Featureverse gave us one link, one version, one place to react. The modernisation was not blocked by disagreement — it was blocked by opacity. That opacity is gone.

Chief Technology Officer

Digital News Platform · India

Idea-to-Experiment Pipeline

What happens when context, prototypes, and alignment live in one layer.

The same 100 product ideas run through two different operating models. This is how conversion changes.

Without Featureverse

Stage

With Featureverse

100

Ideas

100
45%

Hypotheses

78%
22%

Prototypes

55%
10%

Aligned

44%
6%

Launched

38%
Without Featureverse
With Featureverse

6.3x

more ideas reach launch
as experiments

The Featureverse Effect

The same team. Significantly better outcomes.

Measured across experiment velocity, alignment speed, and revenue signal quality.

Idea to Experiment

2x faster

Experiments / QTR

+30% more

Revenue Signals

+18% identified
Before Featureverse
After Featureverse

Chapter 06 — In Their Words

Featureverse changed how we make decisions. We used to have opinions. Now we have evidence. The product moved faster in the first 90 days than it had in the previous year.

Head of Product — Sport Gaming & Media platform, India

Day 1

First competitor flow captured and prototyped

Week 3

First experiment launched from a Featureverse prototype

Month 3

Beat a key competitor to market. First time in 18 months.

Across All Three Engagements

The pattern repeated everywhere.

$2M+

revenue impact in a single quarter

Sport Gaming & Media platform · India

sales pipeline growth after first quarter

getbreakout.ai

fewer revision cycles across all teams

Digital News Platform · India

What Featureverse Delivers

The operating surface PM teams and leaders rely on.

Hypothesis prioritization

Compare more candidate directions before committing engineering time.

Web prototype review

Prototype directly on the web so product thinking is reviewable, not just described.

State and version clarity

Review screens, state changes, and version-to-version differences without losing context.

PM to leadership alignment

Give PMs, senior PMs, and leaders one link, one comment layer, and one decision surface.

The Pattern Is Clear

Better decisions compound. Better experiments compound. Better outcomes follow.

When teams can see competitor movement, test better hypotheses, and align decisions before build, they reduce waste and ship higher-conviction bets faster.

2×+

experiment throughput

Wks→Days

review cycles

+25%

active experiments