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0→1 analytics platform

Organizations were paying for Calendly without ever seeing its value. With no chart system and no precedent in the industry, I built scheduling’s first analytics product — turning raw booking data into the proof admins needed.

90%Adoption at GA

83%CSAT

TeamDesign lead · cross-functional team of 5

When2022

Stakes: 60% of at-risk enterprise accounts couldn't see what they paid for; renewals were slipping.
Alignment: 30 customer interviews; untested chart rendering at scale; CS feared surfacing idle seats.
What I did: Built the 0→1 chart system and dashboard — interactive, screenshot-ready, admin-customizable.
Ripple effect: 90% adoption, 83% CSAT; Analytics users expanded seats 15% more.

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The challenge

Renewals were getting harder. More than 60% of at-risk enterprise accounts told Customer Success the same thing: they couldn't see what they were paying for. The fix was overdue — scheduling had never had an analytics product at all.

“Account managers lacked visibility into team scheduling metrics, making it hard to justify renewals — or trust that Calendly still mattered.”

Adoption: 40% of orgs with 20+ seats
Retention: half still using it after a month
Satisfaction: 70%+ CSAT

Three things stood in the way: untested chart rendering at real scale, the risk that surfacing idle seats would highlight the wrong kind of insight, and no existing chart components — this was a true 0→1 build.

Process

Competitive analysis across ten scheduling tools and interviews with 30 enterprise customers converged on one thing: people didn't want more numbers, they wanted a decision. Exploration had to be interactive, charts had to survive being screenshotted into a slide, and admins wanted to choose what showed up rather than accept a fixed set.

Ten competitors, one gap: nobody in scheduling had shipped analytics yet.

Information architecture explorations for where analytics lives in the navigation — Where analytics lives in the nav, and how it scales as more views get added.

Decision tree for selecting appropriate chart types — A decision tree for which chart earns its place — kept the system small on purpose.

Two early directions got tested before the final shape settled: a dense layout built around cards, and a card-free alternative that let the data breathe.

Wireframe of the dashboard — Early wireframe

A lo-fi design exploring a card-free layout — A card-free alternative

The design handed to engineering — filtering, drill-down, and per-admin customization.

Results

Metric	Goal	Beta	GA
Adoption rate	40%	53%	90%
Retention rate	50%	52%	75%
CSAT	70%	82%	83%

The feared downside never showed up — teams that used Analytics expanded their seats 15% more than teams that didn't. Visibility strengthened the relationship instead of exposing a weak one.

“I really love it. It's reduced my workload so much... I just send the visuals to execs as is.”
— Adobe

“Calendly is ahead of a lot of the other tools I use in terms of what we can get from the data.”
— Halpenny Insurance

Reflections

What worked

Data-savvy analysts and team leads who'd never opened a dashboard needed the same product. Layering it — strong defaults, plain-language copy, complexity you could opt into — made it work for both.

Opportunities

The dashboard made sense once you were in it; getting there needed help. A short guided first run would have pulled the retention curve forward instead of leaving it to word of mouth.