We started asking better questions about events

And found that most organizers were drowning in data but starving for actual insight.

Back in 2018, three of us sat in a cramped office in Zhongshan District, wrestling with spreadsheets from a tech conference we'd just analyzed. The client wanted to know if their event was successful. Simple question, right?

Turns out it wasn't simple at all. We spent days building reports that looked impressive but felt hollow. That's when we realized the industry had a problem—lots of numbers, very little meaning.

Event analysis workspace showcasing our collaborative approach to data interpretation

How we got here

Building something useful takes time. And mistakes. We've made plenty of both.

2018

The beginning wasn't pretty

Started with just event surveys and basic feedback forms. We thought we'd be revolutionizing events within months. Reality hit hard—our first three clients barely understood our reports, and honestly, we weren't explaining things well either.

Spent most of that year learning to translate data into actual business decisions. Turns out, that's the hard part.

2020

Virtual events changed everything

When the world went online, event organizers suddenly had access to mountains of digital interaction data. Problem was, nobody knew what to do with it all. We adapted fast—building frameworks to track virtual engagement that actually meant something.

This was also when we doubled our team and moved into our current Taipei office. Growing pains included, but we made it through.

2022

Found our rhythm with hybrid formats

Hybrid events are messy to analyze—in-person attendees behave differently than online ones, and comparing the two is tricky. We developed methods to give organizers a clear picture of both audiences without making it complicated.

This year also marked our first work with major corporate events and industry conferences across Taiwan and Southeast Asia.

2024

Refined our reporting approach

After hundreds of events, we noticed patterns—what organizers actually need to know versus what looks good in a slide deck. So we rebuilt our entire reporting system from the ground up, focusing on actionable findings instead of impressive charts.

Our clients started making concrete changes based on our analysis. That felt good.

2025

Where we are now

We're working with event organizers who want honest feedback, not validation. Our team has grown to twelve people, each bringing different perspectives on how events can improve.

We're not trying to be the biggest—just the most useful. And we're still learning something new from every event we analyze.

What we care about

These aren't aspirational. They're how we actually work.

Clarity over complexity

Anyone can make data look complicated. We get paid to make it clear. If an event organizer can't understand our findings in ten minutes, we've failed.

Honest feedback wins

Sometimes the data shows an event didn't work as planned. That's okay. Our job is to explain why and what might work better next time—not to sugarcoat results or tell clients what they want to hear.

Context matters more than metrics

A 70% satisfaction rate might be excellent for one event and concerning for another. We dig into the why behind numbers instead of just reporting percentages and calling it done.

Practical beats perfect

We could spend weeks crafting the perfect analysis. But event organizers need insights while they're still relevant. We focus on delivering useful findings quickly rather than comprehensive reports eventually.

Who does the work

Small team, direct communication. When you work with us, you work with us.

Stellan Virtanen

Lead Analyst

Stellan joined us in 2019 after spending five years organizing tech conferences himself. He got tired of receiving useless post-event reports and figured he could do better. Turns out he was right.

He's the one who redesigned our reporting framework in 2024 and pushes us to keep things practical. When clients have complex questions about their data, Stellan's usually the one figuring out the answer.

Direct line: info@ascendxhyper.com

How we actually do this

No proprietary methods or secret formulas. Just systematic thinking applied to event data.

Detailed event data review session with multiple analysis screens

Team collaboration on event feedback interpretation and insights

Our process is straightforward

We collect whatever data your event generates—surveys, attendance patterns, engagement metrics, feedback forms. Then we spend time understanding what you're actually trying to accomplish with your event.

Because here's the thing: good analysis starts with good questions. We'll ask you plenty before we start crunching numbers.

First conversation is about your goals, not our services
We review your existing data collection methods
Analysis happens with context, not in isolation
Reports focus on decisions you can actually make
Follow-up included because questions always come up

Most of our clients work with us for multiple events. Not because we lock them in, but because the analysis gets better when we understand their audience and format over time.

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AscendXHyper