Interpix Design

Interpix Design Leading user experience design agency supporting companies across North America.
30 years of simply useful™ UI/UX

Interpix Design is a user experience design and strategy firm founded in 1995. We have a commitment to delivering successful user experiences and have worked with local and international companies for over 15 years.

There's a line between helpful personalisation and surveillance. Most products cross it without realising.You've felt it...
05/28/2026

There's a line between helpful personalisation and surveillance. Most products cross it without realising.

You've felt it. An ad for something you only mentioned in conversation. A product that surfaces what you looked at once, weeks ago, on a different device. The data behind it is legitimate. The logic is sound. But the feeling it creates is the opposite of what personalisation is supposed to achieve.

Researchers call it the "creepiness threshold", and AI is accelerating how fast products hit it.

The goal isn't to do less personalisation. It's to do personalisation users understand, consent to, and visibly benefit from.

Learn how you can personalize your experiences without crossing the creepiness threshold here → https://www.interpixdesign.com/blog-ai-personalization-surveillance

Every stakeholder has a request. Every request sounds reasonable.Add a dashboard. Add filters. Add integrations. The roa...
05/26/2026

Every stakeholder has a request. Every request sounds reasonable.

Add a dashboard. Add filters. Add integrations. The roadmap grows... and so does the drop-off rate.

Here's what we've learned working with product teams: users don't leave because your product does too little. They leave because they can't find the value it already has.

Feature bloat isn't a product problem. It's a clarity problem.

The best design decision we've made for clients this year wasn't adding something. It was removing it. Cutting the nav item nobody clicked. Collapsing a 4-step flow into 2. Surfacing the one action that makes users stay.

Products that feel effortless don't do less, they simply waste nothing.

Before you greenlight the next feature request, ask one question: will this make the product clearer, or just bigger?

Swipe for the full breakdown →

We let AI design an onboarding flow. Here's what it missed.The output was fast. Structurally sound. Completion rate was ...
05/21/2026

We let AI design an onboarding flow. Here's what it missed.

The output was fast. Structurally sound. Completion rate was high.

And then users hit the dashboard and froze.

AI gave us great scaffolding: sensible step order, progress indicators, clean patterns. What it couldn't do was account for the emotional reality of a new user: the doubt, the short patience window, the unspoken question of "did I make the right call signing up?"

It also optimised for the wrong metric. Finishing a flow and understanding your product are not the same thing. Our most common support ticket after launch? "What do I actually do first?"

Two misses. Both invisible in the output. Both completely human.

The lesson isn't that AI can't help with onboarding design, it absolutely can. The lesson is knowing where its blind spots live. AI builds the skeleton. Designers bring it to life.

Swipe to see the full breakdown →

We spent decades designing interfaces around structure. Menus, tabs, hierarchies. Users learned our products' language. ...
05/19/2026

We spent decades designing interfaces around structure. Menus, tabs, hierarchies. Users learned our products' language. That's changing.

The prompt box is becoming the primary way people interact with software. Not a supplementary feature, but the main event. If you've used GitHub Copilot, Notion AI, or Linear's Ask feature lately, you've felt it. You stop looking for where things are. You just ask.

That shift is not just a feature change. It's an architectural one, and it has major implications for how we design.

Swipe for the key ideas, then read the full post for the complete breakdown: what this means for information architecture, empty states, feedback design, and failure modes. Plus 5 principles we use at Interpix when designing for prompt-first and hybrid interfaces.

Click the link in our bio to read the full blog!

Enterprise software doesn't fail at the technology layer. It fails at the human layer.We've seen it across 30 years of w...
05/14/2026

Enterprise software doesn't fail at the technology layer. It fails at the human layer.

We've seen it across 30 years of working with some of Canada's largest organizations - teams who invested heavily in a platform, launched it, and watched adoption plateau within 90 days.

The culprit is almost always one of five UX problems. They're common, they're fixable, and most teams never diagnose them until it's too late.

Swipe through to see all five, and the fix for each one.

If your team is struggling with adoption after a software rollout, the answer isn't more training. It's better design.

Contact us today to learn how we can help!

If you've ever stared at a bounce rate above 85% wondering what went wrong, bots might be the answer. They inflate your ...
05/12/2026

If you've ever stared at a bounce rate above 85% wondering what went wrong, bots might be the answer. They inflate your visit counts, destroy your engagement metrics, and make your conversion rate look like a disaster when your actual product is fine.

Here's what's actually happening to your data, and what to do about it.

What bot traffic corrupts: Bounce rate jumps from 42% to 87%. Average session duration collapses from 2 minutes to 4 seconds. Conversion rate tanks. Your "direct" traffic channel balloons with sessions that never interact with a single element on the page.

Every UX decision you make based on that data is wrong.

Here are 5 signals your analytics is compromised:
1. Bounce rate above 90% with near-zero session times
2. Traffic spikes with no campaign source, tagged as "direct"
3. Sessions from datacentre IP ranges (AWS, DigitalOcean, OVH)
4. Sessions with zero recorded events or interactions
5. Sudden geographic clustering from regions you don't serve

Here's how to fix it:
→ Enable bot filtering in GA4 (it's off by default in some configurations)
→ Filter known bot IP CIDR ranges via Cloudflare or at the platform level
→ Create an "engaged sessions" segment: duration >5s AND events >1 (use this as your baseline)
→ Move to server-side analytics. Bots that block JavaScript are invisible to client tags but not to your server logs

Bad data leads to bad design decisions. Clean your data before you redesign anything.

Contact us today to get help setting this up!

AI is making your product more useful. It might also be making it feel like a surveillance tool. Those things can happen...
05/07/2026

AI is making your product more useful. It might also be making it feel like a surveillance tool. Those things can happen simultaneously.

We've been keeping track of the UX patterns that cross the line - where personalisation stops feeling like help and starts feeling like profiling. Six of them keep appearing (swipe to learn more).

The algorithm usually isn't the problem. The design decisions around transparency, consent, and control are. Those are UX problems, and they have UX solutions.

Contact us today to book a free UX audit.

The search results page used to be the goal. Now it's barely relevant.For decades, SEO meant one thing: rank as high as ...
05/05/2026

The search results page used to be the goal. Now it's barely relevant.

For decades, SEO meant one thing: rank as high as possible in a list of links. Get to #1. Drive clicks. Build traffic.

That model is being replaced, fast.

When someone asks ChatGPT, Claude, Perplexity, or Google's AI Overview a question, they don't get ten links to choose from. They get one synthesized answer, pulling from two or three cited sources.

If your brand isn't one of those sources, you don't appear in the answer at all.
This is AI SEO - also called Generative Engine Optimization (GEO). And it changes the fundamental question from "how do I rank?" to "how do I get cited?"

The answer: write for how people actually ask questions. Be specific, clear, and authoritative. Name real experts. Structure content so AI can parse and cite it easily.

The brands that figure this out now will own the answers for years.

Want to learn how we can help optimize your content strategy for GEO? Contact us today!

Everyone's talking about AI in design. Here's what we actually do with it, and what we still don't.After 30 years of UX ...
04/30/2026

Everyone's talking about AI in design. Here's what we actually do with it, and what we still don't.

After 30 years of UX practice, we're not interested in hype in either direction. AI is genuinely useful in parts of our workflow. It's genuinely not ready for others. Here's the honest version.

Where we use it: Research synthesis. Clustering 50+ interview transcripts from hours to minutes (we still own the interpretation). Rapid wire-framing. 8–10 layout variations as thinking prompts (not finished work). UX copy scaffolding. First drafts of error messages and onboarding labels (always rewritten before shipping). Accessibility auditing. Mechanical checks on contrast, ARIA labels, and heading structure. Competitor analysis, journey map structure, hypothesis generation.

Where we don't: User research. AI can't read the pause before an answer, or notice the workaround a user quietly built because they couldn't find the button. Design decisions. Which direction to take, which trade-off to make - these require judgment grounded in the actual problem. Usability testing. Moderated sessions require a practitioner who knows when to probe, when to stay silent, and what to look for. Final UI delivery. Nothing ships without full human review, revision, and sign-off.

AI handles the work. We own the judgment.

Every developer knows what technical debt is. UX debt works exactly the same way, but it operates in the shadows.It does...
04/28/2026

Every developer knows what technical debt is. UX debt works exactly the same way, but it operates in the shadows.

It doesn't crash your servers. It shows up in your retention numbers, your support ticket volume, your onboarding drop-off rates, and the slow-burning frustration of users who eventually just stop trying.

And unlike technical debt, UX debt rarely gets a sprint. It gets noticed only when customers churn. And by then, years of accumulation are already locked in.

Swipe to see how it compounds, what it costs, and why it's harder to fix than tech debt. 👉

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