Redesigning PagerDuty's web experience for AI-informed buyers,using behavioral insights and
experimentation to increase trial sign-ups by 73%.

Product

Product

Website

Website

Type

Type

Web Experience & Growth Design

Web Experience & Growth Design

Industry

Industry

Incident Management, AI Operations

Incident Management, AI Operations

The Shift

The Shift

For years, websites were designed around exploration. People arrived with questions, navigated through pages, compared features, and gradually built confidence before making a decision.

Today, that journey is changing.

AI assistants increasingly help buyers discover, compare, and narrow down products before they ever visit a website.
By the time someone lands on a homepage, they're often looking for confirmation rather than introduction.
This shift challenged many traditional web design patterns—and became the foundation of the redesign.

The Challenge

The Challenge

PagerDuty's existing website was also built for the traditional buying journey, and we had to adapt it for today's world.

Problems

Traditional web journeys no longer matched buyer behavior → AI shifted product discovery away from websites, making exploration-focused experiences less effective.

Generic experiences created uncertainty → The same messaging and product story failed to address different user goals and intent.

Product value took too long to validate → Buyers needed authentic product experiences and customer evidence before committing to a trial.

The Goal

The Goal

The goal wasn't to redesign pages visually. It was to reshape the entire experience for a new decision-making process in the age of AI.

Opportunities

Design for AI-informed buyers → Shift the website from introducing products to validating decisions.

Personalize around user intent → Help different audiences immediately recognize relevant value.

Build trust through authentic experiences → Combine real product interactions with customer proof to accelerate confidence.

Behavioral Signals

Behavioral Signals

Behavioral Signals

Because the buying journey itself was changing, established web patterns could no longer be taken for granted. Using behavioral analytics, A/B testing, and design experiments, I identified the behavioral patterns that shaped the redesign.

Because the buying journey itself was changing, established web patterns could no longer be taken for granted. Using behavioral analytics, A/B testing, and design experiments, I identified the behavioral patterns that shaped the redesign.

Validated

Statistically significant evidence

Directional

Positive movement, additional validation needed.

Observed

Detected repeating behavioral patterns without significant statistical validation.

Some experiments produced statistically significant wins, while others revealed directional or behavioral signals. Together, they informed the redesign and helped identify patterns that extended beyond individual pages or components.

Behavioral Signals

Behavioral Signals

Behavioral Signals

Can messaging tailored to specific user groups and industries increase engagement?

+16%

enterprise engagement

Observed

Behavioral Signal

Enterprise visitors engaged more when the homepage reflected their context.

AI-Era Design Insight

As AI helps buyers research products before visiting a website, they arrive with stronger intent and expect immediate confirmation that they're in the right place.

Behavioral Signals

Behavioral Signals

Behavioral Signals

Does showing the actual product create more engagement than stock imagery or a demo video?

+16%

video CTA clicks

Directional

Behavioral Signal

Showing the actual product generated more interest than stock imagery.

AI-Era Design Insight

As AI makes marketing claims easier to generate, authentic product experiences become a stronger signal of trust and credibility.

Behavioral Signals

Behavioral Signals

Behavioral Signals

Can the value proposition adapt to the visitor instead of staying generic?

+45%

trial submissions

Directional

Behavioral Signal

Generic messaging explains. Relevant messaging creates stronger intent.

AI-Era Design Insight

High-intent buyers don't need generic value propositions. They look for messaging that validates what they already believe the product can do.

Behavioral Signals

Behavioral Signals

Behavioral Signals

What happens when we remove competing content?

+19%

trial submissions

Validated

Behavioral Signal

Reducing cognitive load creates a clearer path to conversion.

AI-Era Design Insight

When buyers arrive with greater context, unnecessary explanation becomes friction. The experience should help them act, not educate them from the beginning.

Behavioral Signals

Behavioral Signals

Behavioral Signals

Can clearer pricing information and language encourage buyers make decisions faster?

+90%

contact sales conversion

Validated

Behavioral Signal

Making savings visible encouraged more buyers for sales conversation.

AI-Era Design Insight

The sign-up experience was redesigned to simplify progression, improve clarity, and reinforce confidence throughout the onboarding flow. Rather than introducing new interactions, the work focused on removing friction between purchase intent and action.

Behavioral Signals

Behavioral Signals

Behavioral Signals

Can clearer language encourage enterprise buyers to take action?

+44%

enterprise CTA clicks

Directional

Behavioral Signal

Reducing ambiguity helps users commit to the next step.

AI-Era Design Insight

High-intent buyers scan for clarity rather than persuasion. Clear language reduces uncertainty and helps them confidently take the next step.

Design Decisions

Across these experiments, three consistent patterns emerged. Pointing toward a broader shift in how high-intent buyers evaluate software. These patterns became the foundation of the design decisions.

Recognition before explanation

🔻 Buyers wanted to immediately identify themselves instead of interpreting generic messaging.

Validation over discovery

🔻 Authentic product experiences and customer proof built confidence faster than conceptual marketing.

Confidence before commitment

🔻 Once uncertainty was reduced, removing friction from sign-up became more valuable than adding information.

Recognition before explanation

Recognition before explanation

The redesign introduced audience-specific experiences that helped buyers immediately recognize themselves within the product.

The homepage shifted from a one-size-fits-all introduction to audience-specific journeys. Rather than asking visitors to interpret how PagerDuty applied to them, the experience immediately reflected their context through personalized messaging, relevant product examples, and AI-assisted workflows.

Validation over discovery

Validation over discovery

Instead of describing AI capabilities through marketing copy alone, the redesigned experience allowed buyers to explore individual AI agents through authentic product experiences.

Instead of presenting AI as a single capability, the redesigned experience helped buyers explore individual agents through authentic product interactions, measurable customer outcomes, and supporting case studies that reinforced trust throughout evaluation.

Confidence before commitment

Confidence before commitment

The redesigned onboarding balanced clarity, trust, and value communication to help visitors commit with confidence.

The final sign-up experience combined learnings from multiple experiments into a simpler, higher-confidence onboarding flow. Rather than relying on a single optimization, the redesign balanced value communication, trust signals, and onboarding clarity to help visitors move confidently toward trial.

Final Impact

Final Impact

The resulting design patterns improved conversion performance across multiple initiatives, including a 73% increase in trial sign-ups, while creating a scalable foundation for future AI-era experiences.

Key Takeaways

The strongest design decisions come from combining experimentation, behavioral evidence, and business needs, not from shipping individual experiment winners. As AI reshapes discovery, websites should prioritize rapid validation through relevant product experiences and credible customer evidence.

Explore more shipped products I've designed across AI, SaaS, and enterprise platforms, each delivering measurable business impact.