Personio AI-powered Support

I led the end-to-end experience and co-defined the vision strategy for Personio’s in-app Support Experience, shaping it from initial concept to full implementation. This is a story of how I transformed Personio Support from fragmented modals and dropdown menus into a streamlined, AI-driven experience.

Company: Personio
My role: Design Lead & Strategic Partner
Year: 2025
Timeframe: 8 months

Overview

Personio is Europe’s leading HR software, helping over 10,000 companies streamline their people operations, from recruiting to payroll, all in one powerful and easy-to-use platform.

Support was one of Personio’s biggest pain points, cited in customer surveys as the top reason users considered leaving the product. Many found it difficult to navigate the various channels, know where to start, or understand what to expect after submitting a request.

As the Experience Lead for the Customer Enablement vertical, my mission was clear: to transform support into a unified, streamlined, and genuinely helpful experience powered by AI. It was time to build a Support experience customers would actually love.

My role

I was the Staff Product Designer leading the in-app Support experience alongside a Product Manager and Engineering Manager. As Support revamp was a key strategic initiative for Personio, we reported directly to the COO and, during conceptualization, collaborated with the CEO. The work spanned cross-product experiences and backend systems, requiring close collaboration with CX, Systems, and other product teams.

Product Vision

During the Framing phase, I helped analyze background data and insights to shape clear problem statements, desired outcomes, and success metrics.

Design Owner

I built and scaled the Support Design System and was the decision-maker for all Support experience initiatives. I also managed and allocated cross-functional resources to keep the project moving forward.

Research Driver

I planned, conducted, and analyzed research and usability tests with real customers to inform and refine the Support experience.

Collaboration Advocate

I facilitated deep dives, brainstorming sessions, design reviews, and team activities throughout the design process.

Design process

💬

Every design screen underwent extensive exploration.

For instance, the Support Landing page had around 20 variants.

Success metrics

The primary focus is to increase customer love and enhance the post-sales support experience while improving operational efficiency without compromising quality.

PO

📈 Increase Customer Love (CSAT)

P1

📉 Reduce Resolution Time

P2

📉 Reduce Contact Rate

Outcomes

One Unified Support Landing Experience

Before

Fragmented support entry points. No unified landing experience.

After

A Support Landing Page accessible from the sidebar: AI-driven, user-validated, and enriched with curated self-serve content and product learning links.

In-app Support Tickets and Support History

Before

Users received responses to their support requests via email and had no visibility into past or ongoing requests within the app.

After

Users can access a Support History hub on the Support Landing Page, where they can easily track and manage all past and active support conversations and requests. Each support case has a dedicated view, displaying history, metadata, progress, and status updates in a clear, conversational format.

In-App & Out-of-App Support Notifications

In-app Inbox
Branded email notifications

Unified Conversational Contact Us Flow

Before

Fragmented form-based modals that aren’t connected to the Support AI chat and require users to repeat information.

After

Support chats seamlessly escalate to human support within the same conversation. No modals, no disruptive transitions. Everything is recorded in the Support ticket view.

Fin Integrated into Support AI

Before

Button-based Support AI with no multi-turn capability and limited deflection. The chat lives in a separate modal among many fragmented support entry points.

After

Fin is integrated into Support AI, enabling multi-turn conversations without button prompts, with the ability to ask follow-up questions and escalate to human support when needed. The experience feels like talking to an agent, letting users focus on solving their problem.

Advanced controls for support tickets

Share ownership of support requests with authorized colleagues.

Mark a support request closed and reopen it anytime.

In-app Support CSAT Flows

Self-serve CSAT

Support Request CSAT

Designed for mobile, delivered with dark mode

Impact and Success

A strategic product to win and retain customers, driving market leadership.

Support costs optimized with AI, without compromising quality.

Support impacts every product, in-app and beyond.

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