They destroy retention, inflate support costs, and waste your team’s time.
I’ve helped 30+ companies fix them.
Now I’m on a mission to help thousands.
Let’s see if yours is next.

Your navigation grew from 8 to 23 items in 6 months without corresponding content updates or clearer groupings. Users couldn’t find new resources because the structure hadn’t evolved to guide them. People assumed features or information didn’t exist when really they were just buried. Your support team got slammed with questions. Customers started leaving.
You’re shipping content faster than you’re organizing it.
After multiple acquisitions last year, you finally got the green light from leadership for a website transformation project to merge all digital entities into a single, consistent experience. You picked a top brand identity firm for your rebrand, and you’re excited for the new look, but worried about making content architecture decisions across 30 websites.
There’s no clear ownership for each site, different audiences, reputational risks, and a deadline breathing down your neck.
The CMS is inefficient, forcing editors to manually tag content and enforcing sorting types that hinder the implementation of more effective grouping strategies that could be scaled alongside your expanding content library. Content gets lost in the shuffle, review status is unclear, and sourcing information is a headache. Copywriters, sales, designers, marketers, and developers keep bouncing requests back and forth.
Your team and content have to adapt to the content management system, not the other way around.
What I believe
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I’d estimate that for every web page or app screen, there are 10+ ways to structure information on that screen. But “how do we structure information for maximum findability” isn’t a common refrain (yet!) in most meeting rooms.
Despite having GitHub performance monitoring, SEO dashboards, security protocols, and visually stunning design elements, most companies lack a framework to audit content architecture performance and how users look for information within their product.
Yet, language-shaped problems directly impact revenue, efficiency, and customer satisfaction.
They’re not abstract UX problems, but measurable and tied to business outcomes: task completion time, support ticket volume, sales cycles, retention, CSATs.
The Little Language Models process is an established framework for research, auditing, and developing new content structures aligned with key goals.
I’ve helped 30+ companies understand and fix their information architecture problems, and achieve fantastic results in the process.
Senior VP of Growth

“I liked being led through a proven model. All of us are interested in getting things right and saying things properly. When we do this, we feel aligned, heard, supported, and part of something bigger than ourselves. We learn from one another, and come together as a team. This really only happens when we submit to a process and allow an expert to lead us.”

Daniel Slowacek
Experience Design Lead

“The tone of voice exercise was very effective at showing current inconsistencies and aligning a group of people as well as educating them. Your level of organization, communication, and preparations were brilliant.”
Senior PM at a F100 company

“This was a messy project, and we appreciated Delfina taking on all aspects of its messiness.
What was so valuable with the service was how Delfina was able to put into words how the problems impact our users. We would definitely purchase these services again!”
How I help
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Evaluate content clarity, consistency, and hierarchy.
Timeline: 4 weeks
Investment: $3,000
Improve content discoverability and user satisfaction.
Timeline: 4-12 weeks
Investment: Starting from $7,000
Take your content to the next level, while I help you define where that is and
support you in getting there.
I offer extended information architecture consulting engagements (lasting over 3 months), and I’d be happy to discuss pricing following our initial conversations.
Get tips on identifying, addressing, and preventing language-shaped problems.
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We increase user engagement by increasing feature clarity and task completion, increase conversion rates by transforming confusing mazes into intuitive resources, reduce annual content management costs by reducing redundant information and using structured content modeling, and reduce support tickets by using labels and groupings that match user language.
Our main stakeholder is usually a product manager, design director, or CMO. The companies we work with usually have a product, such as an enterprise website, a SaaS platform, or a mobile app, used by thousands to millions of users.
We work remotely. For EU-based clients, we prefer to meet in person for critical checkpoints such as kick-offs or final design walkthroughs.
We don’t work with the cryptocurrency, military, tobacco, meat, or gaming industries.
We analyze your content’s tone, clarity, and structure to identify vulnerabilities and prioritize them based on impact and effort, so you have a clear action plan. To define relevant areas, we review analytics tools and conduct interviews with stakeholders and users.
A sense of disconnection in product content can negatively influence users’ perceptions of the company, affecting sales, satisfaction, and retention. We help by rewriting navigation labels, matching content groupings to users’ mental models, and streamlining information pathways to improve discoverability. The platform can then guide visitors seamlessly through your product, using clear language, intuitive navigation menus, search features, and CTAs.
The name of the business playfully contrasts with AI’s Large Language Models, emphasizing a minimalist, impact-driven approach to business and information architecture… Keep reading