Product Strategy

& Design


Building beautiful and intuitive products requires a special blend of exceptional design skills and effective project management. 


Our talented team create compelling products for your users, deliver stunning interfaces and exceptional user experiences.

Our user-centred approach is infused in every step of the design process — from wire framing to delivery — so you can be confident that you’re delivering a great product to your users every time. 

Our Product Strategy & Design Philosophy


Human-Centred

Our approach is informed by extensive research and empathy, delivering products that are inclusive, accessible and tailored to your users

Tailored

We’ll embed seamlessly alongside and work collaboratively with your existing development team or tackle stand-alone projects — our services always fit your workflow and project requirements

Tool Agnostic

Our experienced, innovative and adaptive designers will work with the tools that best suit your project — Whether you’re using Figma, XD or pen and paper

Adaptive

Our deep expertise, collaborative approach and ‘technostic’ flexibility means we can successfully deliver across a range of sectors, from retail media to education to insurance

Services


Product Design

Transform your Products

We’re experts in designing effective and innovative products that are aligned to user’s requirements, and your technical environment. 


We specialise in scalable design systems for mobile, desktop, responsive interfaces, a variety of business systems — both B2B and consumer-facing — and internal platforms. 


  • Wireframes 
  • Prototypes 
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Product Vision & Roadmaps

Align your Goals

We’ll help define your product vision, strategy, and roadmap to help turn your product into reality. 


We prioritise features that align with business goals and using journey mapping, we transform your vision into a roadmap for success. 


  • Product Vision Advice 
  • Product Roadmap Workshops 
  • Strategic Planning 
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UX Practice

Human-Centred Design

We prioritise features that align to business goals and using journey mapping, we transform your vision into a roadmap for success.


  • Product Vision Advice 
  • Product Roadmap Workshops 
  • Strategic Planning 
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Training & Capability Uplift

Upskill your Teams

We empower your internal teams to succeed, offering comprehensive training in design and product management that equips your team members with the skills they need to excel. 


We’ll help you set up effective design and product management practices, improving ways of working and fostering a culture of continuous improvement within your organisation. 


  • Design and product management training 
  • Best practice and ways of working training 
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Case Studies


We're extremely proud of the work we complete for each and every client.

From enterprise clients all the way through to small businesses and startups, our focus has always been on providing positive results in the most efficient way possible. Our Way of Working paves the way for successful outcomes for each project.

SEE CASE STUDY

Our Latest Thinking


By Joe Cooney 02 Apr, 2024
Red-team challenges have been a fun activity for PZ team members in the past, so we recently conducted a small challenge at our fortnightly brown-bag session, focusing on the burgeoning topic of prompt injection. Injection vulnerabilities all follow the same basic pattern – un-trusted input is inadvertently treated as executable code, causing the security of the system to be compromised. SQL injection (SQLi) and cross-site scripting (XSS) are probably two of the best-known variants, but other technologies are also susceptible. Does anyone remember XPath injection? As generative models get incorporated into more products, user input can be used to subvert the model. This can lead to the model revealing its system prompt or other trade secrets, reveal information about the model itself which may be commercially valuable, subvert or waste computation resources, perform unintended actions if the model is hooked up to APIs, or cause reputational damage to the company if the model can be coerced into doing amusing or inappropriate things. As an example, entrepreneur and technologist Chris Bakke was recently able to trick a Chevy dealership’s ChatGPT-powered bot into agreeing to sell him a Chevy Tahoe for $1 . Although the U.S. supreme court has yet to rule on the legal validity of a “no takesies backsies” contract (as an employee of X Chris is probably legally obligated to drive a Tesla anyway) it is not hard to imagine a future scenario with steeper financial consequences.
27 Feb, 2024
With the advent of ChatGPT, Bard/Gemini and Co-pilot, Generative AI, and Large Language Models (LLMs) have been thrust into the spotlight. AI is set to disrupt all industries, especially those that are predominately based on administrative support, legal, business, and financial operations, much like insurance and financial organisations.
By Joe Cooney 22 Feb, 2024
One of the features of life working at PZ is our brown bag lunch and learn sessions; presentations by staff on topics of interest – sometimes, but not always technical, and hopefully amusing-as-hell. Yesterday we took a break from discussing the book Accelerate and the DORA metrics to take a whirlwind tour of the current state of play running “open source” generative AI models locally. Although this talk had been ‘in the works’ for a while, one challenge was that it needed to constantly be revised as the state of AI and LLMs changed. For example, the Stable Video Diffusion examples looked kind of lame in comparison to OpenAI’s Sora videos (released less than a week ago) and Groq’s amazing 500 token-per-second hardware demo on Monday/Tuesday , and the massive context size available now in the Gemini 1.5 models (released a few hours before OpenAI announced Sora...coincidence? An effort by OpenAI to steal back the limelight! Surely NOT!). And now a day later, with the paint still drying on a highly amusing slide-deck for the talk, Google releases their “open-source" Gemma models! The day itself presented an excellent example of why having more control of your models might be a good thing. ChatGPT 4 users began reporting “crazy” and highly amusing responses to fairly normal questions . We became alerted to this when one of our own staff reported on our internal Slack about a crazy response she received to a question about the pros and cons of some API design choices. The response she got back started normally enough, but then began to seem to channel Shakespeare’s Macbeth and some other olde English phrases and finished thusly. "Choose the right charm from the box* dense or astray, it’ll call for the norm. Your batch is yours to halter or belt. When in fetch, marry the clue to the pintle, and for the after, the wood-wand’s twist'll warn it. A past to wend and a feathered rite to tend. May the gulch be bygones and the wrath eased. So set your content to the cast, with the seal, a string or trove, well-deep. A good script to set a good cast. Good health and steady wind!" The sample JSON payload was also in keeping with the rest of the answer. { "htmlContent": "

Your HTML here

", "metadata": { "modifiedBy": "witch-of-the-wood", "safety": "sanitized", "mood": "lunar" } } Hubble, bubble, toil and trouble. Although there were no reports of the GPT4 API being affected by this (only ChatGPT) it might have given people developing automated stock trading bots using GPT4 a reason to pause and contemplate what might have been if their stock portfolio now consisted of a massive long position on Griselda’s Cauldron Supplies. As ChatGPT would say, Good health and steady wind.
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