February 20, 2024
3 min

Meera Pankhania: From funding to delivery - Ensuring alignment from start to finish

It’s a chicken and egg situation when it comes to securing funding for a large transformation program in government. On one hand, you need to submit a business case and, as part of that, you need to make early decisions about how you might approach and deliver the program of work. On the other hand, you need to know enough about the problem you are going to solve to ensure you have sufficient funding to understand the problem better, hire the right people, design the right service, and build it the right way. 

Now imagine securing hundreds of millions of dollars to design and build a service, but not feeling confident about what the user needs are. What if you had the opportunity to change this common predicament and influence your leadership team to carry out alignment activities, all while successfully delivering within the committed time frames?

Meera Pankhania, Design Director and Co-founder of Propel Design, recently spoke at UX New Zealand, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, on traceability and her learnings from delivering a $300 million Government program.

In her talk, Meera helps us understand how to use service traceability techniques in our work and apply them to any environment - ensuring we design and build the best service possible, no matter the funding model.

Background on Meera Pankhania

As a design leader, Meera is all about working on complex, purpose-driven challenges. She helps organizations take a human-centric approach to service transformation and helps deliver impactful, pragmatic outcomes while building capability and leading teams through growth and change.

Meera co-founded Propel Design, a strategic research, design, and delivery consultancy in late 2020. She has 15 years of experience in service design, inclusive design, and product management across the private, non-profit, and public sectors in both the UK and Australia. 

Meera is particularly interested in policy and social design. After a stint in the Australian Public Service, Meera was appointed as a senior policy adviser to the NSW Minister for Customer Service, Hon. Victor Dominello MP. In this role, she played a part in NSW’s response to the COVID pandemic, flexing her design leadership skills in a new, challenging, and important context.

Contact Details:

Email address: meera@propeldesign.com.au

Find Meera on LinkedIn  

From funding to delivery: ensuring alignment from start to finish 🏁🎉👏

Meera’s talk explores a fascinating case study within the Department of Employment Services (Australia) where a substantial funding investment of around $300 million set the stage for a transformative journey. This funding supported the delivery of a revamped Employment Services Model, which had the goal of delivering better services to job seekers and employers, and a better system for providers within this system. The project had a focus on aligning teams prior to delivery, which resulted in a huge amount of groundwork for Meera.

Her journey involved engaging various stakeholders within the department, including executives, to understand the program as a whole and what exactly needed to be delivered. “Traceability” became the watchword for this project, which is laid out in three phases.

  • Phase 1: Aligning key deliverables
  • Phase 2: Ensuring delivery readiness
  • Phase 3: Building sustainable work practices

Phase 1: Aligning key deliverables 🧮

Research and discovery (pre-delivery)

Meera’s work initially meant conducting extensive research and engagement with executives, product managers, researchers, designers, and policymakers. Through this process, a common theme was identified – the urgent (and perhaps misguided) need to start delivering! Often, organizations focus on obtaining funding without adequately understanding the complexities involved in delivering the right services to the right users, leading to half-baked delivery.

After this initial research, some general themes started to emerge:

  1. Assumptions were made that still needed validation
  2. Teams weren’t entirely sure that they understood the user’s needs
  3. A lack of holistic understanding of how much research and design was needed

The conclusion of this phase was that “what” needed to be delivered wasn’t clearly defined. The same was true for “how” it would be delivered.

Traceability

Meera’s journey heavily revolved around the concept of "traceability” and sought to ensure that every step taken within the department was aligned with the ultimate goal of improving employment services. Traceability meant having a clear origin and development path for every decision and action taken. This is particularly important when spending taxpayer dollars!

So, over the course of eight weeks (which turned out to be much longer), the team went through a process of combing through documents in an effort to bring everything together to make sense of the program as a whole. This involved some planning, user journey mapping, and testing and refinement. 

Documenting Key Artifacts

Numerous artifacts and documents played a crucial role in shaping decisions. Meera and her team gathered and organized these artifacts, including policy requirements, legislation, business cases, product and program roadmaps, service maps, and blueprints. The team also included prior research insights and vision documents which helped to shape a holistic view of the required output.

After an effort of combing through the program documents and laying everything out, it became clear that there were a lot of gaps and a LOT to do.

Prioritising tasks

As a result of these gaps, a process of task prioritization was necessary. Tasks were categorized based on a series of factors and then mapped out based on things like user touch points, pain points, features, business policy, and technical capabilities.

This then enabled Meera and the team to create Product Summary Tiles. These tiles meant that each product team had its own summary ahead of a series of planning sessions. It gave them as much context (provided by the traceability exercise) as possible to help with planning. Essentially, these tiles provided teams with a comprehensive overview of their projects i.e. what their user needs, what certain policies require them to deliver, etc.  

Phase 2: Ensuring delivery readiness 🙌🏻

Meera wanted every team to feel confident that we weren’t doing too much or too little in order to design and build the right service, the right way.

Standard design and research check-ins were well adopted, which was a great start, but Meera and the team also built a Delivery Readiness Tool. It was used to assess a team's readiness to move forward with a project. This tool includes questions related to the development phase, user research, alignment with the business case, consideration of policy requirements, and more. Ultimately, it ensures that teams have considered all necessary factors before progressing further. 

Phase 3: Building sustainable work practices 🍃

As the program progressed, several sustainable work practices emerged which Government executives were keen to retain going forward.

Some of these included:

  • ResearchOps Practice: The team established a research operations practice, streamlining research efforts and ensuring that ongoing research was conducted efficiently and effectively.
  • Consistent Design Artifacts: Templates and consistent design artifacts were created, reducing friction and ensuring that teams going forward started from a common baseline.
  • Design Authority and Ways of Working: A design authority was established to elevate and share best practices across the program.
  • Centralized and Decentralized Team Models: The program showcased the effectiveness of a combination of centralized and decentralized team models. A central design team provided guidance and support, while service design leads within specific service lines ensured alignment and consistency.

Why it matters 🔥

Meera's journey serves as a valuable resource for those working on complex design programs, emphasizing the significance of aligning diverse stakeholders and maintaining traceability. Alignment and traceability are critical to ensuring that programs never lose sight of the problem they’re trying to solve, both from the user and organization’s perspective. They’re also critical to delivering on time and within budget!

Traceability key takeaways 🥡

  • Early Alignment Matters: While early alignment is ideal, it's never too late to embark on a traceability journey. It can uncover gaps, increase confidence in decision-making, and ensure that the right services are delivered.
  • Identify and audit: You never know what artifacts will shape your journey. Identify everything early, and don’t be afraid to get clarity on things you’re not sure about.
  • Conducting traceability is always worthwhile: Even if you don’t find many gaps in your program, you will at least gain a high level of confidence that your delivery is focused on the right things.

Delivery readiness key takeaways 🥡

  • Skills Mix is Vital: Assess and adapt team member roles to match their skills and experiences, ensuring they are positioned optimally.
  • Not Everyone Shares the Same Passion: Recognize that not everyone will share the same level of passion for design and research. Make the relevance of these practices clear to all team members.

Sustainability key takeaways 🥡

  • One Size Doesn't Fit All: Tailor methodologies, templates, and practices to the specific needs of your organization.
  • Collaboration is Key: Foster a sense of community and collective responsibility within teams, encouraging shared ownership of project outcomes.

Share this article
Author
Optimal
Workshop

Related articles

View all blog articles
Learn more
1 min read

The importance of roles in making meaningful project experiences

In this post, Daniel Szuc describes why it’s important to go beyond how we may see our roles traditionally when only focusing on job titles. By exploring other roles, as outlined in the post that follows, we can all play a part in helping to glue a team together, making project work easier for all and creating a more positive environment to help in making meaningful project experiences.

Collaboration is hard and needs practice 🙂↔️

“Collaboration” is a term that gets thrown around in workplaces to encourage people to work together better. Sometimes, though, the people using the term may not understand the range of skills required to make collaboration work well, including (but not limited to) listening, expression, empathy, and curiosity.

Each of these skills requires practice.

So asking people to simply collaborate, without understanding the skills required nor the necessary spaces to practice these skills, may well frustrate people more than it helps.

Misalignment 😤

As work hums along in a team, it’s easy for misalignment to creep in. Misalignments are caused by a lack of communication, limited time, poor project management, and micro/macro issues that are addressed too late, causing friction between people. If specific roles are not put in place, these frictions can create difficult work environments, making coming to work unpleasant.

Teams may lack common artifacts to help them communicate with a shared language, which in turn helps connect a project and business narrative together. Importantly, this helps aggregate what a team learns together from customer interviews to help improve a product or service.In effect, there is no light leading the way, so people can get lost in details that have nothing to do with a common and well understood purpose.

Roles beyond a job title 👔

When we speak about roles, we are not referring to traditional job titles such as project manager, developer, and designer, for example. Rather, we mean roles that everyone can play at various points in a project, helping others do their job well and the team deliver on making meaningful experiences.Roles, beyond job titles or the tasks inherent in those titles, help people think in integrated and holistic ways beyond their official job title.

At times, our work requires that we delve deeply into design details; in other situations, we are required to step back and see how all the elements of our work connect in delivering solutions that are part of a broader narrative.As members of teams, we can work more effectively – whether it’s by advancing ideas or in recognizing when it’s time to consider alternative approaches.

Four roles for making meaningful experiences 🎢

We have identified four roles to encourage making meaningful experiences for the team and customers, as well as to encourage integrated ways of working:

  1. Facilitators can define approaches that guide the process of informing, sense-making, and evaluating. They can craft agendas for working sessions and identify what problems need attention. Facilitators can also manage interactions between functions, aggregate a team’s learnings, and map these learnings to shared artifacts. They identify themes that require further study and set goals for the team’s next sessions.
  1. Mentors need to be aware of approaches and skills that require ongoing development and practice, and organize safe spaces in which people can practice, using them over and over during working sessions and across projects. Mentors should work closely with facilitators and custodians to identify the knowledge that the team has captured and map it to a learning program for team members, with a focus on informing, sense-making, and evaluating.
  1. Connectors create artifacts that help bridge gaps and make interactions between people feel more fluid, connecting people’s skills and roles.
  1. Custodians maintain the knowledge base that forms over time and leverage it in creating approaches and courses that help our project teammates to improve at what they do.

Practicing shared skills within roles ⚙️

Independent of whether a person works in management, engineering, product management, design, user research, or some other function, there is a common set of skills of which people need to remain aware: skills that help make our project teams’ collective efforts better.Because there is an intention to integrate ways of working, collective learning makes teamwork effective and results in more meaningful experiences. Working sessions, in which people from different teams or functions come together to solve a problem, provide a common space to focus on that problem, define approaches to help solve the problem, and work through issues together.

A team can identify the skills they practice, reflect on any gaps that may require them to expand their practice, and aggregate their learnings in common artifacts. These then help form and guide a project narrative with which the team resonates or can critique.In understanding the ways in which we work together – in essence, developing empathy for each other – we may see other benefits in addition to the work we produce.One benefit could be to move away from a blind focus on just tools and processes towards a primary focus on how we approach our work together or how we think about problems within the context of a project.

The ways in which we interact with each other suggest that we should look at the following roles, again independent of function or job title:

  1. Informing a problem - What evidence or learnings have we gained to date? What outstanding questions do we need to answer? How would the answers inform the solution to a problem we’re solving now or over time?
  2. Making sense of the data we have - How can we make sense of our learnings as they pertain to specific questions or larger themes that we need to understand and for which we need to design solutions over time?
  3. Evaluating designs - How can we evaluate designs and iteratively improve a product or service and its positioning over time?

Questions for future consideration 💭

  • What roles resonate with you more?
  • What roles do you think are missing?
  • What skills do you need to practice in order to help your team make more meaningful experiences?
  • What skills do you think are missing?
  • What gaps, if any, do you recognize between roles on project teams?
  • What frictions exist on a team and why do you think they occur?
  • How can customer interviews – as one approach to understanding customer stories – encourage constant cycles of informing, sense-making and learning in the spirit of the learning organisation, so to help glue team practices together and create integrated ways of work?

Acknowledgements

Thanks to Josephine Wong for contributing to this piece. For more, see Integrated Approaches to Constant Personal Learning, Improvement, and Maturity.

Learn more
1 min read

5 key areas for effective ResearchOPs

Simply put, ResearchOps is about making sure your research operations are robust, thought through and managed. 

Having systems and processes around your UX research and your team keep everyone (and everything) organized. Making user research projects quicker to get started and more streamlined to run. And robust sharing, socializing, and knowledge storage means that everyone can understand the research insights and findings and put these to use - across the organization. And even better, find these when they need them. 

Using the same tools across the team allows the research team to learn from each other, and previous research projects and be able to compare apples with apples, with everyone included. Bringing the team together across tools, research and results.

We go into more detail in our ebook ResearchOps Checklist about exactly what you can do to make sure your research team is running at its best. Let’s take a quick look at 5 way to ensure you have the grounding for a successful ResearchOps team.

1. Knowledge management 📚

What do you do with all of the insights and findings of a user research project? How do you store them, how do you manage the insights, and how do you share and socialize?

Having processes in place that manage this knowledge is important to the longevity of your research. From filing to sharing across platforms, it all needs to be standardized so everyone can search, find and share.

2. Guidelines and process templates 📝

Providing a framework for how to run research projects is are important. Building on the knowledge base from previous research can improve research efficiencies and cut down on groundwork and administration. Making research projects quicker and more streamlined to get underway.

3. Governance 🏛

User research is all about people, real people. It is incredibly important that any research be legal, safe, and ethical. Having effective governance covered is vital.

4. Tool stack 🛠

Every research team needs a ‘toolbox’ that they can use whenever they need to run card sorts, tree tests, usability tests, user interviews, and more. But which software and tools to use?

Making sure that the team is using the same tools also helps with future research projects, learning from previous projects, and ensuring that the information is owned and run by the organization (rather than whichever individuals prefer). Reduce logins and password shares, and improve security with organization-wide tools and platforms. 

5. Recruitment 👱🏻👩👩🏻👧🏽👧🏾

Key to great UX research is the ability to recruit quality participants - fast! Having strong processes in place for screening, scheduling, sampling, incentivizing, and managing participants needs to be top of the list when organizing the team.

Wrap Up 💥

Each of these ResearchOps processes are not independent of the other. And neither do they flow from one to the other. They are part of a total wrap around for the research team, creating processes, systems and tools that are built to serve the team. Allowing them to focus on the job of doing great research and generating insights and findings that develop the very best user experience. 

Afterall, we are creating user experiences that keep our users engaged and coming back. Why not look at the teams user experience and make the most of that. Freeing time and space to socialize and share the findings with the organization. 

Learn more
1 min read

Clara Kliman-Silver: AI & design: imagining the future of UX

In the last few years, the influence of AI has steadily been expanding into various aspects of design. In early 2023, that expansion exploded. AI tools and features are now everywhere, and there are two ways designers commonly react to it:

  • With enthusiasm for how they can use it to make their jobs easier
  • With skepticism over how reliable it is, or even fear that it could replace their jobs

Google UX researcher Clara Kliman-Silver is at the forefront of researching and understanding the potential impact of AI on design into the future. This is a hot topic that’s on the radar of many designers as they grapple with what the new normal is, and how it will change things in the coming years.

Clara’s background 

Clara Kliman-Silver spends her time studying design teams and systems, UX tools and designer-developer collaboration. She’s a specialist in participatory design and uses generative methods to investigate workflows, understand designer-developer experiences, and imagine ways to create UIs. In this work, Clara looks at how technology can be leveraged to help people make things, and do it more efficiently than they currently are.

In today’s context, that puts generative AI and machine learning right in her line of sight. The way this technology has boomed in recent times has many people scrambling to catch up - to identify the biggest opportunities and to understand the risks that come with it. Clara is a leader in assessing the implications of AI. She analyzes both the technology itself and the way people feel about it to forecast what it will mean into the future.

Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

What role should artificial intelligence play in UX design process? 🤔

Clara’s expertise in understanding the role of AI in design comes from significant research and analysis of how the technology is being used currently and how industry experts feel about it. AI is everywhere in today’s world, from home devices to tech platforms and specific tools for various industries. In many cases, AI automation is used for productivity, where it can speed up processes with subtle, easy to use applications.

As mentioned above, the transformational capabilities of AI are met with equal parts of enthusiasm and skepticism. The way people use AI, and how they feel about it is important, because users need to be comfortable implementing the technology in order for it to make a difference. The question of what value AI brings to the design process is ongoing. On one hand, AI can help increase efficiency for systems and processes. On the other hand, it can exacerbate problems if the user's intentions are misunderstood.

Access for all 🦾

There’s no doubt that AI tools enable novices to perform tasks that, in years gone by, required a high level of expertise. For example, film editing was previously a manual task, where people would literally cut rolls of film and splice them together on a reel. It was something only a trained editor could do. Now, anyone with a smartphone has access to iMovie or a similar app, and they can edit film in seconds.

For film experts, digital technology allows them to speed up tedious tasks and focus on more sophisticated aspects of their work. Clara hypothesizes that AI is particularly valuable when it automates mundane tasks. AI enables more individuals to leverage digital technologies without requiring specialist training. Thus, AI has shifted the landscape of what it means to be an “expert” in a field. Expertise is about more than being able to simply do something - it includes having the knowledge and experience to do it for an informed reason. 

Research and testing 🔬

Clara performs a lot of concept testing, which involves recognizing the perceived value of an approach or method. Concept testing helps in scenarios where a solution may not address a problem or where the real problem is difficult to identify. In a recent survey, Clara describes two predominant benefits designers experienced from AI:

  1. Efficiency. Not only does AI expedite the problem solving process, it can also help efficiently identify problems. 
  2. Innovation. Generative AI can innovate on its own, developing ideas that designers themselves may not have thought of.

The design partnership 🤝🏽

Overall, Clara says UX designers tend to see AI as a creative partner. However, most users don’t yet trust AI enough to give it complete agency over the work it’s used for. The level of trust designers have exists on a continuum, where it depends on the nature of the work and the context of what they’re aiming to accomplish. Other factors such as where the tech comes from, who curated it and who’s training the model also influences trust. For now, AI is largely seen as a valued tool, and there is cautious optimism and tentative acceptance for its application. 

Why it matters 💡

AI presents as potentially one of the biggest game-changers to how people work in our generation. Although AI has widespread applications across sectors and systems, there are still many questions about it. In the design world, systems like DALL-E allow people to create AI-generated imagery, and auto layout in various tools allows designers to iterate more quickly and efficiently.

Like many other industries, designers are wondering where AI might go in the future and what it might look like. The answer to these questions has very real implications for the future of design jobs and whether they will exist. In practice, Clara describes the current mood towards AI as existing on a continuum between adherence and innovation:

  • Adherence is about how AI helps designers follow best practice
  • Innovation is at the other end of the spectrum, and involves using AI to figure out what’s possible

The current environment is extremely subjective, and there’s no agreed best practice. This makes it difficult to recommend a certain approach to adopting AI and creating permanent systems around it. Both the technology and the sentiment around it will evolve through time, and it’s something designers, like all people, will need to maintain good awareness of.

Seeing is believing

Explore our tools and see how Optimal makes gathering insights simple, powerful, and impactful.