The simple path to insights
Many problem solvers — design researchers, consultants – especially early in their careers, find it hard to generate insights reliably. It’s not that they don’t know how to do it: they have seen and created insights before. The fear can sometimes be of being unable to get to insights reliably.
![](https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=225&q=90&w=400&s=76746d1047c3ad37422d033b86e5990a 400w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=337&q=90&w=600&s=b7c8c0700749aa0902fcfab1940d919d 600w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=449&q=90&w=800&s=279980aff5854fd46e263a129a9415cd 800w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=562&q=90&w=1000&s=ab1a9d75b097e17dbb965f1c2298069f 1000w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=674&q=90&w=1200&s=085bcb69d306cb6d2cca3d8270337491 1200w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=786&q=90&w=1400&s=13aa47b184fde708ae726274a8686e39 1400w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=899&q=90&w=1600&s=26810679dfd1c75e82b27f6a4b18151f 1600w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=1011&q=90&w=1800&s=59cd8494b7bd3193330128d9500cebb4 1800w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=1123&q=90&w=2000&s=40b9c435e557ef7720dcf9e448017eee 2000w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=1236&q=90&w=2200&s=732121b8ac3c8b7c7139c8afeeff5bc2 2200w, https://designit-web.imgix.net/images/The-simple-path-to-insights_2023-08-11-133427_vijo.png?auto=compress%2Cformat&crop=focalpoint&cs=srgb&fit=crop&fp-x=0.5&fp-y=0.5&h=1348&q=90&w=2400&s=46ed51fd7b2cd7a746d93af71bf95e99 2400w)
Contact info for Jonathan Kahan
Strategic Design Director,
Madrid
This is because practitioners tend to think of insights as sudden realisations that happen magically when you think really hard about a problem.
This is not the case: there are reliable ways to generate insights. Let’s look at how you can easily picture where the insights sit when you think about a problem in spatial dimensions. Armed with this as a tool, a problem solver can confidently approach any situation and create value.
What are insights?
But before we dive in: what is an insight?
An insight is an “aha!” moment. It often occurs when you suddenly view a problem from a new perspective, allowing you to make connections or identify previously unnoticed patterns.
Simply put, an insight is something interesting.
Every problem has a knowledge baseline, what is known at the start. There are also often preconceived ideas on how new knowledge can be created or where the solution space will be the so-called common sense. So, something interesting either extends your knowledge baseline or challenges common sense. If you’re a consultant, a good insight is 80% of what you get paid for.
![](https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=400&s=39f97064a32d7e4b25511dfe0b103b65 400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=600&s=4e9f6af48894893cef025f701754bb48 600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=800&s=a22532675157d64497b3d284d3a03ff2 800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1000&s=3f7b6ca3309b3ac89114fb8c25576a18 1000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1200&s=c7bcc451af6f9854c3504d021b934b92 1200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1400&s=88f1215f49dfe618f9acb1b04155afc7 1400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1600&s=80a5aaf0b3a35e79beb7893379a6eb7f 1600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1800&s=78354e2d2327faf444181edf22d0c645 1800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2000&s=19af6f7f5f33ab1230a884debf4fbebd 2000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2200&s=02b15f4a217ad3753bf4759a6ff2c6dd 2200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2400&s=8f72a7ccfc0cf6c1b92b9a77aa46fb10 2400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/The-problem-solving-cube.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2600&s=fc8cf78faab7553f70fdebcd4a9e5f4b 2600w)
The problem-solving cube
Let’s visualise the problem as a cube. On the vertical dimensions, you see the core elements of problem-solving: the frameworks, models, variables, and data.
- Models are at the core of problem-solving. A model is a simplified representation of an observed or imagined reality driven by a goal — in this case, solving the problem at hand. Any model comprises an abstract, a-priori part — the framework, and an empirical part, data, organised into variables.
- Frameworks, also known as mental models, result from your previously accrued knowledge about the world. They are generic templates that help you think about a class of problems — e.g., breakdowns, curves, and matrixes. Examples include the BCG matrix, the normal distribution curve, and the Service Design blueprint.
- Variables represent selected elements of reality in your model. In the BCG matrix case, the variables are market growth and relative market share.
- Data, which in this context can be quantitative or qualitative, is the closest part of the cube to the actual, physical world. They’re the values your variables take in the specific instance under observation.
To clarify with an example, you can model a target population using the framework of personas. The variables required include demographics, behaviours, and more, and the data you plug in will result from your actual observation of real-world people. This whole ensemble constitutes a model of that particular population.
The core of problem-solving is the iterative loop of applying frameworks to data and reinterpreting frameworks with new data. You can visualise your work as a problem solver by using a framework for a problem, collecting the data necessary to validate or falsify it, adjusting the framework to the new evidence, and so on until you converge on a model that is both accurate enough and novel enough to generate a good solution.
It goes without saying that developing insights is a core part of this process.
On the z-axis of the cube, you have a simple representation of domains. Your core domain, loosely defined, is the area, vertical, sector or subject within which you’re operating. For example, in developing solutions to help a bank retain its clients, you can define your domain as financial services, digital products for financial services or loyalty-enhancing solutions.
You can imagine this side of the cube to be infinite. All possible knowledge lies on some continuum, and your skills as a creative problem solver are largely based on your ability to move seamlessly on this spectrum.
So now that you’ve visualised the problem-solving space let’s see how you can develop insights.
The three steps to insight
To generate these captivating insights, you can follow a three-step process:
Preparatory step: understanding the knowledge baseline
The first step towards generating valuable insights is to thoroughly assess a project's existing knowledge. This involves identifying assumptions, uncovering hidden biases, and understanding the relationships between various data points. For example, when researching a new product, you have to evaluate the target audience’s preferences, industry trends, and competitors’ offerings. This initial assessment forms the foundation upon which you can build your insights and uncover areas for innovation.
Importantly, for consultants, this means clearly understanding what your client knows. In most cases, you won’t be able to accumulate the knowledge your client has built up over the years in the timespan of a project. That’s fine and expected. But it’s essential to understand:
- What is the client’s known and unknown unknowns? Known unknowns are typically the ones they pay you for; real value, though, often lies in uncovering unknown unknowns. The best way to do this is by reframing the problem statement — you can read more about that here.
- What is project common sense — where does the client expect that solutions will come from? Delivering a good solution will often involve challenging such common sense — but not so much as to cause outright rejection.
Getting to insights — approach 1: diving into the data
![](https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=400&s=531595622028e99bbc6cc7a3434428d9 400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=600&s=c258e26ad81d26f8a7f2fc23aad9cf5e 600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=800&s=4e24c9c5e58cfc15d505370402550907 800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1000&s=2b3bd3378f21f4ae2614a1953af64348 1000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1200&s=83c9c9bf40aceb88981642693b842c62 1200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1400&s=faed151075066d5267dfc30e2d8539e0 1400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1600&s=4fe8197fa6d7e6bdceb0b00c44883189 1600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1800&s=1b4c9299259f2e9cca3592a2f560c6b1 1800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2000&s=420d39a5bbccc2b411081a7a0ae74c84 2000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2200&s=02e32cb869bdb9ecb3eda3a91ada2e43 2200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2400&s=93c4d2688214e77dfe79d38a2fec1559 2400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-1-diving-into-the-data.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2600&s=471f6336443908fde005b56c69bc7440 2600w)
Step 2: Analysis
With a comprehensive understanding of the baseline knowledge, you can delve deeper into the data through three primary avenues:
1. Exploring data: zooming in
This is the most obvious approach, but it’s important. It involves collecting new information or examining existing datasets more closely. For example, a company looking to improve customer satisfaction might conduct surveys and interviews to gather additional feedback or analyse existing customer support logs to identify recurring issues. Consultants will routinely start a project by ‘crunching some data’ in their dataset or doing exploratory data analysis. The type of things you’ll be looking for will change from project to project, but some of the key questions to ask could be:
- What are the average values in your dataset?
- How widely spread is your data?
- Why are there outliers? What do edge cases have in common?
- What are the trends in a time series? What do they depend on?
- Is there any sign of Simpson’s paradox?
In the cubic project space, you’re looking at a vertical downward movement: unpacking data to uncover insights.
Getting to insights — approach 2: using different frameworks
![](https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=400&s=134fe5d7aa77e5cc57882f663ce7a460 400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=600&s=292761723c1032cceb476394006ebb60 600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=800&s=6825f250699b1ec57cf6408c9afaa667 800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1000&s=ffdf4eb6edfe48c1673cefc8ae36f788 1000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1200&s=0a12034e5026cd076afa080330c35da0 1200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1400&s=059e8ca31b77ffd64b8f8047c3e6ec43 1400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1600&s=448f49ff736d563c5f634028c45828f3 1600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1800&s=9ad870c8be9c1ac42407f736f4a9b1db 1800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2000&s=534fda2b6dac61883e04cb2749bd0464 2000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2200&s=f606f7645dc34e1882249074d7ad1f67 2200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2400&s=0d4db342071a249c393416d17872253b 2400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-2-using-different-frameworks.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2600&s=30b49778db55ccc2ccc55a4e4a2f23f7 2600w)
2. Applying different frameworks: Moving up and down
A potential game changer is viewing data through different lenses, like taxonomies, explanatory models, or predictive tools, which can help you gain fresh insights. In the context of the retail project, a taxonomy could be used to categorise customer complaints by type; an explanatory model might illustrate the relationship between staff performance and customer satisfaction, and a predictive tool could forecast the impact of proposed solutions on future customer satisfaction levels. In a manufacturing setting, a consultant might apply a ‘lean manufacturing’ framework to identify areas of waste and inefficiency; they could also think of eliminating waste completely through circular manufacturing.
Here the key is challenging the project’s common sense by applying unexpected frameworks.
In the cube, you’re looking at a vertical up-and-down movement: you have a dataset, which is, by default, sliced according to an existing framework. You move up two levels and ask yourself which other frameworks could make sense of your data.
Naturally, to facilitate this step, it helps to know a lot of frameworks. This can be learned in time, but there are cheats. Check out this collection of 500+ frameworks as an example.
Getting to insights — approach 3: finding similarities with different domains.
![](https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=400&s=e0e3ac7b97d342d73b95996ac60eefab 400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=600&s=e7adb2ff40e57218c2ec34e5c9b0811d 600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=800&s=05d55614537c41ce1bb50e2e6f524848 800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1000&s=cb7e9833635cc1dd3c5f70f562c99e66 1000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1200&s=03a66be6eb4161d6408bc8146037219d 1200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1400&s=bb280ef9a1514b9357d6f7abebcc56de 1400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1600&s=92c9d4777c4f1f1a52e9083c53e08305 1600w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=1800&s=1a1b8657141fc9b2ae51bc68aa8edb88 1800w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2000&s=9e1c513a6aa8bf06134caf361eeb59ee 2000w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2200&s=36ec5b7b99e4d29ca52c91bbdca46f52 2200w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2400&s=18606f5c1954b048a9db16e5a7b08805 2400w, https://designit-web.imgix.net/images/Point-of-view/The-Simple-Path-To-Insights/Approach-3-finding-similarities-with-different-domains.png?auto=compress%2Cformat&cs=srgb&fit=clip&q=90&w=2600&s=68f4d3b0ed4fd73ac3e2c47799a70391 2600w)
3. Drawing parallels: Moving sideways
Uncovering connections between seemingly unrelated contexts or sectors can also yield valuable insights. For example, the retail team could examine customer satisfaction strategies employed by successful companies in other industries, like hospitality or e-commerce and adapt these strategies to suit the retail environment. A healthcare provider aiming to improve patient experience could draw inspiration from the hospitality industry’s focus on customer service and adapt those principles to their context.
Here you need to tread carefully: depending on the client, you could risk confusing them. But you also have the highest innovation potential.
On the cube, you’re starting from your framework and moving sideways into extended domains of the problem.
Step 3: Insights elaboration
So, let’s say you apply your analysis methods individually. How do you know when you’re onto something? The simple answer is when you say “Aha!” (Or when you think your client might say it).
The insight has to be:
- Non-obvious
- Generalisable — besides rare exceptions, the insight needs to be telling you something beyond itself.
- Actionable — you need to be able to do something about it
So, when fleshing out an insight, you need to make sure you’re adding a ‘so what’ — why is this important, and why does it affect the project?
Here are a few additional tips on where to look for insights within the problem-solving space:
- Look for edge cases. Averages are typically well-known. Outliers and edge cases, on the other hand, are often surprising. The big question, of course, is how important they are as a signal.
- Look for contrast. Many well-known macro-trends contain counter-trends that are sometimes the result of some maverick doing things differently, but that can also be an early sign of a pendulum swing.
- Look for anecdotes. While statistical relevance is essential, even anecdotal or non-generalisable findings can offer valuable insights. For instance, an innovative solution adopted by a single company in a different industry might inspire a ground-breaking new approach in another field. The key is to remember that innovation often stems from what is not average or mainstream and that providing compelling examples to support your insights is crucial for their effectiveness.
Insights generation as a teachable skill
The ability to generate insights is a skill anyone with the right approach can cultivate. By systematically evaluating the knowledge baseline, analysing data from various perspectives, working on frameworks, and elaborating on tensions and gaps, you can unlock the innovation potential and empower individuals to contribute meaningfully to their fields. With this framework in hand, you can more confidently embark on innovation projects in the full knowledge that insights are somewhere out there, and they will come out.
Interested in learning more about the spatial approach to problem-solving? Reach out to our Strategic Design Director, [email protected].