Could a new approach detect the early warning signs of radicalism in a way that ordinary research, surveys and intelligence gathering couldn’t? Or spot when programmes to reduce re-offending aren’t working?
In this guest blog, Andrew Moore, chief operating officer at DAV Management, whose customers include large public and private sector organisations, explains why government research into complex situations, such as the causes of the recent riots or making offender management more effective, requires a different approach that goes beyond supporting preconceived hypotheses to give new insights and fresh perspectives, and crucially, offers a means of detecting the early signals of situations that are developing in communities which can either be encouraged for the wider good or damped down before they can pose a threat.
Improving the Citizen Experience
An innovative approach to surveys and research
There is a currently a great deal of interest within government circles to determine how best to engage with its various stakeholders in different, more effective (and understandably less expensive) ways.
There’s the Big Society, the attempt to establish ‘happiness’ as a measure of the nation’s wellbeing (rather than just good old GDP), the need to engage citizens in a more direct and effective manner, with services designed around them rather than the structure of government. In addition there are specific events that trigger the Government’s need to interact with sections of the population, such as the recent announcement by Nick Clegg that he wants to engage with communities affected by the summer riots in England, in order to understand who did what and why. Then there are the government’s internal stakeholders – its employees, with whom it is seeking an altogether more symbiotic relationship – devolving power to the people on the front line who frequently know how to run services in a more effective and efficient manner.
‘Mutualisation’ and ‘Third Sector’ are terms that I suspect everyone is likely to become more familiar with over the next few years, even if now they may require some defining. The long running debate about the future of the NHS is a very good case in point. And there’s the stated desire to get SMEs delivering innovation as part of effective government procurement. As an interesting adjunct to this, let’s not forget that employees are also citizens, creating a fascinating cross-over of interlinked perspectives.
Of course there are other groups who may be thought of as stakeholders and these will have a very specific perspective on the delivery of public services. I’m thinking here of offenders – those serving their debt to society and for whom the government is seeking ways to improve rehabilitation, reduce re-offending and become much more effective at identifying those most susceptible to radicalisation, extremism or self-harm. This of course has been brought into sharper focus by discussions over the severity of post-riot sentencing.
All in all, this represents a hefty agenda of public services reform and one which will test the government’s strategic planning and policy implementation ability to the max. With such degrees of change being considered, it is encouraging to hear that government is embarking upon a listening exercise to garner the views of citizens, employees and service users, as some recipients of public services are now known. Understanding what people want in order to deliver services they will use is a laudable objective, but what a task this must represent. How on earth do you make this achievable? Consider for a moment the potential population sample. What constituency would you choose? How do you get people to participate with sensible and meaningful responses?
Even if you can get all this feedback, how do you make sense of it? How would you store, manage and interpret the sheer volume of data, relating to so many different aspects of life and stakeholder groups? How could you be sure it doesn’t end up as an exercise designed to prove (or disprove) preconceived positions? How would you spot the things that you don’t recognise – the identification of a strong belief system (that could make or break any changes in the way public services are delivered); the early signs of a rise in community ‘temperature’ that could lead to the kind of civil disorder witnessed in cities across England during August this year; or the indicators that some offenders are significantly more willing (and likely) to rehabilitate under certain conditions? I could go on but I don’t want to labour the point.
It’s clear that in an exercise that will fundamentally change how most people interact with both central and local government, it makes sense to give those people a voice. But this has to be in a controlled and manageable way, so that it is quick and easy to understand what that voice is telling you; gaining truly unique insights and fresh perspectives from which actionable decisions can be made and monitored that make a real difference to people’s lives, be they citizens, employees or service users – or, in some circumstances, perhaps a combination of all three!
Making people part of the process in this way is also an effective way of getting buy-in. People are more likely to feel engaged, even if it’s by proxy (i.e. evidence of meaningful consultation establishes a degree of credibility) and by its very nature, changes the basis of the relationship between government and those stakeholders with whom it is seeking to engage.
So what’s the point in all this, why are these things being suggested as anything new? After all, the idea of planning, shaping and delivering services against a well-defined need is surely common sense and is recognised as such by most people. Well, as they say, the problem with common sense is that it’s not that common. The truth is that the kind of knowledge and insight that is likely to be required by government in order to shape and deliver its vision for public services, is difficult (if not impossible) to gain from traditional methods and technology. A different approach is required.
What if you were able to poll large samples of the population on a variety of different topics and have the findings presented to you quickly and simply, in a way that wasn’t mediated by ‘experts’ and allowed you to interact directly with the data – at both a quantitative and qualitative level? What if you were able to see things that you hadn’t expected; things that blew away commonly held perceptions about citizens or employees – giving you a clear and substantiated view of how people are feeling, what they really think of particular programmes and initiatives and how they are responding to specific policies and interventions? Imagine being able to detect early opportunities to take action on a particular initiative that enabled you to maximise the benefits downstream or damp down a threat before it was even recognised as such.
It all sounds too good to be true, but advances in cognitive based solutions, using micro-narratives (snippets, stories, reports and other qualitative data) captured from samples of your target ‘audience’ and self-indexed by them to provide meaning from which incisive action can be taken, are turning these scenarios into reality.
The problem for strategists and policy and decision makers is that the environment in which they are operating is hugely complex; there are many small causes that interact and interweave to produce an end result, but no one cause is dominant. The whole environment is continually adapting and changing and you can’t measure it at a point in time – it’s constantly evolving. This is what’s known as a ‘complex adaptive system’. It’s the kind of environment where outcomes are difficult to predict. It’s highly sensitive to small changes, meaning emerges through interaction and, with the benefit of hindsight, you might be able to see where, when and why things have happened and how you could have dealt with a particular situation, but at the time it was erratic and novel. Sadly, hindsight does not lead to foresight and processes to prevent a similar situation occurring next time will fail, because the next time things will happen differently. The August riots in England were a perfect example of this scenario, where multiple small, erratic events interacted and evolved to produce a disproportionate, unpredictable and, in this case, catastrophic outcome, which the government is still trying to understand the cause of.
Complex situations frequently occur when you are dealing with people because they are inherently unpredictable and often driven by emotion. The bad news for government is that, one way or another, people are at the heart of all of the major change initiatives and civil events that are currently under the policy spotlight. You begin to get a sense for the scale of the challenge. Not an overnight thing this. [By the way, if you’re having difficulty getting to grips with the concept of a complex adaptive system think of mayonnaise. If you’ve ever tried to make this from scratch you’ll know how uncertain it feels as the ingredients combine and the mayo gradually emerges. One slip and it will curdle, the end result is never the same and it can’t be reverse engineered].
Fortunately, when trying to get to grips with a complex situation, a cognitive approach again comes to our rescue. It enables us to probe the situation, sense what’s happening where and why and then respond accordingly. It’s liberating for policy makers as it opens the door for innovation, enabling organisations to try things and see what works best in particular situations. Fast feedback loops promote a low-risk, ‘safe-to-fail’ environment where those ideas that aren’t working are quickly identified and turned off, enabling us to get behind those that are delivering tangible results. In this way, new services and new ways of working can evolve, meaning that the end result has a much higher chance of widespread adoption and, hence, long-term success.
The really good news for government is that game changing solutions of this type are really in the sweet spot when it comes to getting ‘more for less’, as today’s economy demands. The levels of investment required are a fraction of the amounts that have typically been associated with major government change initiatives. They are also much simpler to implement and run. Once set up, data capture, analysis and reporting can be built into an organisation’s day to day operational processes, supporting (and stimulating) how it interacts with the citizens or service users it serves, or the employees it depends upon for the delivery of those services. For example, making it part of how Offender Managers (previously known as Probation Officers) interact with offenders to try and reduce re-offending would be an excellent way to capture how the latter group is responding, say, to changing institutional attitudes and behaviours, revealing to what extent infantilisation (i.e. treating offenders in a condescending manner, as if still children) is being reduced.
A recent case in Canada illustrates how the solution can be implemented to improve the delivery of healthcare services. In this instance, the authorities in British Columbia initiated a programme to help them understand the perspectives of all parties implicated in the unfortunate death of an elderly patient. This had resulted from a breakdown in communication and subsequent decision making following the patient’s admittance to hospital suffering from congestive heart failure. Not unusually in these circumstances the single, sentinel event of the patient’s death was seen from very different perspectives by the various groups involved. By adopting a cognitive based approach the authority was able to bring together front line and management staff to make sense of these conflicting perspectives and, as a result of the unique ‘safe-to-fail’ experimentation techniques supported by the approach, it was able to trial and subsequently implement changes in both policy and service delivery that will not only help to prevent similar incidents occurring in the future but also raised the quality of healthcare provided to patients more generally.
Just think how powerful such an approach would be for Nick Clegg in his quest to understand the complex human behaviours and emotions that came together to fuel the aforementioned riots in England. And to have this at your disposal not only as a platform from which to take decisive action now but also to generate alerts when the ‘community temperature’ again begins to rise, must surely present a huge opportunity that any civil authority worth its salt would want to take advantage of. Instead it would appear that research initiatives are being launched by those with an interest in understanding and curing society’s ills that, albeit well-meaning and based on credible empirical evidence, may still ultimately turn out to be incomplete. My concern would be that if a traditional research approach is adopted to try and make sense of what is essentially a complex situation (as I have defined above) then such initiatives risk revealing only those things that are readily recognisable and, having been mediated by ‘experts’, support preconceived hypotheses. They are likely to miss the opportunity to discern unexpected findings arising directly from the contribution of the people affected by (and involved in) the riots and fail to detect the early signals of situations that are developing in those communities, which can either be encouraged for the wider good or damped down before they can cause further unrest. Addressing these issues by adopting a cognitive based approach will provide a much more effective feed into future policy decisions and social interventions.
If you’re new to the concept of cognitive based solutions it can be a bit of a challenge to get to grips with how they work and just what they give you, but once you’ve experienced the power of the knowledge and understanding that they deliver, you start to see applications everywhere you look. The big advantage is that it’s easy to get started with low-cost, low-risk pilots that can start to make a difference to any organisation in a very short space of time.
To learn more, visit http://davmanagement.com/default.asp?id=833&ver=1
Contact Andrew Moore at firstname.lastname@example.org
Or call +44 (0)1189 974 0100
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