Author Archive

Revelation reviewed

In Brief

What it does

Online qualitative research environment for asynchronous or bulletin-board style depth interviewing, discussions and auto-ethnography, allowing research to take place over several days or even weeks. No special software or plug-in is required to participate.

Supplier

Revelation Inc., Portland, OR

Our ratings

Score 5 out of 5Ease of use

Score 4 out of 5Compatibility with other software

Score 4 out of 5Value for money

Cost

Single project licenses start at $1,500 US.  Discounts available for larger volumes, annual licenses and longer projects (3 months+).  Helping Hands project support and translations are costed on a per-project basis.

Pros

  • Daily activities can be set up in advance and launched automatically
  • Participants can blog, view stimulus material and upload content using any browser
  • Integrated translation service for discussion guides and transcripts
  • Full transcripts easily exported at any time

Cons

  • Discussion groups lack versatility
  • Can be difficult to analyse quail-quant type pre-coded questions
  • Can be overwhelmed by emails from a busy board
  • Currently cannot personalise the welcome email text

In Depth

Online qualitative research does not need to be a pale imitation of conventional face-to-face groups and depths, and it is better not to try. Revelation is a piece of web-based software that provides a rich environment for qualitative researchers to design Internet-age research projects that play to the strengths of the medium. Respondents tend to welcome the convenience of being able to participate whenever they choose from the comfort of their own home or office. Researchers and client may enjoy the same, but more importantly, by moving beyond the temporal and spatial constraint of the single-point-in-time group, they may find they get richer and more considered insights.

A Revelation group can take place over several days, or even weeks, with new questions or exercises being presented on a daily basis. Participants can be encouraged to contribute much more in the way of content, taking the focus group into the realms of auto-ethnography and co-creation. Revelation allows you to decide, for each question you ask, whether the responses are to be visible to others – before they respond (“influenced”), only after they respond (“uninfluenced”) or even withheld from all but the moderator and any client observers (“private”).

The way the software works as a researcher, is that you log into your account on the Revelation server and create a series of activities for your respondents to take, building different tasks from a toolbox of stimuli. You can cue them exercises to start on different days, and if you are planning some kind of diary activity, an exercise can be made to repeat. You can build an exercise very simply from a toolbox of components.

There’s everything you would expect there, from open questions and closed, pre-coded questions, places to provide descriptions, welcome texts and explanations, cues to present any multi-media stimulus material you may wish to display and questions where you request an upload of a photo, document or even a video. You could simply present a series of open questions each day or you could lead your participant through creating an daily blog illustrated with photos they have taken of their actual experiences. Either way, you can also probe away to your heart’s content, and even change the direction of the research part way through.

The software also lets you manage your participants, send out initial invites and get them to fill out a short profile survey, which you can customise. You can also import participant lists from Excel. Projects are divided into segments, which you can use in multiple ways: to divide your participants into smaller subgroups, assign them to different moderators or to assign different tasks to different subgroups.

The respondent interface presents some very simple tabbed areas to view – things to do, things already done and direct messages to or from the moderator. This and all the interfaces have a very pleasing “Facebook era” design which make them pretty much self-explanatory.

As a moderator, is very easy to track participation, view all the new content, add probes and send email reminders or messages to participants that don’t seem to be logging in.  You too will get emails whenever anyone completes one of your tasks – if you are running several large groups, their can be a tidal wave of emails coming your way.

Revelation also allows you to conduct discussion groups online. Here, I found the software to be a little less flexible. It forces you to divide each discussion topic into a series of different tasks. You follow up any point with a probe to that individual, but the tool currently lacks the ability to ask follow-up questions of the group as a whole, or simply open out a probe to everyone without setting up an entirely new discussion task.

In the current version, there are some other minor niggles, such as not being able to personalise the welcome email, and it not being very easy to output and analyse or present the answers to closed questions. However, in the piece of research I used this for (a group among six IT professionals), I was astonished with the quality and clarity of the responses I got. Going online clearly cuts out the waffle, as respondents draft their responses carefully, and consider what they are saying. The result is data that is relatively easy to analyse with very little padding to cut away.

It would be wrong to consider this method a replacement for all groups or depths, but it does provide a credible alternative, and this software certainly encourages creativity in the actual research design.

Client perspective: Claire Dally, GfK Automotive, London

Claire Dally is a Research Manager at GfK Automotive in London, and has recently completed a multi-country study of over 190 people across 15 participant groups using Revelation.

She describes her experiences: “Revelation is very intuitive, easy to use and has a visually appealing interface.  We took advantage of the Helping Hands package, where we were given a dedicated member of the Revelation team to guide us through this multi-market project and set up some of the scripts. They were extremely supportive throughout the whole process.  We also used their translation service and found the quality of the translation was excellent.

“A transcript created during a Revelation session will often be much longer than that of a focus group, because respondents generally have more time to consider their answers and to write down their opinions in detail.  With online qual I find you need to recruit double the number of respondents you actually need.  There are a number of reasons why you lose people: sometimes they are not available during the whole fieldwork session; others may lose interest along the way.

“You do lack some of the rapport you gain face-to-face.  Participants log on at different times, so you don’t necessarily get the chance to probe on things straight away, and therefore you can lose momentum.  However, there are ways of building rapport; you need to invest some time in the start of the fieldwork warming up respondents, and making sure you keep on top of each person’s response, so that they feel someone is reading their comments.  Participants can also upload photographs or videos to illustrate their ideas.

“Clients find the software easy to use too.  They are able to log on as observers, watch comments being made in real time and suggest probes via the moderator.   This means that clients feel really involved in the moderation process and that all of their questions are being addressed.  However, Revelation is not suitable for all types of projects.  If your client wants participants to view confidential stimuli, you have no guarantee that any material tested is not screen grabbed, copied down or viewed by others.

“Participants also find the experience very positive too; they are able to log on at a time suitable for them, and many have commented about how much they have enjoyed taking part.  You can be slightly less structured in your approach, allowing the topic guide to evolve over the fieldwork session, rather than relying on a pre-determined list of questions.  New questions can be loaded up on a daily basis if required.

“It is a cost-effective way of running online qual.  You can bring together participants from different locations without needing them to be in one place at the same time.  For less than the price of a UK focus group of eight respondents you could run a Revelation session of around 20 participants.  Our clients are becoming increasingly interested in online qual and we believe that this interest will only become stronger in the future.  We’ve been very happy with this software and what you can get out of it.”

A version of this review first appeared in Research, the magazine of the Market Research Society, April 2010, Issue 527



Marsc.net 1.1 reviewed

In Brief

What it does

Web-based panel and sample management tool, based on a subset of the most useful features in the desktop/server version of the MARSC sampling software.

Supplier

MARSC Ltd

Our ratings

Score 4.0 out of 5Ease of use

Score 4.5 out of 5Compatibility with other software

Score 4.5 out of 5Value for money

Cost

Prices start from around £175 per month for a small-scale operation, plus hosting fees if required; £250-£300 per month for a mid-scale operator with multiple panels. Price determined by volumes.

Pros

  • Allows precise targeting of samples with extremely accurate incidence calculations and estimates
  • No limit on size, demographics or history kept
  • Can reuse sample jobs to draw fresh samples, create ‘favourites’  and define default sample templates
  • Provides resources for creating multiple panel members’ sites

Cons

  • Does not support non-interlocked (margin defined) quotas yet
  • Some reports rather cryptic and confusing
  • Windows and IE only for admin interface
  • Panellist portal module needs programming skills to configure

In Depth

MARSC has always been the heavyweight among the sampling and panel platforms, but now a new software-as-a-service version of the tool has emerged with the aim of lowering the bar to entry. It makes it easier to get up and running and offers something of a break on the price too, which should appeal to the smaller-scale operator.  Just how useful this is will depend on how sophisticated your requirements are, but if you need something with all the bells and whistles, the desktop and server-based MARSC is still available and being developed.

These days, most users tend to look on MARSC as a panel management tool but wasn’t always that way: MARSC started out as a sophisticated sampling tool to allow corporate research clients to draw balanced, quota-controlled samples directly from their own CRM databases.  It was a program that was in the right place at the right time when researchers realised that the most efficient way to do research online was to have a panel of pre-screened, actively managed respondents over which there was a known pedigree, both in terms of demographics and past participation.

MARSC maintains its own database of contacts and therefore, compiling and revealing all of this history is second nature to it. It is not an interviewing system – to use MARSC you will also need survey data collection platform, though it is agnostic about which one, and supports SPSS Data Collection and Confirmit directly, and many others via Triple-S.

The new .net version rationalises the process of sample selection by setting out all the options across six tabbed screens. You start by stating who you do want – referring to any of the profile variables in your panel, overall targets and incidence estimates. In the filters tab, you set exclusions, which can also be on demographics or past participation, such as people who have already received a survey invitation to another study in the last two days, or who have been interviewed on a previous wave of the same study in the last year.

In the third tab, you choose the variables you want to pass across the interviewing system, and in the fourth one you define your quotas – the quota targets you are aiming for. While you may also need to reinforce these with quotas applied in the interviewing module, a great advantage of MARSC is that, over time, it can build up very detailed response history and it will use this for each sample segment you are selecting, to predict just how much sample you need to quota target without over-inviting respondents or wasting sample.

The fifth screen handles notifications – who the reports of the sample jobs get emailed to, and last one ‘properties’ (misnamed in my view) which are not job options but the metadata for the job – the type of project, its name, who is the client and the exec, and also where you specify the reward points for participation.

All of this set-up is saved as a job, which you can give a name to and save in a folder structure that is always visible on the left of the screen. Once a job is saved it can be queued for execution, when it will draw a sample and mark them in the database as having been selected for a survey. You can also do a trial run, when it will simply report on what it would draw – a useful prior step in ensuring you do have enough sample to run with.

Saved jobs can also be stored as “favourites”– a nice web-like touch. Indeed, generally, the program has ported well to the web environment. However, the report displays could be improved as they present a mass of data and tend to use rather cryptic two-letter codes as column headers taken straight from the desktop version, whereas so much more is possible using dynamic HTML on the web.

The respondent portal is a vital part of the panel management tool, and MARSC provides a versatile portal module and set of tools for configuring it. The module is common to desktop and .net versions. In this, participants can update their profile, review what surveys are available for them to take, review and redeem incentive points and so on. The tool is designed for those with developer skills, however – sadly, there is no simple a point-and-click interface for creating or customising panellist portals, which the SaaS user is likely to expect and other systems now provide. Those without an in-house web programmer are likely to need to buy some consulting services from MARSC to get set up.

MARSC say that it is their intention in time to move all of the desktop functionality over to  the .net interface – at the moment, it lacks a handful of the more advanced features, the most serious one being the ability to interlock quotas, where an iterative model is used as a direct counterpart to using rim weighting on tables. MARSC.net won’t appeal to everyone yet, but it does go a long way to democratising efficient panel management by making it available to smaller operators without the expense of dedicated servers and teams of specialist programmers.

Client perspective: Robert Favini, Research Results, Massachusetts, USA

Research Results, a research company in Massachusetts, uses desktop MARSC to host a number of custom panels for clients in a number of consumer sectors incuding the entertainment industry.  Robert Favini, VP Client Services discusses some of the changes that MARSC has enabled.

“Originally, we had had our own internal systems with screener surveys attached which we used in a rudimentary way to pull sample, but it was a bit of a patchwork of things and wasn’t very sophisticated.  About three years ago we started to look at what other people were doing, and we came across MARSC. Shortly before that, we had also had decided to use SPSS as our main survey authoring environment, and as the two tools fit together really seamlessly, that was a big draw for us. As a result, our level of sophistication in what we can offer to our customers for managed panels has jumped up a lot.

“Our clients need something very robust because often they are doing quite a lot of analysis on the data that we provide. With our home-grown tools, the problem we were having was compatibility. This has a nice agnostic format that talks to everything.

The full implementation took place over a two-month period, including converting all of the data, though setup and training required only a few days.

“It was relatively easy to get it up and running: we had a couple of training sessions and someone from MARSC came over to work with our in-house developers. They are in the industry so they are aware of what we are trying to do and use the same terminology as us.

“About the time MARSC came along, I think the industry started using sample in a different way. Gone were the days when people would happily take surveys – we were having to use sample much more carefully. What we were looking for with MARSC was something that would use sample wisely, and let us treat it as a precious resource.”

“What we found was that as we used it, we appreciated it more and more. We like its ability to gain intelligence within the panel. We find we can target sample really precisely, and the incidence calculations it provides – the ‘guesstimates’ of how much sample to broadcast – have been phenomenally accurate. The bottom line is we are not over-using sample: we are basically being very efficient, which is where we were looking to be.”

Robert welcomes MARSC’s strategy to migrate the product to the web, although the lack of interlocked samples along with some other advanced features make it unviable for his firm yet.  “We’d still be interested in using a web-based product because of the portability it brings. Sometimes we have staff scattered all over the place and at the moment we have to use VPN to give them remote access. It would be useful for client users, but we too would like to have that bit of greater flexibility to be able to work out of the office.“

A version of this review first appeared in Research, the magazine of the Market Research Society, March 2010, Issue 526.

The curse of seeing everything

Model of brain activityFrom Research 2010, MRS, London, 23-24 March 2010

A major issue with post-modern research methods, or ‘new MR’ as it is sometimes called -  a recurrent theme at the Research 2010 conference – is the amount of data and consequent effort that goes into extracting any meaning from this data. This came home in the new technology session, chaired by Robert Bain and billed as ‘Research Unlimited’.  Not that any of the technology being presented was essentially new – naming the session “incremental developments in technologies based around memory and newly applied to market research” may have added precision, but not made the message any clearer.

The pursuit of clarity should be at the heart of any new methods – and that is a challenge with two of the methods showcased  based on neurometrics – from Nunwood’s head of R&D Ian Addie and Millward Brown’s new head of ‘Consumer Neuroscience’, Graham Page. Page is probably the first MR staffer to have the N-word in their job title.

Neurometrics

Improvements in EEG measurement and analysis technology  make the approach more affordable and slightly more applicable to surveys in the real world, but they still have a long way to go. The electrode caps and camera-rigged spectacles modelled on stage by Addie, and even the slimmed down version shown by Page, are still pretty clunky and intrusive. Addie also cautioned that ‘noise’ in the data collection meant that 30 per cent of the data they had collected had to be discarded.

Positivism with a big P

Both speakers showed that this kind of data can aid understanding, and can usefully cast a new light on some deeply held assumptions about consumer behaviour, which is no bad thing. Nunwood respondents who had been wired up with electrodes for supermarket visits had revealed that a significant amount of time in selecting products seemed to be spent in rejecting other projects – not something that is much questioned in conventional recall studies. As research was busy going po-mo in other sessions, this looked like a rallying call for Positivism with a big P.

Page cautioned: “Hype means it is very easy to get carried away with exaggerated claims [for neuroscience]. The results don’t stand on their own: you have to combine this with something else.”

Not only that, but you quickly accumulate a vast amount of data that takes time and effort to process. Furthermore, to give any meaning to it, you must be applying the qualitative judgements of the researcher or neuroscientist. This additional burden was also true of the other novel method in the session. Here, Bob Cook from Firefly presented an interesting extension to diary research – particularly those studies that lean towards the auto-ethnographic – with a methodology based on Lifelogging, or ‘glogging’ using a small fish-eye camera worn by the participant around their neck. This can take a shot and capture everything the respondent sees, paced out at minute intervals throughout the day. Cook reckons it can overcome the usual problems of incomplete recall that can arise over the more mundane and automatic activities respondents may be asked about.

Making sense of the data

The problem, in trying to move such techniques into the mainstream, comes at the analysis stage. To get meaning from these techniques takes extraordinary effort – and they are not amenable to the analytical methods conventionally applied to either qual or quant. We’re not usually short of data these days, but we are short of tools to make sense of these new streams of data. Without them, analysis is inordinately time-consuming. Technology makes it easy to add precision in volumes, but with all these new methods, it falls heavily on the researcher to bring out the message.