The challenge in consistently delivering the “why” and not just the "who" and “what”, is because often times the "how" and "when" during the delivery process are neglected.
Small but high-growth, middle-sized and large companies alike, are increasingly adopting new digital solutions in their research businesses to sustain competitiveness.
Nevertheless, year on year, the rapid change in market demand in response to ever changing consumer behaviour is making it increasingly challenging for research agencies and consulting service providers to find a balance between fulfilling intended delivery quality vs quick turnaround market expectations.
Quality delivery with highly effective strategies and action-driven recommendations building, in fact, requires sufficiently deep and thorough data processing and analyses across various aspects before producing unbiased results. Not forgetting that using the right channels for data collection is equally vital for the analyses and that it’s useful in achieving intended end results.
In reality, it involves a certain level of expertise, structured workflows, quality measures, good communication flows and reasonable timeframes – and these are increasingly being neglected nowadays due to heavy reliance on new social trends and quick data-driven tools available.
It all boils down to what happens behind the scenes..
Simply put, the challenge in consistently achieving best delivery of the “why” (the reasons behind) in the findings in support of the “what” (shown in numbers) is more often than not, caused by the neglect to see the importance of investing in the right “how” (the impact of key capabilities) – on top of the budget and time limitation imposed by end-clients.
When research agencies are forced to work around the clock to deliver, they either need to outsource due to lack of capacity, or they tend to over exhaust their internal resources and manpower – which leaves them with other impacts to deal with, especially for studies that requires more complex structures and resources management : training effort and time, human error management, miscommunication possibilities, bottlenecks control, consistency of quality metrics across all projects…and so on.
While there are many existing standalone tools and data management systems that are built to support research purposes : online survey building tools, anonymous polling channels, panel recruitment services, mobile data gathering apps, dashboard and online report generators…
These solutions do serve their purposes to some extend, yet we still see common struggles that revolves around these tools users in the research industry.
Challenges in the market research industry
- Maintenance of multiple user accounts and passwords across separate platforms or individual online tools
- More time and effort to get used to the different interface designs, system language or terms used, tools or features compatibility
- Unable to move forward (or backwards) to the other steps involved in a complete work flow without the support of other specialized tools
- Exporting or transferring data from one system to another requires specific compatibility rules or it will not work properly, causing loss of data, inaccuracy
- Additional manual efforts in editing and reformatting when compiling data from multiple sources into one consolidated report
- … the list goes on… and these challenges are actually influencing the work culture and daily processes of research providers.
Leverage the benefits of system integration with Checker
Finding the right “how” is as important as closing a deal. Winning a project pitch is just half the battle – delivering the promise is another accomplishment altogether.
Therefore, being equipped with the right capabilities and supporting operation with a systematically built ecosystem of market research tools can potentially make a significant difference to the success of delivering consistently in the long-term.
Here are some key benefits of integrated solution by Checker in overcoming the common challenges in the industry:
Multi-channel data collection
Checker supports various types of data collection methods across multiple touch points – so instead of using different source of program or app at one time, researchers can now build their survey projects and conduct data gathering activities within one place.
This means even the same set of survey questionnaire can be easily duplicated and customised for distribution in different channels – on mobile app, website embedded, or in ads with QR codes, or job board for example.
Plus, due to the integration in nature, the responses from these multiple channels can also be easily tracked and shown as consolidated reports within the same system.
Data unification and accuracy
Checker cloud database stores all data collected from multiple channels in one unified database – making it so much easier to access, track and manage all raw data during the data processing stages.
Subsequently, when it comes to reporting, one can pull accurate information from the same single source for overall reporting and KPI measurements – instead of having each different departments maintaining separate databases, spreadsheets or media files that eventually need to be manually merged together.
This makes the results to be so much more reliable, on top of the quick turnaround since they are all built with similar structure of quality expectations and research process flows, and not involving additional import-export across separate sources in between.
Cloud database visibility
Checker centralised cloud management system enables a more precise overview of the whole organization : resources allocation and operational efficiency Vs productivity goals and business profitability – which is vital for major decision making, planning and action taking.
Checker helps with keeping everyone across the whole project as well as organization level in check, and moving towards a common goal. Key objectives will be easier to maintain and all employees involved will be accountable for their contributions.
Every informal procedures will be formalized and uniformed according to standard operations requirements within the integrated system, thus improving overall delivery quality for all projects and cross-departmental work practices
Synchronization of automation processes
The seamless connectivity across departments through the Checker ecosystem can significantly streamline all research activities from start to the end, which enhances overall productivity as the efficiency level will overcome the barriers of multiple department miscommunications, duplication of effort and human error possibilities.
Checker is built with operational KPIs and goals setting features for monitoring and performance control. By optimising integrated tools for planning, execution and fieldwork progress monitoring, the system motivates each individual roles to stay on track and take actions with clear intentions for quality standard fulfilments.
Improved communication reach
Checker integrated communication tools and self-serving panels work seamlessly together, and can be accessed anytime, anywhere. Automated and scheduled alert notifications serves as reminders for timely action and delivery, while messaging directly from the platform (SMS/email) enables continuous engagements before, during and after project implementations.
Built-in error detectors and faulty control features will trigger actions to be taken for improvement purposes, especially via quality assurance settings within the system for projects, questionnaire, surveyor and employee levels.