Issue Two: Research Methodology
Before diving into the design of a new tracking program, it’s essential to perform a comprehensive review of all existing ongoing research, internal data, and third-party data. This holistic evaluation helps identify what information is already available, ensuring the new program complements and enhances this existing base. This strategy minimizes risks such as insights confusion, redundancy, and the unnecessary use of budget and resources.
When selecting research methodologies, it’s vital to weigh the pros and cons of using a supplier’s proprietary “black box” methods versus developing bespoke methods or simpler approaches. Key considerations include the supplier’s expertise and the availability of benchmarks versus the flexibility of the program to evolve with business changes.
For ongoing studies, a thorough evaluation of the current KPIs, their usage, and their business impact is necessary. If a complete overhaul isn’t feasible, establishing a parallel data collection and calibration plan can help transition smoothly without losing valuable insights.
In sample design and the development of research instruments, the focus should not merely be on the methodologies but on what the research aims to address and the required accuracy levels for the business. Engaging with partners in this phase can harness their innovative thinking and expertise, leading to more effective outcomes.
Issue Three: Instrument and Sample Design
The design of the research instrument is critical, whether for launching new studies or updating existing ones. For new projects, the challenge lies in creating an instrument that meets the objectives without becoming overloaded with tangential business queries. It’s crucial at this stage for the team to resist incorporating “nice-to-have” questions that could dilute the focus on essential data.
Once operational, it’s important to keep the instrument aligned with business objectives. An annual review should be conducted to remove outdated questions and integrate new priorities. This process ensures that the tracker remains relevant and focused.
The design of the sample also demands careful attention. It’s not enough to set demographic quotas or cleaning specifications. Since all sample sources carry inherent biases, a consistent blend of sources is crucial for maintaining the integrity of the tracker. Although it’s impossible to completely eliminate sample bias, consistency in sources helps in accurately measuring ongoing changes.
Issue Four: Insights, Reporting, and Communication
The success of a tracker not only relies on a robust analysis plan built around the objectives, methodology, and key performance indicators (KPIs), but also heavily depends on how these insights are presented and communicated to the business. Traditional PowerPoint presentations can become cumbersome and dull over time, while static scorecards, although useful for displaying high-level KPIs, fall short when addressing deeper business issues triggered by shifts in these indicators. In the current dynamic business environment, the most effective method for delivering tracking information is through interactive dashboards that are tailored to the specific needs of each stakeholder. These should be complemented by a periodic communication plan that integrates the tracker with other recent insights, explaining not only the results but also their implications and subsequent steps for the business.