OUR PRE-LAUNCH AND TRAINING PROCESS

Our Pre-Launch and Training Process

Upon receiving the survey instrument along with package including other important material, project team reviews each document thoroughly and gets back to the client contact with suggestions or queries, if required.

Project Manager conducts team training sessions which includes:

Having detailed understanding around the survey scope.
Going through the questionnaire in detail i.e., understanding the metrics, KPI's and different sections in the questionnaire.
Listing all the logic checks, measures and definitions of important data points.
Identify all interlinked data points which are related to each other and what makes them relate. This helps in probing the respondent to get accurate data.
Conduct mock interviews with project managers and identify any pain points or challenges to avoid errors when live.

Sampling and Initial Pitch

Based on the screening criteria and scope, Scimitar Research crawls through their internal database and shortlists best matching profiles of survey respondents.

Again, validate all shortlisted profiles through reliable sources such as LinkedIn, ZoomInfo, D&B and of course making calls.

Project team will call shortlisted profiles after doing a desk research or background of the company/executive and will take them through the research background while creating importance of the study. Schedule appointments upon presentation over the phone for the final discussion based on the executive’s availability.

Survey Execution and Validation Process

The analyst contacts the participant at the scheduled date and time, seeking permission to proceed with the survey and guide the executive through the interview. During the survey, the analyst references desk research to better understand the facts provided by the executive.

The analyst adheres to all survey guidelines, logic, measures, and definitions covered in training to ensure data accuracy. The quality team audits calls, cross-referencing the data file to ensure responses are accurately reflected. The project manager reviews the submitted data and addresses any queries with the analyst. They then verify each data point against key validation rules and share the final or interim data in the client’s preferred format.