We specialise in online survey programming via two major international survey platforms - Decipher (Beacon) and Qualtrics. Our scripting specialists are experienced and can offer quick and high-quality results.

In addition to standard surveys, we can customise to any special question types, components, experimental designs, or randomisations for your survey.

We also support CATI and CAWI scripting requirements.

Data cleansing is vital to any online study. Our professional DP team will provide clean data files on-time and on-spec. We provide a wide range of formats including SPSS, Excel, SSS, and ASCII.

We also provide weighting, conjoint experimental design, and simulator design.

Coding is essential to make sense of text data. Our professional market research coding team provides high-quality coding services for open-ended questions, including code-frame building, frequency counts and other coding related services.

Our translation specialists provide professional translation services in Asian languages for multi-country projects. We cover all major Asian languages:

• Chinese (simplified and traditional)
• Korean
• Japanese
• Thai
• Bahasa

Insights can only be found through cross-tabulation. Through clean data files, results are calculated and presented in cross-tabs in Excel, Word or PDF. Our standard cross-tab includes major statistics such as count, column percentage, row percentage, and base.

Significant test or conditional formatting can be added as per table specs.

Providing insights based on accurate data is the key to a market research project. Our research team can provide advanced analysis, such as Conjoint, Max-diff, Driver analysis, Segmentation and other modelling to assist clients to gain insights from the raw data more efficiently.

• Key driver analysis - identifying key important aspects in buying decision and the key prioritization. Key techniques: correlation, regression analysis, path modelling
• Trade-off analysis - feature optimization of products or services, sometimes using simulator to test various combination of features. Key techniques: Max-diff, Conjoint, Discrete Choice Modelling.
• Segmentation - dividing consumers into groups with similar needs. Key techniques: K-means clustering, occasion-based segmentation, multi-domain segmentation.
• Predictive modelling - predicting consumer behaviour based on certain set of data. An example is to predict how likely a customer would respond to a promotion material. Key techniques: discriminant analysis, logistic regression.
• Data visualization and perceptual mapping - Visualize complex data into easy to a digest map visualization. Key techniques: correspondence analysis, bi-plot vector mapping.