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Research & Development

We have been handling assignments in different sectors such as Renewable Energy, Livelihoods, Peace, Security & Conflict, and WASH programs. Under this sector we have:

  • - Projects Evaluations (Baseline surveys, Mid and End term evaluations)
  • - Value Chain Analysis
  • - KAP (Knowledge, Attitude & Perception Studies)
  • - Opinion Surveys
  • - Public policy Research & Analysis
  • - Hypothesis Testing
  • - Impact assessment and Monitoring
  • - Behavioral and Attitude Change studies


  • How it is done


    Fieldwork Capabilities


Qualitative Techniques

a. In depth Interviews
b. Focus Groups
What it is.
Focus group is a 120 to 180’ interview, conducted by trained moderator among a group of 6 to 12 respondents. 2 to 4 focus groups are often needed to achieve research objectives. However, the number can increase depending on the size of the research geographical locality. Focus groups can also be mixed with IDIs to get the best of the 2-data collection approach.
What it is used for.
Group discussion produces data and insights that would be less accessible without interaction found in a group setting-Listening to others’ verbalized experiences stimulates memories, ideas, and experiences in participants. This is also known as the “group effect” where group members engage in a kind of “Chaining” or “Cascading”. Focus group is a time saving data collection providing qualitative information among 6 to 12 Individuals in less than 3 hours. Focus groups are however more expensive than individual interviews in term of respondents’ incentives.

c. Mini Groups
What it is.
Same as focus group but gathering 3 to 4 respondents
What it is used for.
Mini group is less creative but more manageable than a focus group. Mini-groups are particularly adapted to “work cessions” where respondents are asked to build up a demonstration or a communication.

d. Evolutive mini groups

What it is.
A series of 2 to 4 mini-groups organized as work cessions where the insight and conclusions of the previous group are discussed in the next group
What it is used for.
Each work Cession iteratively improves and fine-tunes the output of the previous mini group. Evolutive mini-groups are used in messaging study in order to build up a convincing and adapted sales representative script.

Quantitative Techniques


-Descriptive Analysis
-Multivariate analysis
-Cluster Analysis


Descriptive analysis


We use descriptive statistics/analysis to describe the basic features of the data in a study. Descriptive analysis provides simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. Descriptive statistics are typically distinguished from inferential statistics. With descriptive statistics, you are simply describing what is or what the data shows while with inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. Descriptive statistics are used to present quantitative descriptions in a manageable form. The analysis helps us to simplify large amounts of data in a sensible way.


Multivariate analysis


Chart


Principal component Analysis (PCA)
What it is

Principal component analysis provides a means of displaying both respondents and variables on a two-dimensional map. It is conceptually similar to correspondent analysis, but it applies to numeric variables (Continuous or scale). Combined to Cluster analysis, Principal component Analysis allows to visualize the clusters of respondents on a perceptual mapping.
What it is used for.
Principal component analysis is used in Attitudinal segmentation studies to display on a two-dimension map the clusters of respondents who share the same beliefs and practices Principal component Analysis also displays the relationships between variables (or correlation rates).

Correspondence Analysis (AC)
What it is.
It is conceptually similar to principal component analysis, but applies to nominal variables rather than numeric variables. In a similar manner to principal component analysis, it provides a means of displaying or summarizing a s et of data in two-dimensional graphical form.
What it is used for
Correspondence Analysis is used to make perceptual mapping illustrating graphically relationships between variables. It allows to place on a two-dimensional map respondents’ categories (gender, age categories, specialties, place of practice, etc.) and respondents’ beliefs & practices (What they think or do).


Cluster Analysis


What it is
Cluster analysis ( or clustering) classifies respondents into homogeneous sub groups. The most commonly used technique in market research is the hierarchical analysis which applies to a series of numeric variables (Continuous or scale).
What it is used for.
Cluster Analysis is used for every segmentation study (Attitudinal segmentation and Needs Based Segment). This segmentation studies identifies and describe homogenous market segments.

Multiple Regression Analysis
What it is.
Multiple Regression Analysis calculates the relationship between one dependent variable Y (Which we need to explain and predict) and several independent variables X1, X2, X3, etc. explaining Y. Multiple regression analysis can be linear or nonlinear (Logarithmic, exponential, etc.). In many cases, Multiple Regression Analysis provides a regression function ( e.g. Y=ax1+bx2+c) and a correlation coefficient r ranging from 0 to 1 estimating the efficacy of the regression function to predict Y Value from X1, X2, X3, etc.
What it is used for
Multiple Regression analysis is used in Attitudinal Segmentation study to provide the scoring system which can individually allocate customers to the identified and described market segmentations.

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