Quantitative Data Collection Services

A unique approach to numerical data collection: Find hidden insights from your data.

Our Capabilities

The world is driven by data today, but data collection can be messy and cumbersome. Obtaining efficiency from those data can be complex and tedious. However, we bring a collective solution for that. Statswork is well-equipped to collect the data in a professional manner for your research objectives. With our 15 years of experience in providing bespoke data collection services, across a broad spectrum of research topics, where we can gather information that speaks volumes about your discipline.

Our quantitative data collection solutions convert data into information that can help you make decisions more effectively. We help you bridge the gap between success and effort, to make your research journey as meaningful as possible. Let us take you on journey of knowledge discovery with data

Statswork’s skilled experts triumph in all facets of data analysis that you don’t need to search for anywhere as they collectively provide greatness.

Controlled Experiment Design

Our experts design controlled experiments which manipulates variables to observe relations and connections among the variables.

A/B Testing

Conducting A/B testing to assess and conclude the effectiveness of certain implementations in the real world.

Data-Driven Observations

Data analysts in our firm conduct systematic observations, record behaviours in real-world contexts to understand correlations, patterns, and trends.

Secondary Data Analysis

We uncover novel insights by analysing existing datasets, using existing data collected for other purposes.

Cohort Studies

Our analytics studies specific groups over time, tracking changes and outcomes within those groups.

Online Analytics

Statswork professionals extract quantitative data pertaining to user interactions, website visits, and more using digital tools.

Survey Expertise

Experts at statswork design critical questionnaires to collect structured data through structured interviews with standardised questions. They provide insights about opinions and preferences collectively.

Controlled Trials

Our experts design controlled experiments which manipulate variables to observe relations and connections among the variables.

Cross-Sectional Studies

We collect data at a specific point in time, offering insights into attitudes, characteristics, and behaviours.

At StatsWork, we bring you a suite of expertly crafted quantitative data collection methods that open a world of insights. Our featured capabilities empower you to gather, analyse, and interpret numerical data with precision, leading you to make informed decisions.

Understand customer sentiments and delve into the hearts and minds of your audience with our expertly designed surveys. Craft questions that not only reveal preferences, opinions, and behaviours but also unveil the underlying emotions and motivations. Reinforce your strategies with a deeper understanding of what truly resonates.

Designing controlled experiments that reveal cause-and-effect dynamics which goes beyond the surface. We highlight intricate cause-and-effect relationships by meticulously manipulating variables and measuring their outcomes. Unearth how even subtle changes impact results, enabling you to make strategic choices that optimise your goals.

In our quantitative data lab, we numerically evaluate and interpret your key performance indicators in a meticulous way to assess the effectiveness of your initiatives and improve them. With these valuable insights, you can optimise your progress and improve your overall performance with a tailored strategy.

Fresh perspectives from existing datasets transform your existing data into a source of innovation. Our secondary data analysis transcends the boundaries of conventional insights, allowing to find hidden insights within your datasets. By reframing and reinterpreting the data, you can obtain novel perspectives that drive transformative decisions.

Explore our real-world settings with our observational studies. Study the behaviour’s, patterns and trends as they unfold in their natural habitat. Uncover the dynamics that drive your target audience, gaining insights that enable you to shape your strategies effectively.

Empower your decisions with the human touch of structured interviews. Beyond gathering data, these interviews capture employee sentiments and the nuances that define human experiences. Let empathy guide your strategies as you decode the intricate layers of opinions and motivations.

These examples highlight how our comprehensive data collection services, combined with AI and ML capabilities, have enabled businesses to make informed decisions.

Consumer Preferences Survey

A large survey was conducted to collect quantitative data on consumer preferences for a new range of health drinks. The survey asked about flavour preferences, packaging design, and pricing. The collected data gave insights into the most popular flavours, preferred packaging, and price points to inform product development.

Randomized Clinical Trial for Drug Efficacy

We designed and ran a randomised clinical trial to evaluate the safety and efficacy of a new drug. The trial had a control group receiving the new drug and a placebo group. Quantitative data on patient outcomes, side effects and treatment response were collected and analysed.

Quality Assessment of Cooking Oils

We worked with a cooking oil company to design frying studies to quantify the quality of different oils under different cooking conditions. Temperature, frying time, and oil degradation were measured. The data collected showed the oil’s stability, smoke point and sensory attributes after frying to help the company choose the right oil for their products.

Employee Satisfaction Survey

 A comprehensive employee satisfaction survey was conducted for a large company. The survey covered work-life balance, compensation, career growth and workplace culture. The quantitative data from the survey allowed the company to identify areas of concern and implement targeted strategies to boost employee morale and retention.

Educational Assessment with Standardised Tests

An educational institution opted to conduct standardised tests for students’ math proficiency. We collected quantitative data from the tests and provided a clear picture of students’ strengths and weaknesses. This allowed educators to individualise their approach and provide targeted support to improve learning outcomes.

Customer Feedback Analysis

Collected quantitative data through customer feedback forms for a retail chain. The data included ratings and comments on product quality, store ambiance and customer service. By analysing the quantitative feedback, the retail chain could see what needs to be improved and what to do for overall customer experience enhancement.

Energy Efficiency Evaluation

Manufacturing Quality Control

Financial Risk Assessment

Supply Chain Optimization

Pharmaceuticals Clinical Trials

Agricultural Yield Optimization

Customer Satisfaction Assessment

Customer Behavior Analysis

Energy Efficiency Evaluation

Manufacturing Quality Control

Financial Risk Assessment

Supply Chain Optimization

Pharmaceuticals Clinical Trials

Agricultural Yield Optimization

Customer Satisfaction Assessment

Customer Behavior Analysis

Why choose us as your quantitative data collection service provider?

Statswork is proficient in providing data collection services that contains a complete stack of data retrieval methods suitable for all needs.

Quantitative Research

Quantitative Research and its Main Characteristics

Quantitative research is characterized as a precise examination of wonders by social affair quantifiable information and performing factual, numerical, or computational strategies..

Quantitative Research

Importance of Collection in Various Field

Data collection plays a significant asset in any research study. Research work carried can vary from field to field but all the research work based on data which is analyzed ..

Quantitative Research

What Data Needs to Be Extracted in Risk of Container Shipping

Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete data collection work.

Frequently asked Questions

What is quantitative data collection?

A quantitative data collection refers to collecting numerical data through formalised, structured procedures, which simplifies the assessment and evaluation of the variables and occurrences that are being studied.

What are the methods of collecting quantitative data?

Survey, experimental, sensor, and log data are common sources of quantitative information as they include highly fractional easily quantifiable information.

What security measures are in place to protect data during collection? 

We ensure data security with a strict and rigid protocol during with advanced encryption, vigilant access controls, secure storage, and complete regulatory standards.

Which software programs are the most efficient for gathering quantitative data?

For gathering quantitative data, the following software are best helpful: SurveyMonkey, Qualtrics, Google Forms, Microsoft Forms, SPSS, RStudio, and Tableau.

What are the effective methods to collect quantitative data?

Collecting opinions through questionnaires, evaluating hypotheses through trials, observing behaviour and gathering secondary data based on knowledge from previous studies. These methods will provide an effective dataset that is ideal for the research.

What are the types of quantitative data collection?

Quantitative data can be collected through various means, such as surveys, controlled observations, experiments, face-to-face interviews and polls.

What are some of the best software for quantitative data analysis?

Python, SAS, IBM SPSS, and Minitab are some of the prominent and effective quantitative analysis tools out there.

Quantitative Data Collection Services ​

Controlled Experiment Design

A/B Testing

Data-Driven Observations

Secondary Data Analysis

Cohort Studies

Online Analytics

Survey Expertise

Controlled Trials

Cross-Sectional Studies

Precision-Designed Surveys

Impactful Experimentation

Performance Metrics Evaluation

Revitalize Existing Data

Real-World Insights

Structured Interview Excellence

Consumer Preferences Survey

Randomized Clinical Trial for Drug Efficacy

Quality Assessment of Cooking Oils

Employee Satisfaction Survey

Educational Assessment with Standardised Tests

Customer Feedback Analysis

Energy Efficiency Evaluation

Manufacturing Quality Control

Financial Risk Assessment

Supply Chain Optimization

Pharmaceuticals Clinical Trials

Agricultural Yield Optimization

Customer Satisfaction Assessment

Customer Behavior Analysis

Energy Efficiency Evaluation

Manufacturing Quality Control

Financial Risk Assessment

Supply Chain Optimization

Pharmaceuticals Clinical Trials

Agricultural Yield Optimization

Customer Satisfaction Assessment

Customer Behavior Analysis

Unique Data Solutions

Complete Coverage

A client-focused outlook

Straightforward and transparent approach

Increased security of data

24/7 Care

Quantitative Research and its Main Characteristics

Importance of Collection in Various Field

What Data Needs to Be Extracted in Risk of Container Shipping

Frequently asked Questions

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Quantitative Data Collection Services

Need Statistical Consulting
support? Let’s talk.