My Communities

biasness comes in in instances where there tool is not piloted, and only very few individuals contribute to developing the tool

in simple terms; meta data is data about data

and the United Nations SDGs too...

and also, it helps determine how sensitive a tool will be...

with most projects being donor funded, it becomes key to have the correct data collected to guarantee continued incoming and availability of funds...

desk review is one key data collection method which can be useful at the monitoring level of a project or intervention...

This was an interesting topic and I have learnt that data collection tools are either forms , documents or guides that help individuals or organizations collect data. Each data collection will use a different set of data collection tools. Hence forth , there are tips for collecting data tools and these are : 1. identify who will use this tool. before one designs a tool he or she should identify the person who is going to use the tool. 2. Focus on essential information. 3. collect metadata. Metadata is the information that explains how your data was collected. 4 Pretest your tool. it is important to pretest your tool before use to see whether it is applicable and also to see if the user is comfortable in using it and to see whether they understand the tool. 5. Train staff to use the tool and include instructions. In this tip, one should train the staff on how to use the tool to avoid distortion in collecting data. Instructions must be included.

Data creation tools are an important aspect of M&E PLAN. Information is collected by use of this tools that help in capturing information and data useful in monitoring progress and eventually the impact of the project. In creating a data collection tools, a number of considerations are made by following a six step guidelines ; understanding your indicator, decide on which information to record, deciding how your form will be filled in , creating your form, testing your form and lastly revising your form. This criteria is important as it ensures the tool created is complete and no information is forgotten

la création d'une base de données renforce l'archivage des données et est des informations utiles pour d'autres projets à venir

Data creation tools are an important aspect of M&E PLAN. Information is collected by use of this tools that help in capturing information and data useful in monitoring progress and eventually the impact of the project. In creating a data collection tools, a number of considerations are made by following a six step guidelines ; understanding your indicator, decide on which information to record, deciding how your form will be filled in , creating your form, testing your form and lastly revising your form. This criteria is important as it ensures the tool created is complete and no information is forgotten

la création d'une base de données renforce l'archivage des données et est des informations utiles pour d'autres projets à venir

La qualité des données fait partie intégrante de toutes les activités de recherche et il est essentiel d’intégrer la gestion de la qualité dans le protocole et la planification. La gestion de la qualité est la responsabilité de toute personne engagée dans le projet et elle est essentielle pour assurer que le projet respecte ou surpasse les normes scientifiques, éthiques et réglementaires applicables. Le plan de gestion de la qualité doit indiquer clairement comment votre équipe de recherche prendra des mesures cohérentes et continues pour surveiller et évaluer la qualité et la rigueur de la recherche. Il doit indiquer comment vous évaluerez la qualité à différentes étapes.

I have learnt that they are different types of collecting data depending on your project. That includes survey, focus group , interviews and document review . it is highly important to choose what will specifically work for your project.

In creating a data collection tools M&E must take into consideration certain factors such as:
The user of the tool; essential information; collecting metadata; pre-test the tool; training of staff to use the tools and including instructions

in order to create data collection tools we should consider tow parts.
1: Determine which type of data you need to collect.
2: Determine which type of data collection you need to collect.
1: Determine which type of data you need to collect:
there is tow type of Data qualitative and quantitative data in a project, in this part you need to determine which type of data you need to collect.
a: qualitative data: are the data that are include the people think, Idea and perception. for collecting of these type of data we always use from questioner with open ended question, we use focus Group and direct observation.
b: quantitative data : are the data that are including Number percentage and ratio. for collecting of these type of data we should use questioner with close ended question and we will put a limitation for interviewee (Yes/No) (Good / Bad) (Right / Wrong) and so on.

creating and using a data collection tool is one of the challenging aspect many field officers face

creating and using a data collection tool is one of the challenging aspect many field officers face, this module have provided me with the basic fundamental knowledge on the various data collection tool to be used

When generating data collection tools emphasis should be based on the practical applicability of the tool pertaining to the purpose and the type of indicator to be measured

Data collection tools,
The data collection tools are a method that we conduct it in order to collect data based on each individual indicator to measure the progress.
The data collection tools are including.

1. Questioner
2. Focus group
3. Direct observation
4. Laboratory test
5. Survey
   So, the point is in here that how can we chose an appropriate data collection tools for gathering of the data, in this part we should know the type of data.
   Qualitative data: this is the type of data that is including the people think, idea and perception.
   For collecting of this type of data we should use focus group and interview
   Quantitative data: this type of data is including number, percentage and ratio.
   For collecting of this type of data we should use from questioner and laboratory test.

Many different methodologies can be used for data
collection and analysis. For people new to the world of
monitoring and evaluation (M&E) the list can appear quite daunting. However, most methodologies are based around the same set of basic tools. These tools are listed in this short paper, and are described in more detail in other papers in this section of the M&E Universe. The tools listed below can be used on their own, or can be applied as part of wider methodologies. For example, a survey could be designed and implemented as a standalone tool, but could also be implemented as part of a wider methodology, such as a Randomised Control Trial (RCT). Basically a Data Collection Method is a process or technique for collecting data. A Data Collection Tool

Forms, documents or guides that help individuals or organizations collect data. Each data collection method will use a different set of data collection tools. Usually a participant Tracking Form commonly used type of data collection tool. Participant Tracking Forms record information about participants who receive services.

The participant tracking form is a crucial tool where you have people participating in the project. It is alsmost similar to training schedules where you record your details

Very true

Data collection tools are essential in M&E plan as they determine the kind of data that will be collected for the project

When creating a data collection tool, it is very important to keep it simple and include only essential information needed. Putting your indicators in mind while doing this will ensure that you build a good data collection tool.

Is there any software/programme which helps us transform the survey data into graphics or charts? thanks

Very useful module.

Hello........ Does anyone have the idea of creating data tools for GBV case management. If can share such tools with me

Thank you that was a useful response

I also understand that M&E must cut across programs task too. Then M&E should include training on programs too

Many different methodologies can be used for data collection and analysis. For people new to the world of monitoring and evaluation (M&E) the list can appear quite daunting. However, most methodologies are based around the same set of basic tools. These tools are listed in this short paper, and are described in more detail in other papers in this section of the M&E Universe.

Data collection is the heart beat of any M&E assignment. One needs to have techniques on how to design appropriate tools for data collection.

Creating data collections tools is very useful for s&e. Thank to these tools, you will have datas to analyse. Creating these tools request time preparation and must be based on the indicators. If those tools are well thought and built, they can lead you to success and continuous improvement. Your data tools must be adapted to your projects, the skateholders, your team who will fill the tools, goals.

Creating data collection tool follows after selection of an indicator(Activity, outcome or impact indicator) and decide which type of information or data do you need to support it.

Data collection tools are designed and created according to the need of a indicator.The tool should capture all necessary data or information, minimize error, be simple and easily understood and specific.

To fulfill the above needs you need to consider the following;- The tool should be familiar to users to avoid misleading interpretation and other unwanted results, should contain all essential information without complication, it should include metadata, the tool should be pre-tested and finally staffs should be trained on how to use the tool.

I will first start by defining what data is. Data is the information that we collect about "our" project. In order to collect this data, it is always important to come up with a Data Collection Method. This is a process or technique used for collecting data. So in order for us to come up with accurate data, there's need to use Data Collection tools cause each Data Collection Method has a different set of Data Collection tools.
Therefore, in order to create an appropriate Data Collection tool, there are five tips to consider.

First is to identify who will use that tool in collecting the desired data. This should focus on the user's level of education, experience and competency in the tool.
Secondly, there's need to focus on providing essential information other than adding too many complex information.
Third is collecting metadata; how the data was collected. This consists of; the title of the tool, version of the tool, user of the tool, where and when they used the tool. All this is to help trace information in order to produce quality data.
The fourth is to do a Pre-test on the tool. This can both be done through imagination (using false data) or asking different people to try using the tool (before publishing it) in the same environment where data will be collected from.
Lastly is to train staff to use the tool to avoid misinterpretations and include instructions sheets that state the purpose of the tool and as well describe how it will be used.

It appears we're making progress!
How has it been going?
Please share your own progress in this course so far.

la collecte de données nécessite une équipe bien formée pour le faire

Need some more explanation and examples on indicators

To know the data collection methods is very good and it is helpful for project.

Beneficiary tracking sheet is essential part of the project. It always should be correct, updated, have a comments column. In our organization we create it in the cloud space, so all the team members who are working in different cities, can see the updated tool. Also it helps to save the tool even if the working computer will be broken.

The underlying need for creating and designing data collection is to capture quality evidence that seeks to answer all the questions that have been posed. Through data collection tools business or management can deduce quality information that is a prerequisite for making informed decisions. I have also learned in this module the importance of
identifying which tools one intend to use as well as the participating tracking form.

To improve the quality of information, it is expedient that data is collected so that you can draw inferences and make informed decisions on what is considered factual. At the end one would understand why picking the best data collection method is necessary for achieving your set objective.

Deciding on what information to be in data collection tool is really important. It is recommended to include the minimum required information. Too much information may be confusing and will cost much time to complete which may make participants to loose interest. Data collection tools should also be pre-tested before they are used in the field 'real-life'. This will ensure that errors or misunderstandings are corrected. It also necessary to collect metadata like; data of data collection, name and version of tool used, name and title of the person using the tool, and the location where the tool is used. This metadata is necessary for identify and fix quality issues relating to the data.

To create data collection tools the following must be considered.

1. Identify who will use the tools, eg. Their level of education and experience with data collection tools
2. Focus on only essential information.
3. Collect metadata
4. Pre test tools as this could help fish out errors
5. Train staff to use the tools and also include detailed instructions on proper way to use the tools

participant tracking is as good as a survey

After defining the indicators, data collection tools are created. There are different data collection tools such as interviews, observations, survey, and focus group, in capturing the defined indicators. Out of these various choices, thus it is important the rights tools are selected. Selection of the tools can be considered on a number of factors. The existing resources (time, money and staff of the project) available within the concerned project, for example is one important aspect. The number of tools chosen should be minimized as much as possible if they are enough to capture the necessary and essential information required.

During the evaluation of a project and its impact, is very important to collect data accordingly, hence Creating concrete data collection tools will be required in order to measure the impact of the project and its activities in the community.

Define data collection tools[link text](link url)

I agree with oyu

Using standard data collection tools as a template at at times is the best way to go; saves time and unnecessary errors

Nothing has ever been more awesome than this section for me!

When creating a data collection tool,one should understand their indicators and what they would want want to achieve.
Then ask yourself the type of information you'd want to collect is it observational,or you'll need a survey or interview to gather information,this will help in planning and deciding the type of data collection tool to use

This is a very important part the course. You can perfectly design a project to be implemented but if you miss-out in creating the right kind of data collection tools for the M&E, you will be heading to total nothingness and your project might not be properly monitored. Therefore, you will not be able to apply new measures or strategies to secure the appropriate output, outcome and/or impact.

It is also appropriate that your partners and donors make some input when creating your data collection tools. With this you might not be contacted for report clarity.

Whenever you are done creating your data collection tools, please do a pre testing of the tools created to misinterpretation or missing valid information. Thanks!

Thank you for your feedback. I appreciate.

To create a data collection tool, you most be guided by the following principles:
-Identify who will use this tool

• Focus essential information
• Collect metadata
  -Pre- test your tools and train staff to use the tool and conclude instructions with this procedure you can collect date currently and can be verifiable.

It is very important.

An M& E expert can use the five tips for creating data collection tools. The five tips for creating data collection tools include:

1. Identify who will use this tool
2. Focus on essential information
   3.Collect metadata
   4.Pre-test your tool
3. Train staff to use the tool and include instructions

NB: Focusing on essential information is important as it will keep your tool from getting too complicated.

Data collection tools are the pillars to M and E. Selecting wrong tools kills the évaluation process because the INDICATORS Will not be verified correctly

Data collection tools refer to the devices or instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, focus groups, Observation and Surveys or Questionnaires are all tools used to collect data.
It is important to decide the tools for data collection because research is carried out in different ways and for different purposes. The objective behind data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed.

What is the best data collection tool to use when dealing with children in basic schools?

Through data collection projects or management can deduce quality information that is a prerequisite for making informed decisions. The underlying need for Data collection is to capture quality evidence that seeks to answer all the questions that have been posed

Upon creating data collection tools more especially the participant track form it is very important to decide whether the form will be self administered or not. This helps in maintaining good data quality and accuracy

Creating data collecting tools needs attention because the tool must be very relevant to the data that need to be collected. The tool must also collect the disaggregates of the required data that are important. The tool must also be designed in such a way that is not "boring " to use.

The instructions section for how to use each tracking form is very vital, as it is major guidance resource.

Data collection tools is most important for M&E as well as managements

Creating data collection tools is an important process prior to data collection. Failure in building a correct data collection tool may lead to failure in capturing all the necessary data needed by the project. A good data collection tool should be easy to fill, practical and complete. it comprises of two section the indicators to measures and the metadata that capture information mainly for the sake of quality control.

Data collection Methods
-Advantages vs Disadvantages
-Technical Expertise vs Trained volunteers
-Time consuming vs Quick
-Expensive vs Cheap
-Quantitative data vs Qualitative Date

Few Methods
1- Surveys
2- Focus Group
3- Observation
4- Interview
5- Laboratory management
6- Document Review
7- Community workshop

Tips for creating Data collection tools
1- Identify who will use this tools
2- Focus on Essential Information
3- Collect Metadata
4- Pre-test your tool
5- Train Staff to use the tools and include instructions.

6 Steps to create Participant tracking form
1- Understand your Indicators
2- Decide which types of information to record
3- Decide how your form will be filled in
4- Create your form
5- Test your form
6- Revise your form

There are seven steps of determining which kind of tool of collecting data you are going to use when collecting data. Derteming to the kind of data you going to collect, either quantitative or qualitative. You have to first look at the pros and cons of that tool for an informed decesion which will take you back to your logframe

Before creating data collection tools there are several questions that should be asked, to ensure its efficiency and effectiveness in measuring indicators.

Creating data collection tools was one of the most mind opening topics particularly when it comes to ensuring consistency, accuracy and reliability in monitoring and evaluating projects. The information provided was clear and is to follow and implement in any project

Yes i agree that participant tracking tool is a versatile data collection tool

Could able to know the data collection methodology and the tools.

Got more clarity about the different tools for data collection and its use technique.

DATA COLLECTION TOOLS SHOULD BE SIMPLE AND UNDERSTANDABLE. AND CONSIDER THE KNOWLEDGE OF THE ONE WHO WILL ADMINISTER IT,

How about to create an modulable data collection tools for every projects we have

The module was quite practical. I have understood the different data collecting tools, their advantages and disadvantage. Havin such knowledge will help me in deciding the most appropriate data collection tools factoring aspects such as the ease of use, the cost of using the tool and the time needed to collect data using the tool. I have also learnt that different types of data ( qualitative and Quantitative ) will require different data collecting tools.
From the module I have also learnt about and appreciated the Participant tracking form as ma very significant and important data collection tool. I have learnt the principles to apply in constructing the the participant form;

• Understand your indicator

• Decide type of information to be recorded

• Decide how the form will be filled

• Create the form

• Test the form

• Revise the form

Creating Data Collection Tools is very important for means of verification in Log frame.

will data collection tools continue to evolve over time?

Creating Data Collection Tools is very important for means of verification in Log frame.

Data collection tools have changed the way market research is done. They have turned data collection and analysis into a smart process that improves the business outcomes. Gone are the times when organizations used to make strategies based on assumptions, instincts, and possibilities. Today, they cannot afford to make a mistake or miss a chance and let the competitor win. Business leaders and analysts rely on data to drive growth and revenue.

Data collection tools help to understand employees and customers better by collecting their feedback, opinion, and choices. They can help to improve their experience by meeting their expectations from your products and services. To achieve this, it is necessary that the data is rich enough to be able to extract meaningful insights from it.

Types of data collection tools
The success of market research depends on the accuracy of the data collected. However, it doesn’t end here. It is important to analyze this data such that the management executives can make sense out of it.

There are multiple data collection tools available in the market. Choosing the right one depends on your requirements. Some of the most commonly used data collection methods are

Interviews
Interviews are a data collection method by which one person asks a series of questions to another who is part of the target audience. The one-to-one interview can be conducted in-person or over the phone call. The answers are recorded and analyzed to understand their behavior, choices, and experiences. An interview gives high quality of data as the respondent is less likely to give false responses when facing someone directly. The limitation of this mode of collecting data is that it is not feasible for large scale data collection. Also, it is time-consuming to interview many people on a one-to-one basis. Interviews are most appropriate when the subject is complex or sensitive.

Observation
Observation is a data collection technique in which the target audience is given the problem statement and their responses are noted with minimum interference of any moderator. While the respondent is busy thinking about answering the questions, their body language, mannerisms, facial expressions, voice tone, etc are noted. These non-verbal signs are an important input for making decisions. The best thing about this method is that it requires less preparation on the researchers part. The downside is that the respondents might get conscious of themselves if somebody is constantly observing them. It might even make them feel uncomfortable.

Surveys
Surveys are a list of questions designed in such a way that they touch upon various features of products and services. Based on the data collected, various analytical algorithms are run and reports are generated. Surveys are conducted through online data collection tools by which the survey questions can be distributed through email, website, mobile app, QR code or social media platforms. These data-gathering tools have the ability to generate various reports such as Trend Analysis, Data Segmentation, Correlation Analysis, Conjoint Analysis, etc. Often in large enterprises, multiple teams use the reports and so, need to be shared with many people. This creates a need to export the reports in commonly used formats such as .xls, .doc or .pdf. Moreover, the survey data can be used further by integrating third-party apps with the survey builder tool. This multiplies the usability of the data collected and improves ROI.

Survey builder software comes with a lot of flexibility as the user can select from a variety of question types and add logic to customize the flow of survey based on the answers given by respondents. The respondents can answer based on their convenience. In case a respondent has started the survey but hasn’t finished, the survey administrator can send scheduled reminders and increase the response rate. Surveys can reach a vast audience simultaneously and collect a lot of data in lesser time as compared to other methods.

Usage Data
With the growing use of technology, data is collected at various points from manufacture to delivery. This data can be used to improve business outcomes. Historical records, application usage data, sales reports, GPS location coordinates, etc are some of the examples from which useful data can be gathered. Such data collection methods can be used when you want to optimize existing systems instead of creating new ones.

Focus Groups
Focus groups are a group of people who come from various fields of life. They are subjected to a group discussion in the presence of a moderator. As people come from different backgrounds, it leads to exploring various angles of thoughts. It is believed that diversity in thoughts leads to innovation. Focus groups help stakeholders to validate the facts on the spot and collect a diverse set of data. This method of data collection suffers from the risk of the presence of an over-influential person in the group. The moderator must be capable of managing the discussion and balancing the dynamics of the group. Focus groups are apt for beta testing of newly launched products.

Data collection tools must be selected based on low barriers to entry, ability to scale and advanced features beyond basic data collection.

Data collection tools have changed the way market research is done. They have turned data collection and analysis into a smart process that improves the business outcomes. Gone are the times when organizations used to make strategies based on assumptions, instincts, and possibilities. Today, they cannot afford to make a mistake or miss a chance and let the competitor win. Business leaders and analysts rely on data to drive growth and revenue.

Data collection tools help to understand employees and customers better by collecting their feedback, opinion, and choices. They can help to improve their experience by meeting their expectations from your products and services. To achieve this, it is necessary that the data is rich enough to be able to extract meaningful insights from it.

Types of data collection tools
The success of market research depends on the accuracy of the data collected. However, it doesn’t end here. It is important to analyze this data such that the management executives can make sense out of it.

There are multiple data collection tools available in the market. Choosing the right one depends on your requirements. Some of the most commonly used data collection methods are

Interviews
Interviews are a data collection method by which one person asks a series of questions to another who is part of the target audience. The one-to-one interview can be conducted in-person or over the phone call. The answers are recorded and analyzed to understand their behavior, choices, and experiences. An interview gives high quality of data as the respondent is less likely to give false responses when facing someone directly. The limitation of this mode of collecting data is that it is not feasible for large scale data collection. Also, it is time-consuming to interview many people on a one-to-one basis. Interviews are most appropriate when the subject is complex or sensitive.

Observation
Observation is a data collection technique in which the target audience is given the problem statement and their responses are noted with minimum interference of any moderator. While the respondent is busy thinking about answering the questions, their body language, mannerisms, facial expressions, voice tone, etc are noted. These non-verbal signs are an important input for making decisions. The best thing about this method is that it requires less preparation on the researchers part. The downside is that the respondents might get conscious of themselves if somebody is constantly observing them. It might even make them feel uncomfortable.

Surveys
Surveys are a list of questions designed in such a way that they touch upon various features of products and services. Based on the data collected, various analytical algorithms are run and reports are generated. Surveys are conducted through online data collection tools by which the survey questions can be distributed through email, website, mobile app, QR code or social media platforms. These data-gathering tools have the ability to generate various reports such as Trend Analysis, Data Segmentation, Correlation Analysis, Conjoint Analysis, etc. Often in large enterprises, multiple teams use the reports and so, need to be shared with many people. This creates a need to export the reports in commonly used formats such as .xls, .doc or .pdf. Moreover, the survey data can be used further by integrating third-party apps with the survey builder tool. This multiplies the usability of the data collected and improves ROI.

Survey builder software comes with a lot of flexibility as the user can select from a variety of question types and add logic to customize the flow of survey based on the answers given by respondents. The respondents can answer based on their convenience. In case a respondent has started the survey but hasn’t finished, the survey administrator can send scheduled reminders and increase the response rate. Surveys can reach a vast audience simultaneously and collect a lot of data in lesser time as compared to other methods.

Usage Data
With the growing use of technology, data is collected at various points from manufacture to delivery. This data can be used to improve business outcomes. Historical records, application usage data, sales reports, GPS location coordinates, etc are some of the examples from which useful data can be gathered. Such data collection methods can be used when you want to optimize existing systems instead of creating new ones.

Focus Groups
Focus groups are a group of people who come from various fields of life. They are subjected to a group discussion in the presence of a moderator. As people come from different backgrounds, it leads to exploring various angles of thoughts. It is believed that diversity in thoughts leads to innovation. Focus groups help stakeholders to validate the facts on the spot and collect a diverse set of data. This method of data collection suffers from the risk of the presence of an over-influential person in the group. The moderator must be capable of managing the discussion and balancing the dynamics of the group. Focus groups are apt for beta testing of newly launched products.

Data collection tools must be selected based on low barriers to entry, ability to scale and advanced features beyond basic data collection.

Here are the top six data collection methods:
Interviews.
Questionnaires and surveys.
Observations.
Documents and records.
Focus groups.
Oral histories.

Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies. Data may also be generated through direct measurement, reviewing secondary data, and informal project / programme management processes

The most important things to consider when creating data collection tools are:

1. The type of data to be collected
   e.g quantitative or qualitative
2. The experience and expertise of the data collection team.
3. The number of participants
4. The amount of resources available
5. Time frame for data collection exercise
6. The kind of participants from which the data will be collected

It's also good to consider only adding the essential information to be collected as this reduces the amount of time required to collect data. Pre-testing the tool is also crucial as it helps to refine the tool before the actual exercise.

I think creating data collections tools is very important for monitoring and Evaluation. It does not only track participants activities and involvement in a project, it is also good to measure success (indicator) of a project.

Data tools are important and should be selected carefully depending on the data required. Of key to consider in creating data tools are things like the user of the tool, collect metadata and as well focus of essential information.

IMPORTANCE OF DATA COLLECTION
There are a bunch of underlying reasons for collecting data, especially for a researcher. Walking you through them, here are a few reasons;

Integrity of The Research
A key reason for collecting data, be it through quantitative or qualitative methods is to ensure that the integrity of the research question is indeed maintained.

Reduce the likelihood of errors
The correct use of appropriate data collection of methods reduces the likelihood of errors consistent with the results.

Decision Making
To minimize the risk of errors in decision making, it is important that accurate data is collected so that the researcher doesn't make uninformed decisions.

Save Cost and Time
Data collection saves the researcher time and funds that would otherwise be misspent without a deeper understanding of the topic or subject matter.

To support a need for a new idea, change and/or innovation
To prove the need for a change in the norm or the introduction of new information that will be widely accepted, it is important to collect data as evidence to support these claims.

Collecting data is always a part of every process that involves results. T

creating data collection tool is essential to help us properly group our indicators

I found the content so detailed and interesting. My question is that, when this should be done, during the project design or after

This module was very interesting and useful as the tools are essential for correctly and timely collection of data. As a example, we explored creation and use of participant tracking tool, however i felt that if the course could explore through other data collection tools too, then it would be more helpful as the participant would be ready to implement in real work life.

we need data collecting tools so as to help us in data collection. we need to group our indicators into collections that can be measured with the same tool. this will help create few possible data collecting tools.

Creating data collection tools can be a challenge to people who are not interested and those who have not archived much in terms of high education

data should be of high quality as they are collect

There are different ways to collect data. Hence, make sure to use a tool which is easy to understand

Data helps us to proceed further. Therefore it is important to design the tool before you start working in the fields

Creating data collection tools is a very critical and time consuming process. It saves time if there is an already existing tool measuring similar indicators that you can tailor to respond to your data collection requirements

If a programme has a variety in activities, different participant tracking forms will have to be designed for different components based on the work plans. Once the implementer of the different components have completed the output monitoring forms, they shall submit them to the M&E assistant who shall provide quality control assessment before sending them to the E-SLIP M&E Manager for data capture and compilation. The M&E Manager shall ensure that the forms’ data are captured into the E-SLIP M&E database. Once these data have been captured, the M&E Specialist shall prepare a Physical Progress Report

It is also important that the data collection tool design process considers how the digital collation will be done and how the data cleaning process will be conducted. Data cleaning needs to be done quickly in order to be able to reach the participants in case the need arises for data to be verified with the participants. It is also necessary to include contact details like phone or email addresses to make this process possible