My Communities

Creating a Data Flow Chart helps to identify the roles and responsibilities of the different stakeholders. I found it useful to visual the different steps of data management over the life cycle of a project. Using this chart will also be important for creating the project timeline because it shows the different stages of data management (collection, entry, quality review, analysis).

When creating data collection tools , M & E should consider important points for the participants such as the name , village where they reside, their age for effective record management.

Sometimes it is possible to use a data collection tool that has already been created. If you are measuring an indicator that other projects have already used, it is worth investigating whether an appropriate tool already exists. Using a pre-existing tool can save a lot of time and resources, and can ensure that the tool you use is high quality.

Very well explained topic. I was thinking that data via survey should be collected only by professionals (elaboration of questionnaires, data analysis etc.) but understand, that some data could be collected by the project staff or trained helpers.

Sometimes it is possible to use a data collection tool that has already been created. If you are measuring an indicator that other projects have already used, it is worth investigating whether an appropriate tool already exists. Using a pre-existing tool can save a lot of time and resources, and can ensure that the tool you use is high quality.

Data collection tools are helpful in acquiring the necessary data to measure the indicators

Data collection tools are essential in any given M&E plan to effectively create workable guides that help individuals gather credible data.

Data collection tools are essential in any given M & E plan to effectively create workable guides that help individuals gather credible data. It evidently helps achieve required results.

Creating data collection tool is essential to M&E. It help you gather information to measure indicators, help project team make relevant decision looking at the data collected, and help project staff adjust/redesign their implementation strategies.

Data collection tools are essential in any given M&E plan to effectively create workable guides that help individuals gather credible data.

This is the practical guide in the process. It helps to capture both quantitative and qualitative metrics of the M&E exercise. It also aids in generating feedback on how effective the exercise has been.

This is the practical guide in the process. It helps to capture both quantitative and qualitative metrics of the M&E exercise. It also aids in generating feedback on how effective the exercise has been.

creating data collection tools is an important part of making a success of your project. If the data collection tool does not measure the indicators of your project, it is likely that your project will not succeed.

Data can be collected through tools such as interviews, observation, surveys, etc.

Therefore one needs to;
• Identify goals and performers.
• Create Investigative questions.
• Develop a data collection Plan.
• Then create the data collection tools

Data can be collected through tools such as interviews, observation, surveys, etc.

Therefore one needs to;
• Identify goals and performers.
• Create Investigative questions.
• Develop a data collection Plan.
• Then create the data collection tools

The participant Tracking Form will be a very useful tool for me to collect data during my future projects. I have learned that it is very important to think through and select the best data collection tools for a project and this should be in alignment with the indicators. I am enjoying the way the information in this course is flowing.

Creating data tools is very important in any project because it becomes easier to fast tract the monitoring and evaluation processes.

Creating workable data tools are essential to sustainable monitoring and evaluation plan.

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 stand-
alone tool, but could also be implemented as part of a
wider methodology, such as a Randomised Control Trial
(RCT). Similarly, case studies or stories of change can be
used in isolation, but can also be used as part of a wider
methodology, such as Most Significant Change (MSC).
Within M&E, some complex methodologies are designed to
cover both data collection and analysis. However, the basic
tools listed below are not associated with specific analysis
methods. All can be analysed using a range of different
techniques and approaches. Some tools, such as case
studies or focus group discussions, are more often analysed
using qualitative techniques, whilst others, such as surveys,
tend to be analysed quantit

Imagine how difficult it would be to account for Loans disbursed without a paper trail... having worked in the microfinance sector we employed the use of both hard copies and soft copies for our loan application for clients that wanted to obtain loans, so if the information on the computer was corrupted or the laptop was stolen or back-up didn't work we had the paper hardcopies to go back to; hence the reason why these copies should always be kept in a safe place.

Make your indicators specific measurable and time bound

The type of data collection tools used are determined by the type of data to be collected

Using data collection method and developing data collection tools are not easy jobs. I always brainstorm with my colleagues in field and central offices in choosing data collection method. As well in data collection tools I think both as tools designer and as respondent.

For conducting M&E exercises I usually deploy survey, focus groups and field observations to have more extrapolate and relaible data.

learning more about data collection tools illuminates the mistakes I have made previously while creating tools

I loved the module, where everything is clearly described and explained in a very simple but understandable manner. Thank you

1. Understand your indicator
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

It should be easy to use data collection tool and should be tested prior to deployment

To data management is very key for a successful planning for monitoring and evaluation, which I just learned

Data collection tools do they follow the same template as shown in this module.

Data collection tools include survey forms and interview forms. These tools must have metadata information on them

Basic tools like surveys, observation, and interviews can be used to gather data. There are many different ways to analyze this data. A defined tool or methodology is used in more complex approaches to incorporate various data selection, collection, and analysis processes.

What do you think is the best app for collecting data on both offline and online?

are the forms and documents you use to gather data. Depending on the data collection method, source, and frequency, you can prepare your tools. When choosing or creating a data collection tool, one should take into consideration Who will make use of this tool? Concentrate on the Important Information, collect metadata, Test your tool beforehand, Provide instructions and train staff on how to use your tool

selecting tools that best match the data you need and population you are targeting is key for reliability.

Tester mon formulaire de suivi me permet de faire moins d'erreur.

it is very important to know the data collection method and different tools you have to use when you are in process of data collection at the field.

La sélection des méthodes des collectes des données je trouve cela très instructives par le fait que cela est expliquer d'une manière simple et claire par ce que se l'un des points le plus important vu qu'un mauvais choix risquerai des désorienter le projet ,

indicator: the number of students registered, one must record: the name, surname, age, series of baccalaureate, the city and the sector. the form will be completed by the school management.

Imagine how difficult it would be to account for Loans disbursed without a paper trail... having worked in the microfinance sector we employed the use of both hard copies and soft copies for our loan application for clients that wanted to obtain loans, so if the information on the computer was corrupted or the laptop was stolen or back-up didnt work we had the paper hardcopies to go back to; hence the reason why these copies should always be kept in a safe place.

1.I would like to to know more on how to create a participant tracking form.

2. What are the tools needed for planning and for data collection.

Very important topic. Thoughtfully creating data collection tools can minimize efforts and maximize the data captured. However, they should be contextual and it is very important to understand the users and their limitations while designing one.

data collection tool in any part of research project you are undertaking, a data collection tool is not useful if it cannot gather the required information need.

in choosing data collection methods can you use one method of data collection for all your indicators?

This is the practical guide in the process. It helps to capture both quantitative and qualitative metrics of the M&E exercise. It also aids in generating feedback on how effective the exercise has been.

How practical is it to use mobile phones for surveys? I have only ever used paper forms, from which the data collection team have entered the information manually into the computer - in this case, Survey Monkey. I am just concerned that errors could occur when entering the information as essentially a "two-step" process.

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. It focuses on finding out all there is to a particular subject matter. Data is collected to be further subjected to hypothesis testing which seeks to explain a phenomenon.for creating data collection tools we need to identify who will use this tool and the user maybe a staff member , volunteer or a partner . to create we need to focus on essential information , collect metadata ,pre-test your tool and train staff to use the tool and include instructions .

A good data collection toll will simplify the process and make more elaborate to each and every one involved in the process, Its of importance to ensure that your data collection tool shouldn't be complicated to ensure that even the lowest educated staff or participant can be in a position to read and understand it on there own.
In simple terms a data collection tool should be simple but well detailed

A good data collection toll will simplify the process and make more elaborate to each and every one involved in the process, Its of importance to ensure that your data collection tool shouldn't be complicated to ensure that even the lowest educated staff or participant can be in a position to read and understand it on there own.
In simple terms a data collection tool should be simple but well detailed

Participation tracking form helps in Doing M and E

I agree with you

choosing appropriate data collection tool if mandatory to have the information we need to get about our indicators

choosing appropriate data collection tool if mandatory to have the information we need to get about our indicators

It is very important to create your data collection tool with much consideration to who, whom, where and what kind of data will be collected with the tool.

Educate team members/ volunteers on the how to use the tool chosen.

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. It focuses on finding out all there is to a particular subject matter. Data is collected to be further subjected to hypothesis testing which seeks to explain a phenomenon.for creating data collection tools we need to identify who will use this tool and the user maybe a staff member , volunteer or a partner . to creat we need to focuss on essential information , collect metadata ,pre-test your tool and train staff to use the tool and include instructions .

• Make a list of all the necessary data gathering tools using a Data Collection Planning Worksheet that has been completed.
  *Establish which investigative inquiries will be asked of which audiences using the aforementioned tools.
• Think about the kinds of instruments you'll require, and schedule the production of all those of a similar kind at once. Create all the surveys you'll require, for instance, before moving on to the interview protocols, documentation forms, etc.
• Select a few people from each data source group to use as pilot test subjects for your developed data collection instruments.
• The data collection team must have the instruments ready for use before using them. Provide an electronic or printed copy of the self-administered survey to the people in charge of distribution as needed.

Specific Data Collection Techniques

Primary Data Collection.
Interview
The researcher asks questions of a large sampling of people, either by direct interviews or means of mass communication such as by phone or mail. This method is by far the most common means of data gathering.

Projective Data Gathering.
Projective data gathering is an indirect interview, used when potential respondents know why they're being asked questions and hesitate to answer. For instance, someone may be reluctant to answer questions about their phone service if a cell phone carrier representative poses the questions. With projective data gathering, the interviewees get an incomplete question, and they must fill in the rest, using their opinions, feelings and
attitudes.

Focus Groups.
Focus groups, like interviews, are a commonly used technique. The group consists of anywhere from a half-dozen to a dozen people, led by a moderator, brought together to discuss the issue

Questionnaire.
estionnaires are a simple, straightforward data collection method. Respondents get a series of questions, either open or close-ended, related to the matter at hand.

Secondary Data Collection.

Unlike primary data collection, there are no specific collection methods. Instead, since the information has already been collected, the researcher consults various data sources, such as :
Financial Statements
Sales Report
Retailer/Distributor/Deal Feedback Customer Personal Information (e.g., name, address, age, contact info). Business Journals
Government Records (e.g., census, tax records, Social Security,trade/Business Magazines)
The Internet

DATA COLLECTION TOOLS

Now that we’ve explained the various techniques, let’s narrow our focus even further by looking at some specific tools. For example, we mentioned interviews as a technique, but we can further break that down into different interview types (or “tools”).

Word Association
The researcher gives the respondent a set of words and asks them what comes to mind when they hear each word.

Sentence Completion
Researchers use sentence completion to understand what kind of ideas the respondent has. This tool involves giving an incomplete sentence and seeing how the interviewee finishes it.

Role Playing.
Respondents are presented with an imaginary situation and asked how they would act or react if it was real.

In-person Surveys.
The researcher asks questions in person.

Online/Web Surveys
These surveys are easy to accomplish, but some users may be unwilling to answer truthfully, if at all

Mobile Surveys .
These surveys take advantage of the increasing proliferation of mobile technology. Mobile collection surveys rely on mobile devices like tablets or smartphones to conduct surveys via SMS or mobile apps.

Phone Surveys.
No researcher can call thousands of people at once, so they need a third party to handle the chore. However, many people have call screening and won’t answer.

Observation.
Sometimes, the simplest method is the best. Researchers who make direct observations collect data quickly and easily, with little intrusion or third-party bias.
Data collection tools

A data collection tool is a software, algorithm, or some other instrument for gathering data. The success of the process is defined by choosing the most suitable tool. These tools are based on different methods of data collection. Some of them include direct questions concerning customers’ preferences, while others monitor what customers do on the webpage or how they interact with different online or offline elements.

The best data collection methods for academic, opinion, and product research are described in detail in the following:

1. Interview.
   An interview is a personal conversation between two people that collects information for research purposes. Interviews can be structured, semi-structured, or unstructured.

Structured interviews are just verbal questionnaires, which makes them a little superficial and not very time-consuming.

Semi-structured interviews contain several key questions that cover the research topic in a deeper way.

Unstructured interviews are in-depth ones and are designed to collect as much information on the subject as possible.

Interviews offer flexibility when it comes to the level of immersion and time consumption, but they may be rather expensive to organize.

All types of recorders, including dictaphones and digital cameras, can be used for interview organizations.

2. Questionnaires.
   A questionnaire is a data-collecting tool that consists of a series of questions that can cover different topics and are answered by the target audience. All the questions can be divided into three big groups: fixed-alternative, scale, and open-ended. The choice of questions is defined by the purpose and scope of the research. Questionnaires are an easy and cost-effective way to collect data sets with a variety of options for data representation. At the same time, respondents may lose interest in the middle of the questionnaire or leave some questions unanswered.

3. Data Reporting
   The data reporting process is based on gathering information and submitting it for further analysis. The key factor of this method is using a reliable data source, as inaccurate information can lead to bad decisions. Despite the fact that data reporting can help with decision-making, results may be biased, as the source of information may present it in a subjective way, or respondents might not give detailed answers. The main sources of information for data reporting include non-governmental organizations, newspaper and website articles, and even hospital records.

4. Existing Data.
   This method introduces new information to existing data. Getting data from existing sources like archives or research journals can be a good example. The main advantage of this method is data accuracy and its easy accessibility. Still, some problems with data evaluation and understanding may occur.

5. Observation.
   As we can see from the name of this method, data is gathered through observation of the research object. The observer can be an observer, participant, or both. This method is easy to organize, it is applied practically everywhere, and the respondents don’t have to create any reports afterward. The drawbacks of observation include such factors as unpredictable validity and costly organization. The main tools for observation include checklists and direct observation.

6. Focus Groups
   This method is applied for qualitative analysis of the object when it is necessary to collect data about the respondents’ feelings and opinions. The focus groups are offered open-ended questions in order to get feedback. This method is cost-effective, and the gathered data is usually very detailed. But bias may occur, and the outcomes are usually uncontrollable. Difficulties with assembling an inclusive group of respondents are also a common thing. The best tools to get the answers from the focus group are the following.

Two-way. In this case, one focus group is answering the questions, while the second one listens to them and offers its own point of view on the problem to initiate further discussions afterward.

How to prepare Data Collection tools

Step 1: Identify Goals and Performers.

Step 2: Create Investigative Questions.

Step 3: Develop a Data Collection Plan.

Step 4: Create Data Collection tools..

Step 5: Collect Data.

Step 6: Analyze Data and Identify Gaps.

Step 7: Summarize Findings & Prioritize Actions.

Creating Data collection tools

Specific Data Collection Techniques

Primary Data Collection.
Interview
The researcher asks questions of a large sampling of people, either by direct interviews or means of mass communication such as by phone or mail. This method is by far the most common means of data gathering.

Projective Data Gathering.
Projective data gathering is an indirect interview, used when potential respondents know why they're being asked questions and hesitate to answer. For instance, someone may be reluctant to answer questions about their phone service if a cell phone carrier representative poses the questions. With projective data gathering, the interviewees get an incomplete question, and they must fill in the rest, using their opinions, feelings and
attitudes.

Focus Groups.
Focus groups, like interviews, are a commonly used technique. The group consists of anywhere from a half-dozen to a dozen people, led by a moderator, brought together to discuss the issue

Questionnaire.
estionnaires are a simple, straightforward data collection method. Respondents get a series of questions, either open or close-ended, related to the matter at hand.

Secondary Data Collection.

Unlike primary data collection, there are no specific collection methods. Instead, since the information has already been collected, the researcher consults various data sources, such as :
Financial Statements
Sales Report
Retailer/Distributor/Deal Feedback Customer Personal Information (e.g., name, address, age, contact info). Business Journals
Government Records (e.g., census, tax records, Social Security,trade/Business Magazines)
The Internet

DATA COLLECTION TOOLS

Now that we’ve explained the various techniques, let’s narrow our focus even further by looking at some specific tools. For example, we mentioned interviews as a technique, but we can further break that down into different interview types (or “tools”).

Word Association
The researcher gives the respondent a set of words and asks them what comes to mind when they hear each word.

Sentence Completion
Researchers use sentence completion to understand what kind of ideas the respondent has. This tool involves giving an incomplete sentence and seeing how the interviewee finishes it.

Role Playing.
Respondents are presented with an imaginary situation and asked how they would act or react if it was real.

In-person Surveys.
The researcher asks questions in person.

Online/Web Surveys
These surveys are easy to accomplish, but some users may be unwilling to answer truthfully, if at all

Mobile Surveys .
These surveys take advantage of the increasing proliferation of mobile technology. Mobile collection surveys rely on mobile devices like tablets or smartphones to conduct surveys via SMS or mobile apps.

Phone Surveys.
No researcher can call thousands of people at once, so they need a third party to handle the chore. However, many people have call screening and won’t answer.

Observation.
Sometimes, the simplest method is the best. Researchers who make direct observations collect data quickly and easily, with little intrusion or third-party bias.
Data collection tools

A data collection tool is a software, algorithm, or some other instrument for gathering data. The success of the process is defined by choosing the most suitable tool. These tools are based on different methods of data collection. Some of them include direct questions concerning customers’ preferences, while others monitor what customers do on the webpage or how they interact with different online or offline elements.

The best data collection methods for academic, opinion, and product research are described in detail in the following:

1. Interview.
   An interview is a personal conversation between two people that collects information for research purposes. Interviews can be structured, semi-structured, or unstructured.

Structured interviews are just verbal questionnaires, which makes them a little superficial and not very time-consuming.

Semi-structured interviews contain several key questions that cover the research topic in a deeper way.

Unstructured interviews are in-depth ones and are designed to collect as much information on the subject as possible.

Interviews offer flexibility when it comes to the level of immersion and time consumption, but they may be rather expensive to organize.

All types of recorders, including dictaphones and digital cameras, can be used for interview organizations.

2. Questionnaires.
   A questionnaire is a data-collecting tool that consists of a series of questions that can cover different topics and are answered by the target audience. All the questions can be divided into three big groups: fixed-alternative, scale, and open-ended. The choice of questions is defined by the purpose and scope of the research. Questionnaires are an easy and cost-effective way to collect data sets with a variety of options for data representation. At the same time, respondents may lose interest in the middle of the questionnaire or leave some questions unanswered.

3. Data Reporting
   The data reporting process is based on gathering information and submitting it for further analysis. The key factor of this method is using a reliable data source, as inaccurate information can lead to bad decisions. Despite the fact that data reporting can help with decision-making, results may be biased, as the source of information may present it in a subjective way, or respondents might not give detailed answers. The main sources of information for data reporting include non-governmental organizations, newspaper and website articles, and even hospital records.

4. Existing Data.
   This method introduces new information to existing data. Getting data from existing sources like archives or research journals can be a good example. The main advantage of this method is data accuracy and its easy accessibility. Still, some problems with data evaluation and understanding may occur.

5. Observation.
   As we can see from the name of this method, data is gathered through observation of the research object. The observer can be an observer, participant, or both. This method is easy to organize, it is applied practically everywhere, and the respondents don’t have to create any reports afterward. The drawbacks of observation include such factors as unpredictable validity and costly organization. The main tools for observation include checklists and direct observation.

6. Focus Groups
   This method is applied for qualitative analysis of the object when it is necessary to collect data about the respondents’ feelings and opinions. The focus groups are offered open-ended questions in order to get feedback. This method is cost-effective, and the gathered data is usually very detailed. But bias may occur, and the outcomes are usually uncontrollable. Difficulties with assembling an inclusive group of respondents are also a common thing. The best tools to get the answers from the focus group are the following.

Two-way. In this case, one focus group is answering the questions, while the second one listens to them and offers its own point of view on the problem to initiate further discussions afterward.

How to prepare Data Collection tools

Step 1: Identify Goals and Performers.

Step 2: Create Investigative Questions.

Step 3: Develop a Data Collection Plan.

Step 4: Create Data Collection tools..

Step 5: Collect Data.

Step 6: Analyze Data and Identify Gaps.

Step 7: Summarize Findings & Prioritize Actions.

Creating data collection tools we have to know the difference methods and select the one that is good for each and under stand best practice.

Creating tools for data collection is a lot fun. Especially, in survey research. Using the literature to find so many different measures for survey can save a lot of time and money, while also gaining a lot of knowledge about what has been studied in the field already.

CREATING DATA COLLECTION TOOLS
1.Understanding your indicators-understand how indicators should be measured and how to disaggregate the indicators is it by age,village or town

2.what type of information to record-This involves after knowing your indicator which describe things to record in the project like amount of resources given to beneficieries and amount of beneficieries received the resource ,this resource can be inform of marial or money.

3.how the form will be filled in-firstly we need to consider who is to fill this form and we can come up with some short codes for longer terms as a key hints instead of writting the longer terms.

4.create the form-Now to create a form we need to consider the best and easy to use software to create a form for example we can user the word processor to create a form which with have blank tables to fill and check box.

5.test the form.After completing the form before submiting to field officers and other related post we need to test the form first with dummy data so that you can observe errors made and some important field missed during form creation.

6.revise the form-after conducting the test using dummy data with errors and other observation the form can be revised.

knowing why you are collecting data, and who are you targeting is an essential part on knowing how to create a good data collection tools

la compréhension des outils de récolte est très capital pour une bonne qualité des données.

There are hundreds of tools used for creating data collection in which we have
1- participant tracking tools: this type of tool collect data on people who participate in a project, any project that has human participant can use a participant tracking form. A participant tracking form records a few pieces of information about every person who participat in a project, for example a construction project will record information of who visited the site while education will record information on who attended classes. A well designed participant tracking form makes it very simple for a user to record who participated in a project, at what time and in what way.
There are six step to creating a good participant tracking form which includes
1 understand your indicator
2 decide which type of information to record
3 decide how your form will be filled
4 create your form
5 test your form
6 revise your form

I loved the module, where everything is clearly described and explained in a very simple but understandable manner. Thank you, everything is clear

Data collection tools are so many and are including
Household Survey
Participant trucking form
Observation
Focus groups discussion(FGD)
Key informative interview( KII)
Community workshop meetings

For every project we need to create Data Collection Tools

This has been amazing journey, I have learnt about meta data and their importance.

Data collection tools are important and most challenging task. It requires some level of expertise to create a tools for data collection. If it not developed properly, the kind of data collected will be wasted and useless for the project. Therefore, it is important for the project to wisely create the tools before any data is collected from the field and participants. It is also going to cost the project lots of money if data collection has to be done time and again due to inadequate collection of information.

Data collection tools are important and most challenging task. It requires some level of expertise to create a tools for data collection. If it not developed properly, the kind of data collected will be wasted and useless for the project. Therefore, it is important for the project to wisely create the tools before any data is collected from the field and participants. It is also going to cost the project lots of money if data collection has to be done time and again due to inadequate collection of information.

providing data collection tool is critical thing to capture information about Indicators .and must be select appropriate data collection method ,because indicators are vary one to another.the other basic thing in data collection process is follow steps one bay one, those steps are one -six.

providing data collection tool is critical thing for capturing information about indicators ,and selecting appropriate method of data collection tool based on indicators is necessary because indicators are vary from one to another. everyone must be follow the necessary steps of data collection process when creating data collection tools or common steps one-six.

data collection tools help the researcher collect information systematically. it lays down specific guidelines to help in data collection

data collection tools help the researcher collect information systematically. it lays down specific guidelines to help in data collection

You need to stick to essential data as much as possible

Data collection tools are important and most challenging task. It requires some level of expertise to create a tools for data collection. If it not developed properly, the kind of data collected will be wasted and useless for the project. Therefore, it is important for the project to wisely create the tools before any data is collected from the field and participants. It is also going to cost the project lots of money if data collection has to be done time and again due to inadequate collection of information.

Data collection tools are important and most challenging task. It requires some level of expertise to create a tools for data collection. If it is not developed properly, the kind of data collected will be wasted and useless for the project. Therefore, it is deemed important for the project to wisely create the tools before any data is collected from the field and participants. It is also going to cost the project lots of money if data collection has to be done time and again due to inadequate collection of information.

Yes, I totally agree with you but it is also important to know what type of data collection tools are we referring to. I believe not all the data collection tools will be important unless it is created by an expert with all the considerations being given due importance.

Yes, we should have that ability and skills to identify essential data.

Most revolve around a core set of fundamental tools. Interviews, focus group discussions, observation, photography, video, surveys, questionnaires, and case studies are examples. Direct measurement, secondary data review, and informal project / program management processes can all generate data.

Most data collection tools can be used at any stage of the project cycle i.e during project design,planning ,monitoring,review,evaluation or during impact assessment.Furthermore the type of data to be collected(either qualitative or quantitative)will dictate on the type of tool to be used.

Data collection tools are the devices or instruments for gathering data, such as a paper questionnaire or computer-assisted interviewing system.
Before designing data collection tool, you have to consider the background of the user, his/her education background, experience of using data collection tools. Also consider how the data is going to collected These include interviews, focus group discussions, observation, photography, video, surveys, and questionnaires.

Most data collection tools can be used at any stage of the project cycle i.e during project design,planning ,monitoring,review,evaluation or during impact assessment.Furthermore the type of data to be collected(either qualitative or quantitative)will dictate on the type of tool to be used.

data collection tools help the researcher collect information systematically. it lays down specific guidelines to help in data collection

I think that to enter daily the collected data through the form helps to better organize the information than keeping it for one day. And it reduces the amount of work.
Using capital letters is also a good tip, because some people has a not easely legible handwriting.

Other good trip I have seen, is to fill in online forms. Doing it, we save time.

How to create remote monitoring and evaluation tool?

creating data collection tools is very important as data collection one of the important components in M&E plan

creating data collection tools is very important as data collection one of the important components in M&E plan

creating data collection tools is very important as data collection one of the important components in M&E plan

data collection is one of the key subject in M&E

A VERY IMPORTANT TOPIC AND HAS TO BE HANDLED WITH SUCH A GREAT COMMITMENT

THAT IS VERY TRUE

Good and interest topics, very important for our knowledge

to create a data collect tools, you need to conduct survey, enter data, send your reports to the M&E team who will analyze and send the project manager.
-+

data collection Tools : these are the tools used to collect data survey, focus group, interview , observation and document review, community workshop,

The data collection should be precise and transparent
data collection tools must be updated and avoid from outdated tool at all cost

Finding it difficult to apply the lessons in this module to interventions that don't have a typical donor/recipient framework, such as multistakeholder collaborations and systemic interventions.

• list item

There are a number of ways for creating data collection tools. The following design tips should be useful, regardless of the type of data collection tool that you are creating:
Identifying who will use the tool, focusing on essential information, collecting metadata, Pre-test the tool and Training staff to use the tool and including instructions.

Identifying who will use the tool, focusing on essential information, collecting metadata, Pre-test the tool and Training staff to use the tool and including instructions.