Monitoring & Evaluation

Monitoring & Evaluation is about collecting, storing, analyzing and finally transforming data into strategic information so it can be used to make informed decisions for program management and improvement, policy formulation,and advocacy.

We offer a wide range of Monitoring and evaluation consultancy services. We design computer-aided cost-effective M&E systems, we build organization’s M&E systems and capacity, we design project and programme performance tracking systems, and we conduct needs assessments and baseline studies, process or formative evaluations and conduct mid-term, process, output, outcome and impact evaluations.

Our monitoring and evaluation services are tailored to meeting client and project needs in a professional way but also to provide benefits to a wide range of other stakeholders. We provide solution to guide effective management decision making on what is working and not working, we provide solutions to guide development partner decision making, we provide solutions to guide government and its agencies make decisions, and we provide solutions to Academic through Building Models of Application

Monitoring & Evaluation systems

M & E Systems: Monitoring and evaluation system are a key component of good management and accountability. They are essential in determining the extent to which a project has achieved its desired objectives and outcomes, and generating reliable and accurate information for stakeholders. We provides support in design and implementation of monitoring and evaluation mechanisms.

Expertise

PTM has expertise in developing M & E frameworks for monitoring the performance of programs. where our frameworks involves: planing, Monitoring, and Evaluation and Results-based Management. Monitoring process and method, Measurement of results, Supervision in performance monitoring , planning and implementing participatory monitoring, Evaluation processes: Designing an evaluation; and conducting an evaluation. Data analysis; Quantitative data analysis, Qualitative data analysis.Report writing and presentation. Designing an M&E system and change monitoring.

PTM belives in providing its services in line with the 9 principles of digital development. We use open source solutions and allow open source solutions and follow open data standards where possible. We reinvest our own resources to support projects like the longframe lab-a free, open source monitoring and evaluation tool for NGOs that helps them match project ideas with the most relevant metrics for tracking their success. It's our passion, and at the core of why we stared PTM to find better ways to add value to the development community and its stakeholders.

1.Monitoring

From the long-frame to the fieldwork. As monitoring and evaluation consultants, PTM supports programme/project , markets, value chains, and small enterprises, and development actors in every phase of the project cycle. For new projects as well as continuations or scale-ups, PTM supports the development of :

Theory of change (Results chains).
Logical frameworks Results framework, logframes).
Indicators (Relevant, Acceptable, credible, Easy, Robust).
Monitoring tools and plans.
Remote monitoring
Complaint and feedback mechanisms.

2. Evaluation

Evaluations are key part of project management, and PTM offers the full administration of all relevant evaluations. PTM believes in honest evaluations that provide the best benefit to the clients. While it is important to be balanced and to provide insights in the project holistically, one cannot attain an iterative learning agenda and process if one does not address and understand the challenges. This is why PTM strongly believes in constructive feedback and the openness of its clients to provide better solutions for targeted populations in the long term. For accountability and transparency reasons, PTM does not offer evaluations for projects where it participated in the monitoring. Monitoring and evaluation should remain separate and free from bias.

3.Digital Development

working in the field we’ve seen common challenges around effective data collection and usage. Legacy tools and processes, coupled with resources limitations, frequently lead to incomplete, poor-quality data, obscuring key takeaways from programme managers and leadership. Teams are able to collect and organise data from the field much more quickly thanks to rise of digital data collection tools which can combine seamlessly within an ecosystem of open-source tools to underscore learning opportunities. Our approach leverages our partnerships in the power of cloud-of- the- art monitoring and evaluation tools for NGOs.

Once data has been collected, we blend it with simple workflow tools and a centralized reporting that can integrate with third-party software at low maintenance cost costs. Utilising insightful data visualisations, we help programme managers easily track progress towards benchmarks.

4. Research

During the lifetime of any project, the team often realises how small changes could potentially make a significant difference. The new insights gained and gaps identified lead to new project ideas. We have Experts in Data collection who are familiar with the process of gathering and measuring information on targeted variables.

They have worked with established systems, which enable them to answer relevant questions and evaluate outcomes of any research intervention. We ensure accuracy of all our data collection which is essential to maintaining the integrity of research.

5. Data Collection & Quality Control

i. Data Collection & Quality Control

Data collection services include research consultation, servery and questionnaire design, sampling, data collection and data processing. collecting data can be time consuming and often cost a lot. We have the capacity to collect data on a national level using different methods of data collection. PTM consulting services has staff and capacity to collect data in a variety of modes. the staff has significant experience in implementing complex data collection plans and in collecting methods include:

Computer assisted telephone interview (CATI).
Computer assisted personal interviewing (CAPI).
IN person interviewing with paper questionnaires
Video or audio behavioral assessments.
Web surveys
Focus groups.

ii. Data Quality Control

Most organizations/projects are faced with the data quality dilemma. Analysis of project data may leave the relevant personnel with reservations regarding the authenticity of the data, the enumerators or even the project impacts. M&E and other management staff may even contemplate the possibility quality dimensions, causes of poor data and; eventually , ways of improving data quality.

WHAT IS DATA QUALITY?

Data quality refers to a case whereby data that is collected for project purposes is sufficient, accurate, reliable, valid and acceptable. It is the ability of data to serve the purposes for which it was gathered. If data does not meet either of these criteria, then it may not be referred to as quality data.

Indeed, by the very nature of its definition, data quality is quite relative and subjective. While one may view data to be quality, the other might think otherwise. In this case, building consensus about the quality of data within an organization is critical. Nevertheless, it is possible that an organization establishes standards that can therefore be used to determine acceptable quality.

In various experience, data quality gets much less attention than it deserves. Many of the challenges we face in M&E are the result of poor quality data that could have been addressed or prevented at the outset of a program or activity. Rather than focus on the amount of the data we collect, w’d like to make the argument here that we should be focusing more on obtaining the highest quality data, even if that means fewer but arguably better data points.

Data quality issues can either prevent us from using data in the way we intended or make our analysis incomplete. As a result, we end up without a clear sense of how the program is doing and which areas we might need to focus more attention on. When choosing PTM as your M&E partner, you get access to our staff who have experience in the development samples for M&E program/project.

iii. There are a few key dimensions of data quality PTM Consulting services focus on such as:

Completeness: Meaning there are no gaps in the data from what was supposed to be collected to what was actually collected. This means that essentially everyone on your team is reporting a full set of data.
Consistency: Everyone is collecting data in the same way. The goal here is for everyone who collects data to have the same understanding of what to fill in on a data collection form (e.g. for a survey, interview, etc.) and are filling out the form in the same way.
Accuracy: Meaning the data recorded is correct and free of errors.

iV. Reports, Visualization and Analysis

PTM assists organisations in creating tailored visualization platforms, designed to provide complete and automated data overview for process management and organisational improvement.
PTM M&E solution, organizations are assisted in determining key indicators in the early stages, to prepare insight and optimize project output.
Early Stage Analysis: With PTM M&E solution, organizations are assisted in determining key indicators in the early stages, to prepare insight and optimize project output.
Automatic Report Generation: Set up processes to capture trends and key project developments in real-time and enable automated report generation by utilizing tailored software.
Key Indicator Visualization Platforms: Need to keep donors informed about project progress? View world provides automated data feeds, directly from your data collection tool, to a visually attractive, project specific website.

6. Area focused by PTM M & E

Value Chains, Markets and small enterprises
Rural activities systems and producer organisations.
Finance and Micro finance system
Agricultural and regional integration policies
Gender
Local development and decentralization
Performance contract Evaluation