Shodhyantri Engineering Services
Research · Analysis · Editing · Publication Support
Design a case study that examiners respect: a clear case, a justified design, several sources of evidence, systematic analysis and honest reporting.
Tell us about your case study support need. We reply within one working day.
Case study research support at Shodhyantri is for scholars who want to study a programme, organisation, community, event or policy in depth and in its real setting. Case studies are popular in management, education, social work, law, health and development studies, but they are often criticised as anecdotal. That criticism usually comes from weak design: an unclear case, a single data source, or analysis that is not explained. We help you avoid these problems in your own study.
We guide you through choosing an approach, defining the case and its boundaries, selecting single or multiple cases, building a case study protocol, collecting evidence from interviews, documents and observation, and analysing it systematically. We also support the reporting of findings in a thesis chapter or journal article. The fieldwork, interpretation and writing are yours. Our role is method guidance, review and editing.
Robert K. Yin describes the case study as an empirical inquiry into a contemporary phenomenon within its real-life context, especially when boundaries between phenomenon and context are not clear. His approach stresses design choices, such as single or multiple cases and holistic or embedded units, and quality tests like construct validity and reliability.
Robert E. Stake takes a more interpretive view. He distinguishes intrinsic cases, studied for their own interest, instrumental cases, studied to understand a broader issue, and collective cases, studied together. Your choice of approach shapes your questions, data and analysis.
We help you explain why a case study suits your question, and which design and approach you follow, citing method literature correctly.
Defining what is and is not part of the case keeps data collection focused and prevents the study from spreading too wide.
We plan several sources of evidence so findings do not rest on interviews alone, which strengthens credibility with examiners.
Coding frameworks, case databases and analysis steps are documented, so readers can see how you reached your conclusions.
For multiple cases, we help you build comparison tables that reveal patterns and differences across cases systematically.
We help you plan consent, confidentiality and permissions, especially when the case is a named organisation or small community.
Ten stages, each with a clear output. Nothing moves to the next stage until you have reviewed the last one.
— You review every stage first, then decide —
Multiple sources of evidence and a chain of evidence link the data to the concepts studied.
For explanatory cases, rival explanations are considered and patterns are matched to propositions.
Theory or replication logic explains how findings from the case may apply beyond it.
A protocol and case database allow another researcher to follow the same steps.
Consent, anonymity and organisational permissions are documented and respected in reporting.
The case is described richly, analysis is explained, and conclusions stay within the evidence.
Every stage is shared with notes explaining what was changed and why. You and your supervisor check it, and the next stage starts only after your go-ahead.
| Common problem | How Shodhyantri helps |
|---|---|
| The case is never clearly defined, so data from unrelated areas creep in. | State the unit of analysis, the setting and the time period, and list what falls outside the case boundary. |
| Calling a small survey of one organisation a case study without in-depth evidence. | Use several sources, such as interviews, documents and observation, and examine the case in its context in depth. |
| No reason given for selecting the particular case or cases studied. | Explain whether the case is typical, critical, extreme, revelatory or chosen for comparison, with reference to method literature. |
| Findings presented as long quotes without analysis or comparison. | Interpret quotes, link them to themes or propositions, and show how different sources confirm or challenge each finding. |
| Claiming statistical generalisation from one or two cases. | Use analytical generalisation to theory, and describe the context richly so readers can judge transferability themselves. |
| Organisation or participants are identifiable despite promises of anonymity. | Use pseudonyms, remove identifying details, and get written permission if the organisation wishes to be named. |
Case studies suit questions about how or why something happens. 'How much' questions often suit surveys better.
In Yin's approach, initial propositions guide what evidence to collect and help focus analysis later on.
Store transcripts, documents, notes and photos in an organised folder. It supports reliability and saves time.
List at least three types of evidence before fieldwork, so triangulation is planned rather than accidental.
Test your interview guide and procedures with one participant or site to fix problems before the main fieldwork.
Draft a full description of each case before comparison. It helps you see each case clearly on its own terms.
Actively test other explanations for what you find. Ruling them out makes your conclusions much stronger.
Cite Yin, Stake, Merriam or Eisenhardt from editions you have read, and use their terms consistently.
Your work is handled by people who read your field's literature, not by a single generalist.
A PhD-qualified specialist from your field who checks the research logic, gap and contribution.
Handles statistics, models and qualitative coding, and documents every analytical decision.
Improves structure, flow, clarity and academic tone without changing your meaning.
Builds and validates MATLAB, Python, ANSYS or COMSOL work where your study needs it.
Checks grammar, consistency, numbering, citations and the small errors examiners notice.
Applies your university or journal template, reference style and front matter exactly.
It depends on your philosophy and purpose. Yin suits studies that want structured design, propositions and validity tests, often in management and policy research. Stake suits interpretive studies focused on understanding a case deeply. We explain both and help you choose and justify one.
There is no fixed rule. A single case can be justified if it is critical, unusual or revelatory. Multiple case designs often use a few cases for replication or comparison. The number should follow your question, resources and the depth each case needs.
No. Fieldwork, interviews and observation must be done by you as the researcher, under your ethics approval. We help you plan instruments and procedures, organise collected data, and guide analysis and reporting.
Yes. Case studies can include records, surveys or performance data alongside qualitative evidence. We help you integrate both types of data within the case, and explain how each contributes to your findings.
We support NVivo, ATLAS.ti and MAXQDA for coding and organising qualitative case data, and Excel or SPSS for any quantitative elements. We can also train you to use the software yourself.
No. Examiners and committees make their own judgement. A clearly justified design, triangulated evidence and transparent analysis address the most common criticisms of case study research, and we help you build these into your study.
No. Teaching cases for classrooms are a different genre. This support is for case study research, where the case is studied systematically to answer a research question. We can advise on teaching cases separately if needed.
We provide research guidance, statistical analysis, editing, formatting and training support. All research content remains the scholar's own work, in line with UGC and university academic integrity norms. We do not guarantee publication, acceptance, indexing or academic outcomes: journals decide through peer review and universities award degrees.
Share your topic, draft or data. We will tell you honestly what it needs, and what it does not, before you pay anything.