Your stack, not ours
We work in R, Python, Stata, SPSS/AMOS and SmartPLS, and deliver in the package your team already uses. If your researchers are committed to R, the entire engagement — code, outputs, replication files — is delivered in R.
Start with the buyer-specific outcome you need. Each priority offer makes fit, deliverables, inputs, timing, indicative investment and ethical boundaries visible before scoping.
Each page includes a fixed-scope first step and one clear action.
Review governance, publication controls, authorship, AI use, data handling and corrections.
Diagnostic · 1–3 weeks · starts at ₹1,00,000→ Higher education · IQACBuild criterion-wise traceability and resolve material evidence gaps before submission pressure.
Diagnostic · 1–3 weeks · ₹1,00,000–₹2,50,000→ NGO · CSR · policy programmesDesign and analyse evaluations that distinguish evidence, inference and limitation.
Diagnostic · 1–3 weeks · engagements ₹75,000–₹4,00,000→ Faculty · researchers · scholarsAlign questions, constructs, data, sampling and models before avoidable rework.
Review · 1–3 weeks · research design ₹15,000–₹1,00,000→Ranges are indicative, not fixed quotes. Each offer page states the included work, required inputs, exclusions and fuller pricing logic; the exact fee and timeline are fixed in a written scope.
Two reproducible research assets show the scale, provenance and analytical pathways behind our impact-analytics work. Every figure below links to its public deposit.
Individual- and country-level conversion measures built from named official sources, with a complete Python pipeline for multilevel, panel, heterogeneity and configurational analysis.
A reproducible framework measuring how Indian states and union territories convert financial access into use, capability and resilience across three weighting schemes.
Evidence label: published, independently accessible research assets. Dataset scale and analytical design are factual; no programme outcome or client result is implied.
Software, timelines, ethics approvals and the use of AI — answered upfront, so nothing surfaces mid-engagement.
We work in R, Python, Stata, SPSS/AMOS and SmartPLS, and deliver in the package your team already uses. If your researchers are committed to R, the entire engagement — code, outputs, replication files — is delivered in R.
Scoping starts by understanding your timeline, then we respond with what is realistically achievable. As a guide: enquiries answered within two working days; a methodology consult typically runs 1–3 weeks; a full evaluation 6–12 weeks. Indicative only — the agreed timeline is fixed in the written scope.
For studies involving primary data from human participants, we ask about institutional ethics / IRB approval at scoping — and can support preparing the application. Where approval is required, fieldwork does not begin without it.
AI tools may assist with bounded tasks — literature scanning, code drafting and editing, formatting. They never generate findings, analysis, citations or academic text for a client to submit as their own; every substantive output is produced and verified by the team, and client data is never entered into public AI systems. See our full AI transparency statement.
A controlled commercial pathway from first diagnostic to final handover. Select a stage to see what enters, what is agreed and what leaves it.
A structured, creditable review of where the engagement actually stands before a solution is proposed.
The diagnostic is translated into written objectives, deliverables, timing and fee before substantive work begins.
The accepted scope becomes a formal engagement with responsibilities, confidentiality and commercial milestones recorded.
Delivery is staged so methods, evidence and emerging outputs can be examined at agreed points—not only at the end.
A final walkthrough records limitations, resolves handover questions and closes the information lifecycle responsibly.
These five stages govern the commercial side of an engagement; the research itself follows the four-phase engagement process described on our homepage. Common questions about pricing logic, authorship and turnaround are answered plainly on the FAQ page.
Use our structured intake form — objective, data status, timeline and expected output — and we respond with a suitable scope, process and next steps, usually within two working days.
These links are editorially mapped to this page so you can move between methods, research, tools, outputs and public verification without returning to the main menu.