Main website Adaptive evidence model

Software methodology selection

Choose a methodology that fits the work—not the trend.

A research-backed, adaptive assessment for software teams. Get a viability check, best-fit primary approach, adoption-readiness view, and a tailored practice architecture.

Adaptive assessmentA focused recommendation, faster

Starts with the four core sections, then asks only the follow-up questions your answers make relevant. Best when you want a defensible result without reviewing every possible factor.

Full evidence pathThe most complete comparison

Includes every extended evidence question from the start. Best for complex, high-stakes, or unusual environments where additional constraints may change the ranking.

Adaptive: typically 6–9 minutes · Full path: about 12 · No account required
Recommendation blueprintPreview
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Best-fit primary approach

KanbanViable
Service flow · low disruption · explicit WIP limits

Tailored practice architecture

Kanban base + Lean service reviewWIP limits · flow review · explicit policies
Fit

methodology fitresearch-backed recommendation and comparison

23methods, frameworks, and operating models
4distinct decision categories
3coordinated recommendation layers

Built from scholarly studies, primary methodology guides, hybrid agile research, and explicit team-fit rules.

Why use Methodology.Guru?

A methodology answer should be more than a plausible paragraph.

A general AI can suggest a framework. Methodology.Guru runs your situation through a purpose-built decision model—checking prerequisites, disqualifiers, readiness, and fit across every approach before it recommends one.

01

Built for this decision

The questions and scoring were designed specifically to distinguish team methods, named hybrids, scaling frameworks, and operating models.

02

Grounded in more than prompts

The model combines scholarly research, primary framework guidance, hybrid agile research, and explicit comparison rules.

03

It can rule things out

A high match score is not enough. Hard prerequisites expose when Scrum, RAD, SAFe, or another approach is not viable in your actual environment.

04

You can inspect the reasoning

Open any approach to see what matched, what did not, and why the recommendation changed—then use AI to explore the result, not invent it from scratch.