Istara

Auto-cluster research nuggets and notes into themes. Users can refine groupings interactively.

Create Says/Thinks/Does/Feels quadrants from interview data, identify contradictions.

Generate 'How Might We' statements from insights, score by impact/feasibility.

Build end-to-end journey maps with stages, actions, emotions, pain points, opportunities — all linked to evidence.

Extract JTBD statements from research, identify functional/emotional/social jobs.

Thematic analysis with Cohen's/Fleiss' Kappa intercoder reliability. Supports agent-only, human-only, or agent+human coding with reliability measurement.

Synthesize evidence-based personas from research data. Every claim linked to sources.

Impact vs Effort scoring, MoSCoW prioritization, stakeholder alignment.

Generate structured research reports: executive summary, methodology, findings, recommendations.

Generate multi-level taxonomies for projects, tasks, features, and companies. Supports fine-tuning depth by context level (company-wide, product, feature, task).

Rigorous coding (open → axial → selective), codebook management, inter-rater reliability.

Document current-state user flows, identify friction points, map to research findings.

Evaluate consistency against design system, identify deviations, accessibility compliance.

Generate developer handoff docs: specs, annotations, edge cases, accessibility requirements.

Track metrics and findings over time, identify trends, seasonal patterns, regression detection.

Calculate NPS, segment analysis, open-ended response analysis, trend tracking.

Before/after comparisons, measure impact of changes, statistical significance.

Organize all research into searchable, tagged repository with atomic research principles.

Analyze research process effectiveness, identify improvements, update team practices.

Generate presentation content from findings, tailored to audience (exec/design/eng).

Calculate SUS/UMUX scores, percentile rankings, benchmark against industry, track over time.

Task completion rates, time-on-task, error rates, efficiency metrics, benchmarks.

Analyze A/B test results — statistical significance, confidence intervals, segment breakdowns.

Analyze open/closed/hybrid card sorts — dendrograms, similarity matrices, IA recommendations.

Systematic task analysis: will user notice, understand, associate, interpret feedback?

Structure concept test protocols, analyze reactions, preference rankings.

Structured critique using UX principles — Gestalt, visual hierarchy, cognitive load, etc.

Evaluate against Nielsen's 10 heuristics (or custom set), severity ratings, prioritized findings.

Process feedback on prototypes, categorize by theme/severity/screen, track across iterations.

Process tree test results — findability, success/directness scores, path analysis.

Create test scripts, process session data, calculate task success/time/errors, identify patterns.

Generate workshop agendas, activities, templates. Process workshop outputs into findings.

Review against WCAG guidelines, identify violations, prioritize by impact, suggest fixes.

Interpret analytics exports — funnels, drop-offs, segments, anomalies, conversion paths.

Deploy interviews, surveys, and diary studies via messaging channels (Telegram, Slack, WhatsApp, Google Chat) with adaptive questioning and real-time analytics.

Research competitors, create feature matrices, identify UX patterns, gaps, and opportunities.

Structure and analyze contextual inquiry observations — studying users in their natural work environment.

Summarize academic papers, industry reports, best practices relevant to the research domain.

Design diary study prompts, analyze entries over time, identify behavioral patterns and emotional arcs.

Structure field notes, code observations, identify cultural and environmental patterns.