Discovery & research
Dovetail
Organise customer interviews and feedback, then explore recurring themes with links back to the evidence.
Use it for
an opportunity brief grounded in customer problems and supporting interview excerpts.
Library · External resources
Explore external apps and references for discovery, delivery and AI evaluation. These are links to other organisations, not SansarAI draft tools or guides.
A considered starting point
20 external apps · 19 articles & references
Checked October 2026
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39 of 39 resources
Editorial selection, not a ranking
Discovery & research
Organise customer interviews and feedback, then explore recurring themes with links back to the evidence.
an opportunity brief grounded in customer problems and supporting interview excerpts.
Competitive intelligence
Research questions across the web and follow cited sources to check the resulting synthesis.
a first-pass competitor landscape; verify important claims against competitors' own documentation.
Discovery & research
Run studies to investigate customer needs, test concepts and evaluate prototype usability.
Test whether customers understand an AI feature's value and can complete its core workflow.
Competitive intelligence
Explore website and app audiences, traffic patterns and competitive market signals.
Compare acquisition channels and investigate opportunities. Treat third-party traffic figures as estimates, not exact internal analytics.
similarweb.com
Prioritisation & roadmaps
Connect customer feedback and feature ideas with product objectives and shared roadmaps.
Make evidence and strategic rationale behind roadmap choices visible.
productboard.com
Collaboration & planning
Bring research synthesis, journey maps, workshops and product plans together on a collaborative canvas.
Map an AI-assisted journey and discuss opportunities, assumptions and trade-offs.
Prototyping
Collaborate on interface designs and interactive prototypes before implementation.
Explore AI suggestions, confidence cues, overrides and recovery flows.
Prototyping
Describe a web product in natural language, then iteratively build and refine a working experience.
Create a functional concept prototype for stakeholder reviews and early feedback.
Analytics & measurement
Investigate product behaviour, user journeys and conversion patterns through product analytics.
Examine adoption and repeat usage, then investigate abandonment.
Analytics & measurement
Explore event-based product behaviour to understand conversion, engagement and retention.
Compare activation and retention across cohorts after introducing an AI-assisted workflow.
Prioritisation & roadmaps
Intercom explains reach, impact, confidence and effort, including where judgement should override a score.
Calibrate estimates before using the SansarAI RICE calculator.
Product strategy
SVPG frames discovery around value, usability, feasibility and business viability.
Review an AI concept with product, design and engineering before funding delivery.
Discovery & research
Product Talk connects a desired outcome to opportunities, possible solutions and assumption tests.
Compare AI and non-AI solutions without predetermining the feature.
Responsible AI
Google PAIR's human-centred AI design guidance covers trust, explanations, control and errors.
Review onboarding, limitations, feedback and fallback. Foundational design guidance, not a regulatory checklist.
pair.withgoogle.com
AI evaluation
Anthropic turns quality goals into measurable success criteria and task-specific evaluations.
Agree task success, consistency, latency and privacy criteria with engineering and domain experts.
Prompting & prototyping
Claude-specific guidance on explicit instructions, relevant context, examples and output constraints.
Prototype repeatable feedback synthesis or classification and evaluate prompt changes.
platform.claude.com
Analytics & measurement
Amplitude explains how to define customer-value metrics and the inputs a team can influence.
Align on an outcome beyond generated outputs or feature clicks.
Product strategy
Strategyzer maps customer jobs, pains and gains against a proposed offer.
Clarify the customer problem and identify assumptions to test.
Prototyping
Build and iterate on a working app from a written brief, with code and hosting in the same environment.
Make a realistic prototype when stakeholders need to try a workflow rather than review a specification.
Keep in mind: Treat generated apps as unreviewed software. Check accessibility, authentication, data handling and failure states before real users or sensitive data enter the system.
Analytics & measurement
Bring product events, session replay, feature flags and experiments into one place to investigate behaviour and test changes.
Connect a funnel drop-off to observed sessions, then measure a proposed improvement.
Keep in mind: Define and validate your events first. Mask sensitive fields and check consent requirements before collecting behavioural data.
Analytics & measurement
Use session recordings and heatmaps to see where visitors hesitate, click or abandon a page.
Investigate a confusing form or landing-page journey before designing the next test.
Keep in mind: A recording shows behaviour, not the person’s motivation. Combine it with interviews and verify masking and consent settings.
clarity.microsoft.com
Prioritisation & roadmaps
Organise initiatives, projects and issues so a product decision can stay connected to delivery work.
Turn an agreed opportunity into a scoped project with ownership, milestones and visible follow-through.
Keep in mind: A tidy backlog does not validate demand. Keep customer evidence and outcome measures attached to the work.
Prioritisation & roadmaps
Collect ideas and supporting evidence, compare them with consistent criteria, and connect priorities to Jira delivery.
Make roadmap trade-offs visible when several teams need to agree what happens next.
Keep in mind: Scores reflect the assumptions you enter. Record confidence, dependencies and the reason for any override.
Workflow automation
Build inspectable workflows with visual steps, code and AI components for repeated product operations.
Create a reviewed feedback-triage pipeline that classifies incoming items and drafts a weekly summary.
Keep in mind: Design approval steps, duplicate protection, error alerts and a way to stop the workflow. Self-hosting also creates maintenance and security responsibilities.
Workflow automation
Connect repeatable steps across business apps, including AI-assisted classification and drafting where appropriate.
Route product feedback into a review queue and prepare a digest without manually copying each item.
Keep in mind: Check the exact trigger and action your apps support. Test permissions, retries and duplicate records before switching a workflow on.
Collaboration & planning
Combine linked records, views and automations to build a lightweight product-operations workspace.
Keep research evidence, opportunities, experiments and owners connected in a shared tracker.
Keep in mind: Agree on record ownership and field definitions early. Review access and limits before using it as an operational system.
AI evaluation
Inspect AI application traces and compare prompt or model changes against datasets and evaluation scores.
Check whether a new AI workflow improves real tasks without regressing on important edge cases.
Keep in mind: Useful results need representative test cases and reviewed scoring criteria. Production traces may contain private data, so minimise and redact what you capture.
Discovery & research
Gather feedback from people using concepts, prototypes and live experiences, with analysis support for finding recurring issues.
Observe how the target audience understands and completes a task before committing to a design direction.
Keep in mind: Screen for the right participants and use neutral tasks. A small qualitative study can reveal problems but cannot estimate their population frequency.
usertesting.com
AI evaluation
A practical guide to comparing AI runs, inspecting individual regressions and keeping the test conditions comparable.
Review a candidate prompt or model against a baseline before approving a release.
Keep in mind: The examples use Langfuse. Apply the comparison principles in your own stack, and include human review for consequential errors.
Product strategy
Marty Cagan explains how product strategy selects important problems and connects them to team objectives through evidence and leadership choices.
Prepare a strategy discussion that names the problems to pursue, the rationale and the work you will leave aside.
Keep in mind: A leadership perspective, not a complete strategy template. Supply your own market evidence, constraints and explicit trade-offs.
Product strategy
A facilitated approach to defining objectives, measurable key results, ownership and regular progress reviews.
Check whether a team objective describes a meaningful change and whether its results can actually be measured.
Keep in mind: Examples and scoring conventions are illustrative. Agree your own baselines, target rationale and distinction between commitments and stretch goals.
Prioritisation & roadmaps
Distinguishes product-wide, field and specialty roadmaps, including their owners, dependencies and collaboration challenges.
Choose the right roadmap scope before combining product, design, engineering and go-to-market plans.
Keep in mind: Written from a UX perspective. A roadmap communicates direction; separately identify any approved delivery dates or external commitments.
Collaboration & planning
Clarifies the driver, approver, contributors and informed audience for a decision, with a record of options and the eventual outcome.
Unblock a cross-functional choice when consultation is happening but nobody knows who can decide.
Keep in mind: A framework does not grant authority. Confirm the actual decision rights and involve people affected by the choice.
Product strategy
An introduction to how product strategy, empowered teams, discovery and delivery fit together, including the responsibilities of product leaders.
Discuss which team conditions need to change before expecting ownership of outcomes.
Keep in mind: This is a particular operating-model perspective. Adapt it to your organisation rather than treating a new team label or ceremony as a transformation.
Product strategy
A manager-led approach to discussing the gap between product-management capabilities and the expectations of a particular role.
Prepare an evidence-based development conversation and choose a small number of capabilities to practise.
Keep in mind: Use as a conversation aid, not an automated employee score. Expectations need local context, direct observation and a fair human review.
Product strategy
PostHog shares its perspective on pricing units, customer fit, billing operations and making charges understandable and predictable.
Generate questions about how a proposed package changes customer behaviour and what it takes to bill it reliably.
Keep in mind: A company-specific viewpoint, not a universal pricing formula. Validate customer value, unit economics and contractual obligations in your own context.
newsletter.posthog.com
Collaboration & planning
A broad launch-planning guide spanning audience research, positioning, coordination, readiness and post-launch evaluation.
Identify missing work across product, marketing, sales and support before agreeing a launch plan.
Keep in mind: The checklist is a starting point, not proof of readiness. Add product-specific quality gates, rollback and accountable go/no-go ownership.
Analytics & measurement
A team exercise for translating a goal into observable signals and measures rather than stopping at a list of completed activities.
Align on what customer or business change would count as progress before building a dashboard.
Keep in mind: A plausible signal is not evidence of causality. Check metric definitions, collection quality and whether the measure can be gamed.
Collaboration & planning
Atlassian describes its approach to reviewing incident impact, contributing causes, response and owned follow-up actions.
Connect a resolved customer-impacting incident to preventive product and operational work that can be checked later.
Keep in mind: Severity thresholds and review timings describe Atlassian’s process. Use your own incident policy, access controls and approved customer communications.