For universities & training providers

Assess complex project work with stronger evidence.

Give faculty a clearer view of how applied work developed—and give learners credible evidence of what they can genuinely do.

Capstone evidence overviewCOHORT 2026 · 42 LEARNERS
Review ready34↑ 81% of cohort
Material claims286242 source-linked
Awaiting review083 need attention

Learner / projectEvidenceStatus

AA. MalikMaintenance triage88%Review ready
NN. PatelDemand forecasting76%Faculty review
SS. RahmanService analytics61%Needs evidence

The current reality

Final-submission assessment leaves important questions unanswered.

01

AI-assisted submissions

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02

Unclear individual contribution

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03

Evidence scattered across tools

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04

Manual supervision & reconstruction

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05

Inconsistent capstone quality

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06

Difficult moderation

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07

Weak employability outputs

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08

Little visibility into development

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Institutional outcomes

From scattered project files to defensible capability evidence.

Howthy complements your current LMS and project tools with the evidence layer complex work is missing.

01

Authentic, transparent assessment

See contribution, AI use, decision history, tests, reviews, and limitations alongside the final output.

02

Structured supervision

Use shared milestones and evidence requirements to improve consistency without forcing every project into the same method.

03

Moderation & quality assurance

Create reusable records for moderation, accreditation, programme review, and assessment disputes.

04

Better learner reflection

Help learners explain decisions, corrections, failures, and the boundaries of what their work demonstrates.

05

Clearer graduate capability

Turn a capstone grade into evidence employers can understand and learners can responsibly share.

06

Less reconstruction

Review important claims in context instead of piecing together repositories, drives, email, and presentations after the fact.

Start with one programme

A focused pilot, not a university-wide system change.

Test Howthy inside one real capstone or applied module. Learn from your faculty and learners before expanding.

Discuss your workflow
01

FrameOne programme, cohort, and applied-project workflow

02

ConfigureShared evidence framework and AI-use expectations

03

OnboardFocused faculty and learner preparation

04

RunReview-ready Build Records during the live module

05

LearnPilot findings, workflow evidence, and recommendations

Built around trust

Transparent without becoming surveillance.

No hidden monitoring

Learner-controlled sharing

Review material claims, not every keystroke

Explicit retention and visibility rules

AI use contextualised—not automatically punished

Limitations remain visible

Start focused

Strengthen the evidence behind your next capstone.

Explore a focused institutional pilot built around one cohort and your existing assessment workflow.