Design Partner Program · Phase 1

Building Intelligence
Together

We're launching the Intelligence module with a select group of Design Partners and Subject Matter Experts. Together, we'll make Synapse the second brain every founder deserves.

Intelligence
Analytics
Actions
Konnect
Build
🏋

Are you a Design Partner?

Watch your onboarding video, learn how testing works, get your promo code, and see what's expected of you.

Go to DP Onboarding →
🔬

Are you a Subject Matter Expert?

Watch your onboarding video, learn how to review sessions, generate fixes, and use the Testiment template system.

Go to SME Onboarding →
Details
Program Plan
The Vision
Intelligence that becomes your co-founder

The Intelligence module discovers, structures, enriches, and refines everything about your venture. A living system that compounds intelligence with every interaction.

Feedback → Product Pipeline
How Feedback Becomes Shipped Improvements
Design partners onboarded 5 founders test features using real venture data Bug reports Screen, console, network, metadata Test sessions NPS, think aloud, page tasks TESTIMENT AI summarizes & analyzes sessions Key findings extracted, patterns detected, sessions structured SME reviews with AI copilot Chats with AI on sessions, analyzes transcripts, identifies root causes Fix generated by SME AI drafts fix from session evidence, SME reviews and refines Core team reviews & approves fix Approved fixes enter the sprint pipeline Fix shipped Improvement goes live, SME retests with original DP
Design Partners
Our Founding Partners

10Demo

Walid Daniel Dib
Validation

Articos

Shaheer Gadit
Ideation

PureVPN

Rohan
Growth

Paio

Rohan
Traction

Zamanat

Ahmed Shafi
Validation
Who's Involved
Two Distinct Roles, One Mission

Design Partners and Subject Matter Experts work in tandem — but never in the same session. This ensures unbiased feedback and expert-grade improvements.

🎯

Design Partners

Real founders using Synapse with their own ventures. They represent the authentic user voice — testing features in context, surfacing friction through genuine usage.

  • Real founders at different venture stages (Ideation → Growth)
  • Use the Synapse widget to report bugs (video/screenshot + auto-captured dev logs)
  • Run guided tests directly from the widget — tasks, NPS, and Think Aloud
  • Provide feedback on their own ventures' data — not synthetic examples
  • Sessions capture video, audio, screen, transcripts, and developer logs
  • Never told what to think — observed in how they navigate and react
🧠

Subject Matter Experts

Domain specialists assigned per feature. Never present during DP sessions. SMEs review all session data in Testiment with AI-powered analysis and generate fixes.

  • Domain experts in AI quality, UX, market intelligence, analytics, and more
  • View all tests, recorded sessions, and AI-generated summaries in Testiment
  • Chat with AI on each test or session — AI acts as your research copilot
  • Generate fix proposals that the Synapse core team reviews and approves
  • Each SME owns specific features and is accountable for their improvement arc
  • Write IRDs for complex issues requiring formal hypothesis validation
Tooling
Testiment — Testing & Feedback Platform

Testiment powers the entire DP & SME feedback loop. A floating widget lives on every Synapse page for bug reporting and guided testing. SMEs review sessions with AI-powered analysis.

For Design Partners
The Synapse Widget & Guided Testing

🐛Bug Reporting via Widget

A floating widget on every Synapse page lets DPs report bugs instantly. Click to capture a video recording or screenshot — console logs, network requests, and action steps are collected automatically.

  • Screen recording or screenshot on click
  • Console & network logs captured automatically
  • Step-by-step reproduction path
  • Browser & device metadata
  • Zero context-switching — stays in-app

▶Guided Test Sessions

DPs click "Run Test" in the widget to start assigned tests. Tasks are presented one at a time with instructions, success criteria, and time limits. Sessions capture video, audio (Think Aloud), and developer logs.

  • Auth directly from Synapse — no separate login
  • Guided tasks with floating task panel
  • NPS & debrief questions after tasks
  • Video, screen, audio + dev logs submitted
  • Think Aloud transcription via Deepgram
For SMEs
AI-Powered Review & Fix Generation

🤖AI Session Review

Every session gets an AI-generated summary highlighting key findings, friction points, and patterns. Chat with AI on any test or session — ask it to analyze transcripts, compare DPs, or draft IRD sections.

  • AI summaries for every recorded session
  • Chat with AI as your copilot
  • Cross-session pattern detection
  • Transcript analysis with timestamps
  • NPS trend analysis per feature

🛠Generate Fixes

After reviewing sessions, SMEs generate fix proposals directly in Testiment. AI analyzes session evidence and drafts concrete fixes. Fixes are submitted to the Synapse core team for approval before entering the sprint.

  • AI drafts fixes from session evidence
  • SME reviews and refines
  • Core team approves or requests changes
  • Approved fixes enter the sprint pipeline
  • Replaces the manual IRD-only workflow
End-to-End Pipeline
From Bug Report to Shipped Fix
01
Bug & Test
DPs use widget to report & test
→
02
Sessions Captured
Video, audio, dev logs, NPS
→
03
AI Summarizes
Key findings extracted
→
04
SME Reviews
AI copilot assists analysis
→
05
Fix Generated
AI drafts, SME refines
→
06
Core Review
Team approves fix
→
07
Fix Shipped
Improvement goes live
Sample Fixes
What Fixes Look Like in Testiment

Testiment uses a structured template system to capture findings. Each fix follows a standard format — from bug reports (ICD) to feedback area findings (A1–A16). AI drafts the document from session evidence, the SME refines it, and the core team approves. Browse examples below.

1 / 4
Master Rollout
Phase-by-Phase Feature Testing

Every feature tested with specific methods, assigned to SMEs, tracked through a complete feedback lifecycle.

P1Intelligence7 features · 23 Mar
▾
CodeFeatureFeedback AreasMethodsSME
F1Canvas — Venture OverviewUX · Output Quality · Data Presentation · Feature Value · Time Saved · MethodologyUTGRNPSSME-01
F2Market Research — MonitorUX · Output Quality · Data Presentation · Feature Value · Time Saved · ReliabilityUTASLOGSME-02
F3Competitor Research — MonitorUX · Output Quality · Data Presentation · Feature Value · Reliability · Missing Cap.UTINTASSME-02
F4Product ResearchUX · Output Quality · Data Pres. · Feature Value · Time Saved · Methodology · ReliabilityUTGRNPSSME-02
F5Brand PageUX · Data Presentation · Feature Value · Reliability · Onboarding5SUTNPSSME-03
F6Target Audience — ECP / ICPUX · Output Quality · Agent Interaction · Feature Value · Methodology · ReliabilityUTINTCOGSME-04
F7Doctrine — Venture DocsUX · Agent Interaction · Feature Value · Methodology · Onboarding · Stage Approp.UTWSLOGSME-01
P2Analytics9 features · 1 Apr
▾
CodeFeatureMethodsSME
F1War ViewUTGRLOGSME-06
F2Theatre ViewUTASLOGSME-06
F3Battles ViewUTINTNPSSME-07
F4Battle ZonesUTCOGLOGSME-07
F5Journeys ViewUTWSASSME-06
F6Profiles ViewUT5SNPSSME-03
F7StrikesUTASLOGSME-07
F8IntegrationsUTASLOGSME-11
F9Event MappingUTCOGGRSME-11
P3Actions5 features · 8 Apr
▾
CodeFeatureMethodsSME
F1Strike ValidationUTINTNPSSME-07
F2Atomic ActionsUTCOGLOGSME-04
F3Squad SetupUTGRNPSSME-04
F4TroopsUTINTLOGSME-04
F5PowerUpsUTASNPSSME-11
P4Konnect5 features · 15 Apr
▾
CodeFeatureMethodsSME
F1ContactsUTASLOGSME-09
F2OutreachUTA/BLOGSME-09
F3InboxUT5SNPSSME-09
F4CalendarUTINTNPSSME-09
F5Interview ToolkitUTWSINTSME-09
P5Build2 features · 22 Apr
▾
CodeFeatureMethodsSME
F1Spec GenerationUTCOGINTSME-10
F2Product BuilderUTINTLOGNPSSME-10
SME Registry
Domain Expert Assignments

Each SME owns specific features and writes IRDs that translate friction into actionable hypotheses.

SME-01
Fakhar Abdullah, Aqib Zafar (AZ)
Output Quality & Methodology
P1-IN-F1, P1-IN-F7
Prompt tuning, agent output quality, stage-gating
SME-02
Fakhar Abdullah, Aqib Zafar (AZ), Emir Arat
Market Intelligence & Data Accuracy
P1-IN-F2, F3, F4
Research output accuracy, data completeness
SME-03
Alemsah
UX & Onboarding
P1-IN-F5, P2-AN-F6
Onboarding flows, learnability, first-impression clarity
SME-04
Bassalat Sajjad, Fakhar Abdullah, Aqib Zafar (AZ)
AI / Agent Quality
P1-IN-F6, P3-AC-F2, F3, F4
HITL, agent trust, directive quality
SME-05
TBA
Knowledge Mgmt & Stage-Gating
P1-IN-F7
Folder structure, agent-to-folder mappings
SME-06
TBA
Analytics & Data Visualisation
P2-AN-F1, F2, F5
Charts, data density, cross-theatre consistency
SME-07
TBA
Strike Intelligence & Battle Zones
P2-AN-F3, F4, F7, P3-AC-F1
AAARRR mapping, lifecycle transitions
SME-08
TBA
Outreach & Messaging Quality
P3-AC-F5 (Outreach PowerUps)
Copy quality, A/B signal interpretation
SME-09
TBA
Konnect & Outreach Intelligence
P4-KO-F1 through F5
Contact enrichment, scheduling, synthesis
SME-10
TBA
Build & Prototype Quality
P5-BD-F1, F2
SDD accuracy, scaffold success rate
SME-11
TBA
Integrations & Data Connectivity
P2-AN-F8, F9, P3-AC-F5
Connector coverage, event mapping accuracy
Taxonomy
Test Methods, Feedback Areas & Reference System

The complete classification system for collecting, categorizing, and tracing every piece of feedback.

10 Test Methods

UT
Usability Test
Live moderated task walk-through
GR
Guided Review
Demo + structured Q&A
AS
Async Survey
Structured feedback form
INT
In-depth Interview
1:1 deep-dive session
5S
5-Second Test
First-impression snap test
COG
Cognitive Walkthrough
Expert heuristic evaluation
LOG
Usage Log Analysis
Behavioural data from sessions
A/B
A/B Experiment
Variant comparison test
NPS
NPS / CSAT Pulse
Post-session satisfaction
WS
Workshop / Co-design
Collaborative design session

12 Feedback Areas

A1
User Experience
Navigation, cognitive load, hierarchy
A2
Output Quality
Accuracy, relevance, completeness
A3
Data Presentation
Charts, tables, info density
A4
Agent Interaction
Directives, HITL friction, trust
A5
Feature Value
ROI, JTBD fit, willingness to pay
A6
Time Saved
Speed vs manual, efficiency delta
A7
Methodology
Prompt structure, step sequencing
A8
Reliability & Trust
Consistency, confidence in outputs
A9
Onboarding
Time-to-value, discoverability
A10
Integration Fit
Workflow compatibility, data I/O
A11
Stage Appropriateness
Right feature at right stage
A12
Missing Capability
Gaps vs JTBD not served

Reference Code Anatomy

P1-IN-F3-A4-10DEMO-UT-SME2
P1
Phase 1
IN
Intelligence
F3
Competitor Research
A4
Agent Interaction
10DEMO
Design Partner
UT
Usability Test
SME2
Assigned SME