Product behavior
Pages · clicks · visits · sessions
Vision
Product intelligence should explain what happened.
Hymetry is being built to connect product behavior, account context, user activity, and session evidence into one clear system — so teams can understand adoption, detect friction, and decide what to review next.
Some capabilities described on this page are planned roadmap directions and may change as the product evolves.
Product intelligence stack
Directional roadmap
B2B context
Companies · users · attributes · segments
Evidence
Metrics · trends · replay · session narratives
AI explanation
What changed · why it matters · what to review
Team action
Fix friction · help accounts · improve adoption
Why we are building this
Dashboards show numbers. Teams need context.
Most analytics tools can show that something changed. B2B teams need more than that. They need to understand which accounts are affected, which users are involved, which product areas changed, what happened inside the session, and whether the signal deserves action.
Product data is scattered
Pages, users, accounts, replays, support signals, and customer context often live in separate tools.
Global averages hide the truth
A feature can look healthy overall while failing for enterprise customers, new accounts, or a specific onboarding segment.
Replay is powerful but slow
A 20-minute session can contain useful evidence, but teams should not have to watch the whole recording before they know whether it matters.
Available now
The foundation is account-aware product analytics.
Today, Hymetry connects usage across product pages, companies, users, and visits. It helps teams see adoption, engagement, attention signals, and replay context without stitching everything together manually.
Pages
Understand product-area adoption, page metrics, flows, top actions, and where users spend time.
Explore PagesCompanies
See account health, adoption breadth, at-risk companies, reactivation, and expansion opportunities.
Explore CompaniesUsers
Find engaged users, slipping users, momentum signals, peer gaps, and user-level adoption.
Explore UsersVisits
Inspect session timelines and replay context when a product signal needs evidence.
Explore VisitsAI Insights
Summarize what changed, why it matters, and what your team should review next.
Explore AI InsightsPrivacy Controls
Use filters, masking, ignored elements, capture controls, and self-hosted options.
Explore Privacy ControlsWhere we are going
The next step is better context before deeper investigation.
Hymetry's roadmap is focused on reducing the time between seeing a signal and understanding what happened. That means richer account context, faster session review, better friction detection, and AI summaries grounded in evidence.
Company attributes and segments
Add company attributes like plan, industry, lifecycle stage, region, size, ARR band, account owner, onboarding stage, and custom tags. Then use those attributes to segment product usage across Pages, Companies, Users, Visits, and AI Insights.
Compare product behavior across meaningful customer groups instead of one global average.
Session narratives
Generate a text-based description of each user session from page changes, product-area labels, events, clicks, pauses, retries, and replay metadata.
Scan a long recording in seconds, then open replay only when the summary needs visual evidence.
Richer friction signals
Track more signals that show where users struggle, including long loading waits, disabled button attempts, repeated clicks, dead clicks, retry loops, form correction loops, and abandoned workflows.
Understand not just what users did, but where the product made progress difficult.
Evidence-based AI summaries
Use metrics, segments, session narratives, replay context, and product-area structure to generate concise AI summaries that explain what changed and what to review next.
Move from dashboard scanning to a short, evidence-backed explanation.
Planned segmentation
Analyze product usage by the customer groups that matter.
B2B product usage is rarely uniform. Enterprise accounts behave differently from trials. New customers behave differently from mature customers. Accounts in onboarding behave differently from accounts near renewal. Company attributes will let teams create segments that make those differences visible.
Attribute examples
Plan, company size, industry, region, lifecycle stage, ARR band, onboarding stage, account owner, customer tier, integration status, renewal date, and custom tags.
Segment examples
Enterprise accounts, trial accounts, EU accounts, accounts in onboarding, high-value accounts, accounts without Reporting adoption, customers with more than 50 active users, and accounts owned by a specific CSM.
Company attributes
- PlanEnterprise
- RegionEU
- Lifecycle stageOnboarding
- Company size50-200
- ARR band$25K-$100K
- Account ownerSophia Chen
- Integration statusNot connected
Segment: Enterprise onboarding accounts
- Planis Enterprise
- Lifecycle stageis Onboarding
- Regionis EU
- Integration statusis Not connected
Apply segment to
- Pages
- Companies
- Users
- Visits
- AI Insights
Segment insight
Enterprise onboarding accounts adopt Core workspace quickly, but Reporting and Integrations remain shallow.
42 accounts
18% Reporting adoption
6 sessions with setup friction
12 users need attention
Segments should travel across Hymetry.
Once a segment exists, it should not live in only one chart. It should change how teams read every product signal.
Pages
Compare page adoption and product-area usage for a segment.
Companies
Find which accounts inside a segment are healthy, at risk, or ready to expand.
Users
See which people inside a segment are engaged, slipping, or gaining momentum.
Visits
Review sessions from the segment when behavior needs evidence.
AI Insights
Generate summaries that explain what changed for that segment, not just the whole product.
ExampleShow me where Enterprise onboarding accounts struggle before they adopt Integrations.
Planned session understanding
A 20-minute recording should not require 20 minutes to understand.
Replay is valuable, but watching every recording is too slow. Hymetry's direction is to create text-based session narratives that summarize what happened, highlight important moments, and let teams jump into replay only when visual context is needed.
This is not audio recording or speech transcription. It is a structured text description generated from product events, page changes, product-area labels, interaction metadata, and replay context. A 20-minute recording should be scannable in about 10 seconds. Session narratives are planned to include session start, pages visited, product areas touched, important clicks, pauses, retries, errors or failed attempts, abandoned flows, notable friction moments, and exit context.
Raw session
Recording20m
Pages7
Events143
Long pauses2
Disabled action attempt1
Abandoned workflow1
Session narrative
- User entered through Login.
- Opened Projects.
- Moved to Work Packages.
- Applied filters repeatedly.
- Tried a disabled export button.
- Returned to Home.
- Opened Boards.
- Session ended on Boards.
10-second summary
User reached Work Packages after login, spent most of the session filtering tasks, attempted an unavailable export action, then left the workflow and moved to Boards.
Repeated filtering
Disabled button attempt
Workflow changed direction
Replay available
Open replay at 04:06
AI summaries should be grounded in session evidence.
Text descriptions make sessions easier to summarize, compare, and search. When combined with structured metrics, page context, account context, and user history, they can help AI explain what happened without forcing teams to watch every recording.
Captured behavior
Pages, clicks, timing, product areas
Privacy controls
Mask, ignore, filter sensitive values
Session narrative
Readable text description of the session
AI summary
What happened and why it may matter
Replay jump links
Open the exact moment when visual context is needed
Session text should respect the same privacy controls as replay: ignored elements, masked values, and capture scope.
Planned friction signals
Detect the moments where progress becomes difficult.
Friction is not always a visible error. A user can struggle because an item loads slowly, a button is disabled, a form correction repeats, or a workflow sends them in circles. Hymetry's roadmap includes richer events that make those moments easier to find.
Long loading wait
Detect when a user waits too long for a page, table, item, or workflow step to become usable.
May indicate: Work Packages list loading · 9.4s
Disabled button attempt
Detect when a user tries to use an action that is visible but unavailable.
Worth reviewing: Export button clicked while disabled
Dead click
Detect clicks on elements that do not lead to a visible state change.
May indicate: Click produced no navigation or UI update
Repeated clicks
Detect repeated attempts on the same element in a short time window.
Worth reviewing: 5 clicks in 8 seconds
Retry loop
Detect repeated attempts to complete the same action.
May indicate: Submit → error → submit → error
Form correction loop
Detect repeated edits in a form field or repeated validation failures.
Worth reviewing: Billing form corrected 4 times
Backtracking
Detect when a user returns to earlier pages after opening a workflow.
May indicate: Work Packages → Home → Boards
Abandoned workflow
Detect when a session ends before an expected step is completed.
Worth reviewing: Setup started, integration not connected
Friction signals should lead to evidence, not guesses.
The goal is not to create more alerts. The goal is to connect struggle signals to the right evidence: affected pages, affected accounts, affected users, session narratives, and replay moments.
Friction signal
Disabled button attempt
Connected evidence
- PageWork Packages
- CompanyEdgewater Labs
- UserSusan Eriksson
- SegmentEnterprise onboarding
- SessionJun 22, 08:02 pm
- Replay moment04:06
AI explanation
The user attempted an unavailable export action after repeated filtering. This may indicate a permissions or readiness issue worth reviewing.
Recommended action
Review export availability and onboarding copy for Enterprise onboarding accounts.
How the product is evolving.
We are building Hymetry in layers: first the product structure, then richer context, then faster explanation.
Structured product intelligence
- Pages, Companies, Users, and Visits
- Account-level adoption and risk
- User engagement and momentum
- Session timelines and replay
- AI insight cards
- Privacy controls
Richer context and segmentation
- Company attributes
- Saved segments
- Segment filters across every product view
- Segment-aware AI insights
- Better account comparisons
Faster session understanding
- Text-based session narratives
- AI session summaries
- Replay jump links from summaries
- Long loading waits
- Disabled button attempts
- Richer friction detection
This roadmap is directional. We may adjust priorities based on customer feedback, privacy requirements, and technical learning.
The principles behind the roadmap.
Hymetry should help teams understand product behavior without creating another pile of disconnected dashboards.
Evidence first
Every summary should point back to the metrics, segment, session, page, company, or user behind it.
B2B context matters
Product usage should be understood through accounts, users, lifecycle stages, segments, and customer attributes.
Faster than replay, deeper than metrics
Teams should be able to scan a session quickly, then open replay only when visual context is needed.
Privacy by design
Session narratives and replay should respect masking, ignore rules, filters, and capture scope.
Human review
AI should summarize and prioritize. Teams should still decide what to ship, fix, or communicate.
Open enough to trust
Teams with stricter data needs should have a path through open-source and own-server deployment options.
What this should make possible.
The long-term goal is to make product investigation faster, more specific, and more useful for every team around the product.
Product teams
Compare adoption by segment, understand which workflows are struggling, and validate product changes with evidence.
Customer success
See which accounts need help, which users are slipping, and which sessions explain the problem.
UX & research
Find the sessions and users worth reviewing without watching hours of recordings.
Founders & operators
Understand adoption, risk, and friction across the business without stitching together multiple tools.
Vision connects to the product we are building now.
Help shape the future of product intelligence.
Explore the demo project, then talk to us if your team wants account-aware analytics, session context, and AI summaries grounded in product evidence.
Roadmap feedback from early B2B teams directly shapes what we build next.