Pulse — pitch deck
PPulse

From a PRD to a monitored product in one afternoon.

Recommended metrics, role-specific dashboards and incidents with owners, in one workspace.

HARIKRISHNA SURIYANARAYANANPITCH · 2026
MEMO · 02 · THE PROBLEM

Product teams can see their metrics. They cannot see what to do about them.

A typical team of five product managers spends about six hours a week each pulling numbers from analytics, the database, Jira and Slack. That is 1,500 hours a year spent assembling reports instead of acting on them.

When something breaks, nobody owns it. An activation drop after a release is noticed about three days later, after the affected users have already stalled. Analytics tools and monitoring tools each see half the picture.

₹70L

lost per product team each year: ₹22.5L of PM time on manual reporting and ₹48L from issues caught late.

ESTIMATE · 5 PMs · ~1,000 SIGNUPS / WEEK
3 days

between an 8.2% activation drop and someone owning it. 312 new workspaces stalled in that window.

MEMO · 05 · THE INSIGHT

Start from what the product promises, not from the data you happen to have.

Every product already writes down what it must deliver: the PRD. Pulse reads that context, matches it to a repository of metrics for SaaS, fintech, food delivery, CMS and social listening, and proposes what to measure, with the formula and the reason.

The team approves the plan before connecting any data. Dashboards, alerts and incidents are then built from approved definitions, so everyone argues about decisions instead of which number is right.

PRODUCT · APP

The workspace, live

Click through it: lenses, dashboards, metric library, incidents.

Pulse v4.dc.html
MEMO · 09 · THE ALTERNATIVES

Each alternative sees half the picture.

Amplitude, MixpanelStrong product analytics. You choose what to track; no incident workflow.
DatadogStrong engineering monitoring. No product or leadership view.
Monte CarloWatches data quality, not product outcomes.
Looker, Power BIDashboards built by hand. No recommendations.
PulsePRD to suggested metrics to role dashboards to owned incidents, in one place.
MVP BOUNDARIES

What is real, what is simulated

Telemetry is seeded. Slack, Gmail, Jira, Teams and Notion connections are simulated previews; nothing is sent. Nothing is stored on a server. Excel export downloads a real .xlsx of the sample data.

MEMO · 11 · BUSINESS MODEL

Priced per dashboard. Viewers are always free.

Launch
₹0

1 dashboard, Postgres or GA4, web SDK.

Build
₹1,999

Per dashboard per month. S3, MongoDB, mobile SDKs.

Scale
₹4,999

Warehouses, anomaly detection, incidents, SSO.

Enterprise
Custom

VPC connector, India or EU residency.

A typical Scale team with four dashboards pays ₹2.4L a year against about ₹70L of pain: roughly 29 times.

VALIDATION

How we would know it works

Proposed pilot measures: time from PRD to first dashboard, median time to acknowledge an incident, share of alerts marked actionable, and reports sent on schedule. Targets, not results.

Proposed pilot measures. No traction is claimed.
NEXT · 90-DAY PILOT

Ten product teams. Four numbers that would prove it.

Median time to acknowledge
< 1 h
Actionable-alert rate
> 60%
Suggested metrics approved
> 70%
Free to paid
5%

Targets, not results. Prototype: Pulse v4.dc.html · harikrishna2004official@gmail.com

NEXT STEP

See it working

Open the demo→Read the case study→Product site→Pricing→Portfolio→Contact→
Local links work when the site folder is deployed. No public hosted URL is published yet.
APPENDIX

Optional detail

Slides after this point are supporting material, not part of the 12-slide main deck.

PRODUCT · LANDING

Why people sign up

The selling points, as visitors see them.

Pulse Landing.dc.html
PulseOverviewDashboardsMetricsIncidents
DIGIDASH · METRIC BLUEPRINT
Insight share rateSUGGESTED

Tests whether insights travel into team decision-making.

ApproveEdit
Workspace activation rate58.4%
Listening source coverage93.1%
Dashboard query failure rate1.8%
1 2
PRODUCT TOUR · 1 OF 3

The metric blueprint

1Suggestions come from the product type, users and stated risk in the PRD.
2Every metric is approved, edited or rejected before any credentials are requested.
SharedProductLeadershipEngineering
DIGIDASH · LEADERSHIP LENS · LAST QUARTER
Product health
82/100
Open risks
3
Decisions needed

Activation dropped after source setup change. Confirm fix priority and owner.

1 2
PRODUCT TOUR · 2 OF 3

One product, three lenses

1Product, Leadership and Engineering each get their own metrics and time window.
2Each lens ends in an action: decisions for leaders, the on-call queue for engineers.
INCIDENT COMMAND
Activation dropped after source setup change
INC-1042 · 42m ago
LinkedIn listening coverage is incomplete
Dashboard query failures exceed policy
Critical
Primary owner
Maya Chen
Resolution evidence
Funnel break at OAuth callback. Comparing release 4.8.1 with the previous flow.
Required before resolving.
1 2
PRODUCT TOUR · 3 OF 3

Movement becomes an owned incident

1A breach of an approved threshold opens an incident tied to its metric.
2It cannot be resolved without an owner and written evidence.
₹10.8Cr

a year in recurring revenue by year three: 12,000 free workspaces, 5% converting, about ₹1.8L each. India first; global is the upside.