A portfolio platform for SaaS-focused GPs,
designed to scale with the firm behind it
A portfolio platform for
SaaS-focused GPs, designed
to scale with the firm behind it
A portfolio platform
for SaaS-focused GPs,
designed to scale with
the firm behind it
OVERVIEW
I.
A redesign that became
a long-term partnership
Parallax is a GP-side portfolio management
platform built for private equity and growth-
equity firms concentrated in SaaS investments —
tracking recurring-revenue metrics, valuations,
and portfolio performance across their funds.
As a multi-tenant platform, it needed to stay
adoptable by firms of every scale,
from an emerging single-fund manager
to an established multi-fund platform, without
requiring a bespoke version for each one. We led
a redesign of the platform's core experience —
and the documented design system behind it —
focused on making data density, access,
and evidence hold up consistently as firms grow.
Parallax is a GP-side portfolio management
platform built for private equity and growth-equity
firms concentrated in SaaS investments — tracking
recurring-revenue metrics, valuations, and portfolio
performance across their funds. As a multi-tenant
platform, it needed to stay adoptable by firms
of every scale, from an emerging single-fund
manager to an established multi-fund platform,
without requiring a bespoke version for each one.
We led a redesign of the platform's core experience
— and the documented design system behind it —
focused on making data density, access, and
evidence hold up consistently as firms grow.
Parallax is a GP-side portfolio management
platform built for private equity and growth-
equity firms concentrated in SaaS
investments — tracking recurring-revenue
metrics, valuations, and portfolio
performance across their funds. As a multi-
tenant platform, it needed to stay adoptable
by firms of every scale, from an emerging
single-fund manager to an established
multi-fund platform, without requiring
a bespoke version for each one. We led
a redesign of the platform's core experience
— and the documented design system
behind it — focused on making data density,
access, and evidence hold up consistently
as firms grow.
Parallax is a GP-side portfolio management platform
built for private equity and growth-equity firms
concentrated in SaaS investments — tracking
recurring-revenue metrics, valuations, and portfolio
performance across their funds. As a multi-tenant
platform, it needed to stay adoptable by firms
of every scale, from an emerging single-fund
manager to an established multi-fund platform,
without requiring a bespoke version for each one.
We led a redesign of the platform's core
experience — and the documented design system
behind it — focused on making data density, access,
and evidence hold up consistently as firms grow.
The interface shown reflects the design at the time
of our engagement and may differ from the current product.
The interface shown reflects the design
at the time of our engagement and may differ
from the current product.
3
1
1
Adaptable metric variants — by revenue
model and company stage — unified
under 1 framework
Adaptable metric variants —
by revenue model and company
stage — unified under 1 framework
Adaptable metric variants —
by revenue model
and company stage —
unified under 1 framework
Adaptable metric variants — by revenue
model and company stage — unified under
1 framework
Audit-ready trail on every valuation
Audit-ready trail on every valuation
Audit-ready trail on every
valuation
Shared design system replacing years
of inconsistent, one-off screens
Shared design system
replacing years of
inconsistent, one-off screens
Shared design system replacing years
of inconsistent, one-off screens
PROBLEM
ii.
Where the platform
struggled to scale
Where the platform
struggled to scale
Where the platform
struggled to scale
As adoption grew, the same underlying interface
started serving everyone worse: dense enough
to overwhelm anyone scanning a portfolio,
inconsistent in how it treated metrics
that only looked the same on the surface,
and stripped of the lineage valuations depend on.
Years of screens and features layered
on with no shared guidelines compounded
all of it.
As adoption grew, the same underlying
interface started serving everyone worse:
dense enough to overwhelm anyone
scanning a portfolio, inconsistent in how
it treated metrics that only looked
the same on the surface, and stripped
of the lineage valuations depend on.
Years of screens and features layered
on with no shared guidelines
compounded all of it.
As adoption grew, the same underlying interface
started serving everyone worse: dense enough
to overwhelm anyone scanning a portfolio,
inconsistent in how it treated metrics that only
looked the same on the surface, and stripped
of the lineage valuations depend on. Years
of screens and features layered on with no shared
guidelines compounded all of it.
Density built for depth undermined scanning
across the portfolio
Density built for depth undermined scanning
across the portfolio
Density built for depth
undermined scanning
across the portfolio
Density built for depth undermined
scanning across the portfolio
Analysts comparing multiple portfolio companies at once were met with the same level
of detail meant for a single deep dive — every KPI, trend line, and drill-down loaded
by default — turning a quick portfolio scan into a slow, deliberate read every time.
Analysts comparing multiple portfolio companies at once were met
with the same level of detail meant for a single deep dive — every KPI,
trend line, and drill-down loaded by default — turning a quick
portfolio scan into a slow, deliberate read every time.
Analysts comparing multiple portfolio companies
at once were met with the same level of detail
meant for a single deep dive — every KPI, trend
line, and drill-down loaded by default — turning
a quick portfolio scan into a slow, deliberate read
every time.
Analysts comparing multiple portfolio companies
at once were met with the same level of detail
meant for a single deep dive — every KPI, trend line,
and drill-down loaded by default — turning a quick
portfolio scan into a slow, deliberate read
every time.
The same metric meant different things depending
on a portfolio company's underlying revenue model
The same metric meant different things
depending on a portfolio company's
underlying revenue model
The same metric meant different
things depending on a portfolio
company's underlying
revenue model
The same metric meant different things
depending on a portfolio company's
underlying revenue model
ARR looked different for a usage-based product than a seat-based one,
and a growth-stage company's healthy burn multiple looked nothing like an early-stage
company's. The platform tracked all of it under one generic definition, leaving analysts
to quietly adjust or second-guess numbers the platform was supposed
to make comparable.
ARR looked different for a usage-based product than a seat-based
one, and a growth-stage company's healthy burn multiple looked
nothing like an early-stage company's. The platform tracked all
of it under one generic definition, leaving analysts to quietly adjust
or second-guess numbers the platform was supposed
to make comparable.
ARR looked different for a usage-based product
than a seat-based one, and a growth-stage
company's healthy burn multiple looked nothing
like an early-stage company's. The platform
tracked all of it under one generic definition,
leaving analysts to quietly adjust or second-guess
numbers the platform was supposed
to make comparable.
ARR looked different for a usage-based product
than a seat-based one, and a growth-stage
company's healthy burn multiple looked nothing like
an early-stage company's. The platform tracked all
of it under one generic definition, leaving analysts
to quietly adjust or second-guess numbers
the platform was supposed to make comparable.
Numbers that faced external audit had no visible path back
to their source
Numbers that faced external audit
had no visible path back to their source
Numbers that faced external
audit had no visible path back
to their source
Numbers that faced external audit had
no visible path back to their source
ARR multiples and comps displayed cleanly on screen, but the methodology and inputs
behind them lived outside the platform, so verifying a figure meant leaving the tool
entirely, every time.
ARR multiples and comps displayed cleanly on screen,
but the methodology and inputs behind them lived outside
the platform, so verifying a figure meant leaving the tool entirely,
every time.
ARR multiples and comps displayed cleanly
on screen, but the methodology and inputs behind
them lived outside the platform, so verifying
a figure meant leaving the tool entirely, every time.
ARR multiples and comps displayed cleanly
on screen, but the methodology and inputs behind
them lived outside the platform, so verifying
a figure meant leaving the tool entirely, every time.
Years of layered screens left no shared visual
or interaction language
Years of layered screens left no shared visual
or interaction language
Years of layered screens
left no shared visual
or interaction language
Years of layered screens left no shared
visual or interaction language
As the platform grew, feature after feature was designed and shipped independently,
with no documented guidelines for spacing, components, or interaction patterns.
Every addition compounded the inconsistency, and every new build took longer
than it should have because there was nothing established to build on.
As the platform grew, feature after feature was designed and shipped
independently, with no documented guidelines for spacing,
components, or interaction patterns. Every addition compounded
the inconsistency, and every new build took longer than it should
have because there was nothing established to build on.
As the platform grew, feature after feature
was designed and shipped independently,
with no documented guidelines for spacing,
components, or interaction patterns. Every
addition compounded the inconsistency,
and every new build took longer than it should
have because there was nothing established
to build on.
As the platform grew, feature after feature
was designed and shipped independently,
with no documented guidelines for spacing,
components, or interaction patterns. Every addition
compounded the inconsistency, and every new
build took longer than it should have because
there was nothing established to build on.
OUR APPROACH
iii.
Creating a flexible foundation
for a growing platform
We treated these as one underlying problem:
the platform needed to work the same way
for everyone using it, whether a firm ran a single
SaaS-focused fund or several. We built patterns
flexible enough to adapt to scale and to genuine
variation within SaaS itself, rather than adding
one-off configuration for each new firm
or company type.
We treated these as one underlying
problem: the platform needed to work
the same way for everyone using it, whether
a firm ran a single SaaS-focused fund
or several. We built patterns flexible enough
to adapt to scale and to genuine variation
within SaaS itself, rather than adding
one-off configuration for each new firm
or company type.
We treated these as one underlying problem:
the platform needed to work the same way
for everyone using it, whether a firm ran a single
SaaS-focused fund or several. We built patterns
flexible enough to adapt to scale and to genuine
variation within SaaS itself, rather than adding
one-off configuration for each new firm
or company type.
A portfolio-wide scan, distinct from
single-company depth
A portfolio-wide scan, distinct from
single-company depth
A portfolio-wide scan,
distinct from
single-company depth
A portfolio-wide scan, distinct
from single-company depth
We built a summary layer showing key figures across a full portfolio at a glance,
with full company detail available on demand rather than loaded by default —
so comparing ten companies and studying one no longer competed for the same
screen, whatever the size of the portfolio.
We built a summary layer showing key figures across a full
portfolio at a glance, with full company detail available
on demand rather than loaded by default — so comparing ten
companies and studying one no longer competed for the same
screen, whatever the size of the portfolio.
We built a summary layer showing key
figures across a full portfolio at a glance,
with full company detail available
on demand rather than loaded by default —
so comparing ten companies and studying
one no longer competed for the same
screen, whatever the size of the portfolio.
A metric framework built around
how SaaS companies actually differ
A metric framework built around how
SaaS companies actually differ
A metric framework built
around how SaaS companies
actually differ
A metric framework built
around how SaaS companies
actually differ
We defined core metrics with model-aware variants — usage-based vs. seat-based
ARR, stage-adjusted burn and growth benchmarks — so portfolio-wide
comparisons stay meaningful instead of forcing every company into
one generic definition.
We defined core metrics with model-aware variants — usage-
based vs. seat-based ARR, stage-adjusted burn and growth
benchmarks — so portfolio-wide comparisons stay meaningful
instead of forcing every company into one generic definition.
We defined core metrics with model-aware
variants — usage-based vs. seat-based ARR,
stage-adjusted burn and growth
benchmarks — so portfolio-wide
comparisons stay meaningful instead
of forcing every company into one
generic definition.
Every valuation is traceable from
the number to its source
Every valuation is traceable from
the number to its source
Every valuation is traceable
from the number
to its source
Every valuation is traceable from
the number to its source
Each figure now links directly to the methodology, inputs, and date behind it,
so verifying a number happens inside the platform instead of requiring
a separate document hunt.
Each figure now links directly to the methodology, inputs,
and date behind it, so verifying a number happens inside
the platform instead of requiring a separate document hunt.
Each figure now links directly
to the methodology, inputs, and date behind
it, so verifying a number happens inside
the platform instead of requiring a separate
document hunt.
Each figure now links directly
to the methodology, inputs, and date behind
it, so verifying a number happens inside
the platform instead of requiring a separate
document hunt.
A documented design system,
not another one-off screen
A documented design system,
not another one-off screen
A documented design
system, not another
one-off screen
A documented design system,
not another one-off screen
We formalized the components, spacing, typography, and interaction patterns
behind the redesign into a documented design system, so new features
could be built consistently going forward instead of starting from scratch
each time.
We formalized the components, spacing, typography,
and interaction patterns behind the redesign
into a documented design system, so new features
could be built consistently going forward instead of starting
from scratch each time.
We formalized the components, spacing,
typography, and interaction patterns behind
the redesign into a documented design
system, so new features could be built
consistently going forward instead
of starting from scratch each time.
RESULTS
iv.
Consistency, comparability,
and trust, built into
the platform
Consistency,
comparability, and trust,
built into the platform
3
Adaptable metric variants — by revenue model and company stage —
unified under 1 comparable framework. Portfolio comparisons stay
meaningful across genuinely different business models, without forcing
every company into the same definition.
Adaptable metric variants — by revenue model
and company stage — unified under 1 comparable
framework. Portfolio comparisons stay meaningful
across genuinely different business models, without
forcing every company into the same definition.
Adaptable metric variants — by revenue
model and company stage — unified
under 1 comparable framework. Portfolio
comparisons stay meaningful across
genuinely different business models,
without forcing every company into
the same definition.
Adaptable metric variants — by revenue
model and company stage — unified under
1 comparable framework. Portfolio
comparisons stay meaningful across
genuinely different business models,
without forcing every company into
the same definition.
1
Audit-ready trail on every valuation. Methodology, inputs, and valuation
date travel with the number itself, so audit and LP scrutiny no longer send
anyone outside the platform to verify it.
Audit-ready trail on every valuation. Methodology,
inputs, and valuation date travel with the number itself,
so audit and LP scrutiny no longer send anyone outside
the platform to verify it.
Audit-ready trail on every valuation.
Methodology, inputs, and valuation date
travel with the number itself, so audit
and LP scrutiny no longer send anyone
outside the platform to verify it.
Audit-ready trail on every valuation.
Methodology, inputs, and valuation date
travel with the number itself, so audit
and LP scrutiny no longer send anyone
outside the platform to verify it.
1
Shared design system replacing years of inconsistent, one-off screens.
New features now build on shared, documented components instead
of starting from scratch, keeping the platform coherent
as it continues to grow.
Shared design system replacing years of inconsistent,
one-off screens. New features now build on shared,
documented components instead of starting
from scratch, keeping the platform coherent
as it continues to grow.
Shared design system replacing years
of inconsistent, one-off screens.
New features now build on shared,
documented components instead
of starting from scratch, keeping
the platform coherent as it continues
to grow.
Shared design system replacing years
of inconsistent, one-off screens.
New features now build on shared,
documented components instead
of starting from scratch, keeping
the platform coherent as it continues
to grow.
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