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UPMETRICS ALTERNATIVE · PROGRAMS & PORTFOLIOS

AI-native data collection. Better decisions.

UpMetrics Alternative for Portfolio Decision Intelligence

Sopact is an AI-native data collection platform. Connect forms, files, interviews and feedback—and let your authorized team manage collection and analysis as your programs grow.

Your next workflow change shouldn’t need a service engagement. If you are looking beyond UpMetrics, compare who will change the forms, maintain the definitions and answer the next question—not only what the dashboard shows.

Who runs the next reporting cycle?

Two products. Different operating priorities.
ProductConsider it whenFocusExplore
SopactYour team wants to run collection and analysis, with connected forms, files, interviews and history.Authorized data owners manage routine changes within defined roles and access.Read →
UpMetricsYou want impact reporting software, with the option to add advisory, capacity building or managed reporting.Software with optional services; establish which recurring tasks your team will own.Read →

This comparison concerns UpMetrics at upmetrics.com, the impact reporting platform—not the similarly named business-planning tool.

Your next workflow change shouldn’t need a service engagement.

A company submits its update. The number looks promising, but the interview describes a new barrier. Your team needs to understand both before deciding what support comes next.

Sopact connects that collection to the company, program and reporting period it describes. Shared definitions give the analysis meaning; source records let the reviewer check the answer. The dashboard is one output of that work, not the starting point.

Your authorized data owner can maintain form fields and logic, contact groups, follow-up stages and analysis definitions. Routine changes do not each need a new vendor or IT request. Initial design, migration and custom integrations may still need specialist help.

Explore the portfolio solution ↗
Video thumbnail: Data Collection and Analysis: Real-Time Insights With AI

LOOP SESSIONS · 3:09

Data Collection and Analysis: Real-Time Insights With AI

Loop Sessions · 3:09. Explore the shift from collecting data for a later report to analyzing it while your team can still act.

AHA Ventures chose Sopact after using UpMetrics.

AHA Ventures moved from UpMetrics to Sopact. Its published story describes the portfolio workflow it is building: connecting company information, impact plans and reporting around a persistent company record.

The implementation brings together information from Affinity, spreadsheets and documents. Planned onboarding work uses company documents and conversation notes to prepare draft logic models and indicators for staff review with the company.

The point is continuity: what the team learns while onboarding a company remains useful when it reviews the next update. The case study describes implementation and planned capabilities—not a completed rollout of every integration or a measured time-saving result.

Read the AHA Ventures case study ↗

The transition from UpMetrics is confirmed by Sopact. The linked public case study documents the implementation approach.

American Heart Association leaders and honorees at the 2026 Impact with Heart event. Photograph by Walter Johnson Jr.
AHA’s 2026 Impact with Heart honorees. © Walter Johnson Jr. Photograph retained from the published customer story. Photo source ↗

UpMetrics pairs software with substantial advisory and managed services.

UpMetrics offers more than help getting started. Its professional services cover data cleaning, transformation and dashboard setup. Its managed services can take on recurring portfolio data collection, dashboard refinement and reporting for funders and boards. Those are operating responsibilities your team would otherwise carry. UpMetrics professional and managed services ↗

The Bay Area cohort’s 2024 report makes the arrangement concrete: a three-year Build → Operate → Transfer model. UpMetrics builds the system in year one, operates and refines it in year two, then offers transfer to the customer or continued operation in year three. The work includes dashboard maintenance, data collection and platform administration, with monthly individual meetings and quarterly learning sessions. 2024 Bay Area cohort report, page 7 ↗

Customer experience adds context. A December 2020 Capterra reviewer praised UpMetrics’ support while describing processes that needed substantial team assistance and a desire to bring more work in-house. This is historical customer feedback, not a finding about every current customer or an independent product test. UpMetrics customer reviews on Capterra ↗

That model can fit a team seeking an external reporting partner. If your priority is managing changes internally, make that the deciding test. UpMetrics has customer-admin tools and optional services; the cohort is one documented engagement, not a required three-year implementation for all customers. UpMetrics FAQ ↗

Your team changes the design—not only the entries.

Ownership should be visible in an ordinary working session. Can your program lead add a follow-up, change who receives it and use the responses with the evidence you already hold?

In Sopact, the authorized owner maintains recurring collection and analysis within the organization’s rules. That is practical control of the workflow; contractual data rights, exports and retention should still be checked separately.

01

Change the collection

Revise questions and form logic. Add the next collection stage for the relevant contact group.

02

Keep the context

Connect updates to the right company, program and period. Maintain definitions so a changed measure is not mistaken for a changed result.

03

Control access

Set the appropriate administrator, editor or viewer role. Check survey and record scope with both permitted and excluded users.

Who makes the change when your program changes?

Compare responsibilities as well as features. UpMetrics’ services are documented offerings, not a claim that its customer tools cannot perform these tasks. Ask both providers to show the work your own team will do after setup.

What mattersSopactUpMetrics
Who runs recurring workYour authorized data owner manages routine collection and analysis after setup.Managed services can run collection, dashboard refinement and ongoing reporting on your behalf.
Changing collectionMaintain form fields and logic, contact groups and follow-up stages internally.Configurable collection tools; service engagements also cover form setup, data preparation and collection management.
Working with qualitative evidenceConnect files, interviews and feedback to company or program records and shared analysis definitions.Coding and categories for qualitative evidence. Test who maintains definitions and repeats the analysis.
Answering a new questionUse the AI Assistant with connected sources and history; review the evidence before acting.Dashboard and analytics tools; professional and managed services can design and maintain reporting.
Managing a growing teamAdministrator, editor and viewer roles, with configured survey and record scope.Customer roles and permissions. Confirm which administration stays with your staff under the service arrangement.
Becoming self-managedPilot routine changes with the internal owner; separate that work from initial design, migration and custom integrations.The Bay Area cohort documents build, operate and transfer stages. Other engagements differ; establish your own handover and responsibilities.

The value is in the analysis you can repeat.

A funder asks why participation changed. The figures show where it fell; interview notes may explain what people experienced. Your team needs to examine both without commissioning a separate analysis for each new question.

Your team needs shared categories—a codebook—with clear definitions. It needs to apply those definitions to the intended records, inspect ambiguous cases and review the source passages. When a definition changes, the team needs to know which earlier findings need another look.

Sopact’s workflow connects the written evidence with the relevant records and quantitative measures. Ask it to examine the same program and period, not attach a comment to an unrelated result because both came from the same organization.

Test that sequence with your own material in both platforms. The difference should show up in repeated work: applying definitions, reviewing exceptions and preparing the next answer.

300 people is not the same as 450 visits.

Imagine three organizations reporting into one fund. One reports 300 people reached. Another reports 450 attendance entries. The third reports 70% improvement but leaves out how many people answered.

Adding those figures would hide the problem, not solve it. Preserve each source, confirm the unit and reporting period, and request the missing denominator before comparing results.

The same discipline applies to interviews: who said it, which program they meant and when it happened matter. A fluent AI explanation cannot supply evidence that was never collected.

Keep the company together. Keep the awards distinct.

One organization may have several awards or investments. Use a stable company identity while keeping the relevant program, award and reporting periods distinguishable.

Agree what each measure means and which results can be combined. Preserve the difference between a company’s self-report, participant feedback and independently checked evidence.

Set responsibility for revising definitions, reviewing AI interpretations and approving external reports. Test access to source records and shared outputs—not only whether someone can open the dashboard.

Let your data owner run the pilot.

Use one reporting cycle with real complexity: an incomplete response, an interview, a returning company and a measure whose definition changed.

Have your own team make the routine changes. Record the time, the help needed and the quality of the resulting answer. A vendor-led presentation alone cannot establish independence.

Keep the current reporting process available until your team accepts the pilot. No direct UpMetrics-to-Sopact migration connector or lossless transfer is claimed.

01

Reproduce

Check the existing report against a representative sample of records, attachments and history.

02

Change

Revise a question or definition. Inspect what changes in the analysis and who can access it.

03

Reconcile

Compare record counts and relationships. Confirm usable exports and document missing historical evidence.

Choose the workflow your team can sustain.

Choose Sopact when you want your own data owner to maintain collection and use forms, files, interviews and history together for recurring decisions. The pilot should demonstrate that control with the people who will actually run it.

UpMetrics may fit better when you want software together with framework advice, capacity building or managed reporting. If bringing that recurring work in-house is the reason you are considering a switch, test your future owner’s independence—not only the report a vendor can prepare for you.

Explore the collection-to-analysis workflow.

See how portfolio records connect, then explore collection design, qualitative analysis and reporting.

Questions worth asking.

What is the main reason to consider Sopact as an UpMetrics alternative?

Sopact’s AI-native data collection approach brings portfolio results together with the context behind them. Due diligence, quarterly updates, financial reports, interview notes and relevant correspondence supplied by fund managers can inform the same company record. A shared data dictionary defines each indicator, its unit, reporting period and calculation rules, so your team can aggregate comparable results without hiding differences. AI-assisted analysis connects the numbers with qualitative evidence to explore what changed and why. Your team can then prepare outcome-based reports with consistent definitions, visible gaps and traceable sources—not totals stripped of the evidence needed to interpret them.

Did AHA Ventures move from UpMetrics to Sopact?

Yes, according to Sopact’s customer history. The public AHA Ventures case study describes the connected company-record implementation and planned onboarding work. It does not name the previous platform, report a comparative benchmark or establish that every planned integration is deployed. Keep the transition fact separate from claims about measured outcomes.

Does UpMetrics already support qualitative data?

Yes. Its current platform page describes coding and categorizing stories and interviews. The buying question is how your team maintains that analysis as definitions, sources and questions change. Use the same anonymized sample to inspect evidence, handle ambiguous interpretations and repeat the work in each platform. Do not treat a qualitative feature label as proof of identical workflows.

Does UpMetrics require ongoing advisory services?

Not for every customer. UpMetrics offers customer tools alongside optional professional and managed services. Its documented Bay Area cohort uses a three-year build, operate and transfer model, but that is not a universal implementation requirement. Ask which tasks your proposed engagement assigns to your staff, which UpMetrics will perform and how ongoing work can move in-house.

Does self-managed mean we never need help?

No. An internal owner needs appropriate access and a working understanding of the collection design. Sopact’s intended benefit is control over routine changes after setup. Initial design, complex migration and custom integrations may need specialist support. Agree those responsibilities before implementation and test an owner-performed change before committing to a wider rollout.

Can our existing UpMetrics data be migrated?

Start with the exports and permissions available in your current configuration. Check company and program identifiers, reporting periods, attachments, definitions and approved histories. Import a representative sample and reconcile it before planning the wider move. This page does not establish a direct migration connector, automatic transfer of every relationship or recreation of evidence that was never stored.

Does AI decide which portfolio results are valid?

No. Staff still agree the measures, check the sources and decide which conclusions are justified. Keep numerical calculations distinguishable from AI interpretation. Missing responses, incompatible units and conflicting accounts should remain visible. A source-linked answer helps a reviewer inspect the evidence; it does not make a self-reported outcome independently verified.

How should we evaluate time savings?

Measure the same work before and during the pilot: preparing collection, following up, applying definitions, reviewing findings and answering a new question. Include your contributors’ effort and record any vendor help. Separate initial setup from recurring operation. Neither AHA’s published implementation story nor this comparison establishes a guaranteed launch duration or a universal saving.

This is Sopact’s comparison of documented workflows, reviewed October 21, 2026—not independent comparative testing. The AHA transition is based on Sopact’s customer history; the public story documents the implementation approach. Fictional examples are labeled. Product configuration and migration need validation.

Sources: UpMetrics platform ↗ · UpMetrics services ↗ · AHA Ventures story ↗ · Sopact connected data workflow ↗

DECISION INTELLIGENCE FOR PROGRAMS & PORTFOLIOS

Bring one reporting cycle.
Keep control of the next one.

Bring a form, a company document and a question your team struggles to answer. We’ll work through the collection, context and review with your future data owner.

See it with your portfolio workflow ↗

Explore the portfolio solution ↗

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