CASE INTELLIGENCE · CLEAR IMPACT ALTERNATIVE
AI-native data collection. Better decisions.
Change the questions you collect, connect interviews to case history and analyze the answers. Your data owner can maintain the workflow—not just view its dashboard.
Evaluating Clear Impact alternatives? The important difference is not whether you can store a file. It is whether the evidence inside it becomes usable in a workflow your team can manage.
DECISION INTELLIGENCE FOR PROGRAMS & PORTFOLIOS. Decision intelligence connects a program measure to the evidence needed to interpret it and the next action to assess. Sopact is an AI-native data collection platform connecting forms, supported files, collected interview transcripts and history. Compare that workflow with Compyle and Scorecard—not metrics versus a platform assumed to have no context.
| Product | Consider it for | Focus | Explore |
|---|---|---|---|
| Sopact | Teams running mixed-source case collection and analysis themselves. | Document context, shared definitions and configured permissions. | Read → |
| Clear Impact | Teams combining participant records with Results-Based Accountability and performance improvement. | Compyle records connected to Scorecard measures and AI Assist. | Read → |
THE OPERATING MODEL · WHO DOES THE WORK?
Your attendance numbers raise a question the original form never asked. Your data owner should be able to add a follow-up, connect an interview and review it alongside the numbers. Changing the collection design and interpreting the evidence belong in the same workflow.
Compyle’s help guide says data in files attached through its Files tab cannot be used in analytics. Users can download and view them. This is a specific documented limitation—not a claim that Clear Impact cannot analyze any qualitative data or that other file workflows behave identically.
Read the documentation ↗Compyle documents customer tools for forms, analytics, users and roles. Its Unlimited Suite guide also describes a scoped implementation service and administrator training. Those facts do not support calling all Compyle deployments advisor-dependent.
Read the documentation ↗An authorized data owner can revise questions and form logic, maintain contact groups and collection stages, and scope access. Connect files and interviews to the right records, then review them alongside the numbers. Demonstrate those changes with your own team after setup.
Explore the solution ↗The ownership test: Can your authorized data owner make the next routine change, check the result and explain who can see it?
WHY CONSIDER SOPACT
In his conversation with Unmesh, Marco Botha describes asking Sopact to look for inefficiencies in Open Play’s program. The assistant highlighted a decline in girls’ retention and suggested reviewing late session times and the safety of the walk home.
The suggested responses were practical: move sessions earlier, or arrange for coaches to walk home with the group. The transcript does not establish a measured improvement after those suggestions, or prove that timing caused the decline.
That distinction matters. Useful case intelligence helps a team investigate a pattern and choose a response. It does not turn a plausible explanation into a fact.
Explore the case-management workflow ↗FOLLOW THE EVIDENCE · SELECT EACH STEP
Illustrative case-review exercise · synthetic evidence, not Open Play data or a live Sopact interface.
Why might participation have changed?
WEEKS 1–2 → WEEKS 3–4
Sample attendance: 18 of 20 scheduled visits, then 12 of 20. Same visit-based denominator.
Attendance fell from 90% to 60%. That calculation identifies a change. It does not explain it.
Why might participation have changed?
STAFF NOTE + PARTICIPANT FEEDBACK
Staff note: sessions now end after sunset. Feedback: walking home later is a concern.
Session timing is a plausible barrier supported by these two sources. Other explanations still need checking.
Why might participation have changed?
TEAM REVIEW
Proposed follow-up: ask participants about timing, review transport options and track the next collection period.
The team decides whether to change the schedule. Keep collecting so the next review can assess what happened after the change.
Calculation tells you what moved. Interpretation suggests what to investigate. People decide what to change.
COLLECTION → CONTEXT → REVIEW
Use consistent IDs, dates and definitions. Connect narrative evidence to the relevant person or program rather than leaving it in a separate folder.
Review a program pattern, then examine the underlying records. A cohort average may hide very different needs.
What supports the explanation? What contradicts it? What should be collected next? Analysis should make uncertainty visible.
GOVERNED SELF-MANAGEMENT · GROWING PROGRAMS & TEAMS
Sopact’s enterprise value is practical: more programs and contributors should not mean unrestricted access or a new reporting rebuild each cycle. The controls below support team-managed work; their setup and behavior need to be checked against your policy.
Administrator, editor and viewer roles distinguish configuration, editing and read-only use. Give the people maintaining the workflow the access they need; do not give every contributor administrator access.
Restrict access to selected surveys and filtered records—for example, one location’s responses. Validate the configured policy with both an authorized account and an account that should be excluded.
Use contact groups and persistent IDs to connect collection stages. Correct setup matters: a matching name is not an identity policy, and an ID does not repair an incorrectly linked record.
Use response tracking and distribution links to follow collection progress. Distinguish people who have not responded from people reporting no change or no result.
Keep interpretation instructions and agreed measures with the workflow. Use the calculation engine for quantitative results, then review AI interpretations of written evidence.
Name who maintains forms, approves definition changes and reviews findings. Self-managed means routine work stays with your authorized team—not that setup, security or judgment disappear.
Product basis: Sopact collection and control · Self-managed workflow · Governance practices. Test configured access across records, AI answers and shared reports; a policy statement is not a security test.
WHERE EACH FITS
Choose Sopact when your team needs to own the collection design as well as the data: maintain questions and form logic, connect records across collection stages, set access and review qualitative and quantitative evidence. Routine changes stay with your authorized data owner. Complex migration, custom integrations and initial setup may still need specialist help.
See the workflow ↗Clear Impact’s Compyle already connects surveys, case notes, files and outcomes to a longitudinal participant profile. Scorecard adds Results-Based Accountability, performance planning and AI Assist for measure analysis and narrative support. This is a comparison of analysis workflows—not AI versus no AI.
Read Clear Impact’s product page ↗DIRECT COMPARISON · OWNERSHIP, EVIDENCE & CONTROL
These are documented approaches and specific tasks to verify—not a claim that one platform has no controls or that support means dependency.
| Decision area | Sopact | Clear Impact |
|---|---|---|
| Data design and routine changes | Your authorized owner maintains form fields and logic, contact groups, collection stages and analysis definitions. | Compyle documents customer form, analytics and administration tools. |
| Attached documents | Files and transcripts can supply configured analysis context; test supported formats. | Files-tab contents are documented as unavailable to analytics; other pathways need confirmation. |
| Qualitative + quantitative | Review written evidence with calculated results and person history. | Scorecard AI Assist supports measures and narrative work; test case-document analysis separately. |
| Access as teams grow | Survey scope, filtered records and viewer/editor roles. | Compyle roles and group access; verify your required scope. |
| Setup and expansion | Internal ownership after configuration; support when needed. | Unlimited Suite describes scoped implementation and train-the-trainer support. |
Sources: Sopact workflow · Clear Impact capabilities · A documented file-analysis boundary · Customer administration does exist · Your team designs the next change · Scorecard and AI Assist · Scoped network implementation.
CUSTOMER STORY · OPEN PLAY FOUNDATION
Published Sopact customer story.
Not a head-to-head benchmark.
Marco Botha describes using Sopact for participation, staff management, water monitoring and maintenance. A maintenance photo could show a problem he previously might only have found during a site visit. Open Play’s published story also describes bringing ten programs into one funder report. The lesson is practical: collect evidence that helps the team run its programs, then reuse it for reporting. This is not a benchmark against Clear Impact.
See how Open Play uses the evidence ↗PUT THE CLAIMS TO WORK
Have your data owner add a question and conditional follow-up, connect it to an existing participant group and check that earlier records remain usable.
Have your data owner add the next collection stage and ask a question spanning the existing history and new evidence.
Test survey-level and record-level boundaries, read-only review and the sources exposed in an answer.
Have your intended data owner perform the changes—not only the vendor’s demo specialist. Record which tasks they can complete, which require help, and whether the evidence and access boundaries still hold. Validate required integrations and migration separately.
OWN THE DATA DESIGN · PROVE IT WITH YOUR TEAM
Ask your intended data owner to change one live collection workflow in a safe test environment. The goal is to reduce vendor and IT handoffs for routine changes while keeping the evidence and access rules intact.
Add a question and conditional follow-up. Check how old and new responses will be interpreted.
Add a collection stage for the right contact group. Confirm IDs and earlier history still connect.
Set the appropriate access, then review a new answer with its sources. Test an excluded user too.
Record the time your own team needs, the help it requests and whether the result is usable. This tests practical independence; it is not a guaranteed rollout time or a claim that another platform cannot make the same change.
Explore the solution ↗BEFORE YOU CHOOSE
Yes. Its Scorecard page documents AI Assist for analysis of measures and help drafting narrative sections. The useful comparison is therefore the evidence each assistant works with and the tasks it supports. Test person-level questions, narrative evidence, source inspection and follow-up questions with the same anonymized material rather than treating an AI label as a differentiator.
Yes. Compyle describes a longitudinal participant profile with forms, surveys, notes, files and outcomes. That makes a single record a shared capability, not a unique claim for Sopact. The comparison should investigate how teams use that record to understand change, review explanations and carry learning into their day-to-day work.
Do not assume an exact replacement. List the measures, planning routines, partner relationships and public reporting requirements your team relies on. Then demonstrate how each would work in the proposed setup. Sopact may fit a connected collection-and-analysis need, but this page does not claim equivalent RBA training, templates or every Scorecard function.
Keep the underlying records, calculations and interpretations distinguishable. Ask what supports the explanation, what contradicts it and what remains unknown. Check dates and definitions before comparing groups or periods. In the example above, an attendance change is a calculation; the explanation is a hypothesis that requires staff review and a conversation with participants.
Use a small, representative set of participant histories and program records. Include repeated surveys, notes, attachments, group membership and access rules. Reconcile calculations using the same definitions, and test the reports and actions staff rely on. No direct connector or lossless transfer from Clear Impact to Sopact has been established by this comparison.
Self-managed means your authorized data owner maintains routine collection design, access and analysis after setup. Staff can collect data without all becoming administrators. It is not a promise of zero training or zero support: initial configuration, complex migration and custom integrations may need specialists.
Sopact is designed for an authorized data owner to maintain form fields and logic, contact groups, collection stages and analysis definitions. That lets routine workflow changes stay with your team. Test a real change during evaluation, including its effect on history and permissions. Complex migrations and custom integrations are separate work; self-managed does not mean every technical task needs no help.
SEE IT WITH YOUR WORKFLOW
Bring one form, one case document and the next question your team needs to answer. Test collection, analysis and access as one workflow.
Test your case files and controlsHow this comparison was prepared. Sopact publishes this page. We reviewed official product pages on October 21, 2026 and used the customer material linked above. This is a comparison of documented workflows, not independent product testing. The interactive examples use synthetic data and scripted answers; they are not live AI, screenshots or measured customer outcomes. Configuration, access rules, integrations and migration require validation for your organization.
Explore Sopact’s AI-native data collection platform and case management.
