Your state
Why it matters.
Every tool change strands people who wait for training. Task-first learning gets you productive in a week — and teachable to others.
What success looks like.
- One real task completed in a new tool within a week, documented.
- Help-seeking notes: what you asked, where you got unstuck.
- One feature taught to another person successfully.
The component skills.
Typical mistakes.
- — Touring every feature instead of learning one task.
- — Suffering silently instead of asking after 20 minutes stuck.
- — Learning once, then never touching the tool again.
Practise — activities that produce artifacts.
The task-first plan ~15 min
Pick the new tool and the ONE real task you need it for. Write the task, then find only the help that task requires. Skip the feature tour.
Artifact: The one-task learning plan
Retention notes habit ~20 min
While learning, keep a running note: what worked, what you got stuck on, what you asked and where the answer came from. It's your manual next time.
Artifact: The running learning note
Missions — do it for real.
Mentors for this capability.
Matched from real, opted-in DISHA members through the Mentor Intelligence Network — with their trust states shown as stored. Source-listed is not the same as verified.
No opted-in mentors match this capability yet — none are invented. See the Mentors view or the full directory.
How assessment works.
Every submission gets a transparent first-pass against the mission's rubric — what was looked for and what was observed. Verified state requires a real review; the system never upgrades self-reported evidence on its own.
clarity
Short sentences, concrete words, no unexplained jargon
audience_fit
Words and comparisons the audience can follow
completeness
All parts of the task covered — nothing skipped or assumed away
evidence_quality
An observable artifact: worksheet, receipt, photo reference, recording note
follow_through
What happened afterwards — the result and what changed
Accepted evidence: mission_submission, mentor_review, observed_application, work_sample.
Stated plainly — what this doesn't do
- — Submissions are private, self-reported evidence — they never become verified without a real review.
- — Mentor review for capabilities arrives in a later phase of this module.
Source: DISHA MY LIFE SKILLS Module Master Specification v1.0 §4 · v1 · last checked 2026-10-25 · your data rights